Elenco completo delle pubblicazioni

Maggio 2024

Pubblicazioni: Libri e capitoli di libri

  1. Hermens H., Freriks B, Merletti R., Stegeman D., Blok J., Rau G., Disselhorst-Klug C., Hagg G., European Recommendations for Surface Electromyography, RRD publish. ISBN 90-75452-15-2, 1999.

  2. Hermens H., Freriks B, Merletti R., Stegeman D., Blok J., Rau G., Disselhorst-Klug C., Hagg G., Raccomandazioni Europee per l’Elettromiografia di Superficie, Edizione italiana a cura di R. Merletti, Coop. Lib. Univ. Torinese (CLUT), ISBN 88-7992-1525, 2000

  3. Merletti (editor) , Elementi di elettromiografia di superficie, Coop. Lib. Univ. Torinese (CLUT), ISBN 88-7922-153-3, 2000

  4. Pozzo M., Farina D., Merletti R., Electromyography: detection, processing and applications, in: Handbook of biomedical technology and devices, J. E. Moore (ed.), CRC Press, 2003

  5. Farina D., Filligoi G.C., Merletti R., Analisi di segnali EMG di superficie per lo studio del controllo motorio. In “Bioingegneria della postura e del movimento” Cappello A., Cappozzo A., di Prampero P.E. (Eds.), Patron Editore (Pub.), pp. 281-306, 2003

  6. Merletti R., Medicina del lavoro: valutazioni tramite EMG di superficie. In “Bioingegneria della postura e del movimento” Cappello A., Cappozzo A., di Prampero P.E. (Eds.), Patron Editore (Pub.), pp. 495-510, 2003

  7. Merletti R., Marchetti M., Contardo V., Veronica M., Applicazioni dell’EMG di superficie in riabilitazione sportiva, cap. 4.7 del testo “La Spalla e lo Sport”, Masson,

  8. Merletti R., Parker P.A. (edts.), Electromyography: Physiology, engineering and non invasive applications, IEEE Press / J Wiley, USA, 2004

  9. Rainoldi A., Minetto M., Merletti R. (edtrs), Biomedical Engineering in exercise and sports. Edizioni Minerva Medica, Torino 2006, Italy

  10. Barbero M., Rainoldi A, Merletti R. Atlas of muscle innervation zones: understanding surface EMG and its applications, Springer, Italy 2012, ISBN 978-88-470-2462-5

  11. Merletti R, Farina D. (edts) Surface Electromyography: physiology, engineering and applications, IEEE Press / J Wiley, USA, May 2016

  12. Merletti R., Pelvic floor EMG: principles, technique and applications, Ch 7 of “ Childbirth related pelvic floor dysfunctions”, Springer 2016.

  13. Merletti R., Campanini I., Rymer W.Z., Disselhorst-Klug C., (editors), Surface electromyography: barriers limiting widespread use of sEMG in clinical assessment and neurorehabilitation. Open Access e-book. Frontiers in neurology/Neurorehabilitation, 2021; doi: 10.3389/978-2-88966-616-4 , ISBN 2889666166, 9782889666164 Open access book

Pubblicazioni su riviste internazionali

  1. Merletti R, V. Kirilkuc, E. Corson, S. Corson, D. Patel, Instrumentation for the maintenance of an open loop condition in the body fluid volume control system of small laboratory animals and for the automatic recording of urine flow and conductivity during antidiuretic hormone bioassay, Med. and Biol. Eng., 1972; 11:. 480-488,
  2. Stefancic M, R. Merletti, S. Rebersek, Therapeutic effect of the Ljubijana functional electronic brace, Europa Medicophysica, 1976; 12: 1-9
  3. Merletti R, R. Acimovic, S. Grobelnik, G. Cvilak, Electrophysiological orthosis of the upper extremity in hemiplegic patients: feasibility study, Arch. of. Phys. Med. and Rehab., 1975; 56: 507-513
  4. Merletti R, F. Zelaschi, D. Latella, M. Galli, S. Angeli, M. Bellucci Sessa,
    A control study of muscle force recovery in hemiparetic patients during treatment with functional electrical stimulation, Scand. J. of Phys. Med. and Rehab., 1978;10:147-154
  5. Merletti R, A. Andina, M. Galante, I. Furlan, Clinical experience of electronic peroneal stimulators in 50 hemiparetic patients, Scand, J. of Phys. Med. and Rehab., 1979; 11: 111-121
  6. MerlettiR., L’elettrostimolazione funzionale nel neuroleso centrale: efficacia ortesica e terapeutica, risultati, criteri, e limiti di applicazione, Europa Medicophysica, 1980;16:11-22
  7. Merletti R, P. Pinelli, A critical appraisal of neuromuscular stimulation and electrotherapy in neurorehabilitation, European Neurology, 1980;19:39-42
  8. Merletti R, M. Burzio, L. Granero, M.L. Rolfo, Tomographic evaluation of size and X-Ray density of normal and denervated human muscles, Int. Rehab. Medicine, 1981;3:193-200
  9. Merletti R., D. Bravar, Clinical engineering in Italy: two local experiences, Medical and Biolog. Eng. and Comp. 1984;22:106-112
  10. Merletti R, M. Sabbahi, C.J. De Luca, Median frequency of the myoelectric signal: effect of muscle ischemia and cooling, European J. of Applied Physiology, 1984;52:258-265
  11. Merletti R., M. Biey, D. Biey, G. Prato, A. Orusa, On-line monitoring of the median frequency of the surface EMG power spectrum, IEEE Trans. on Biomedical Eng., 1985; 32:1-7
  12. Merletti R, F. Repossi, C. Mathis, E. Richetta, C. Saracco, Size and X-Ray density of normal and denervated muscles of the human leg and forearm International Rehabil. Medicine 1986;8:82-89
  13. De Luca C., Merletti R., Surface EMG crosstalk among muscles of the leg, Electroenc. and Clin. Neurophys., 1988;69:568-575
  14. Knaflitz R., R. Merletti, Suppression of stimulation artifacts from myoelectric evoked potential recordings, IEEE Trans. on BME, 1988;35:758-736
  15. M. Knaflitz , R. Merletti , C. J. De Luca Inference of motor unit recruitment order in voluntary and electrically elicitec contractions, J. of appl. physiol. 1990;68:1657-1667
  16. Merletti R., M. Knaflitz , C.J. De Luca Myoelectric manifestations of muscle fatigue during voluntary and electrically elicited contractions., J. of appl. physiol. 1990;69:1810-1820
  17. Merletti R., Lo Conte L. R., Orizio C., Indices of muscle fatigue, J. of Electromyog. and Kines. 1991;1: 20-33,
  18. Merletti R., Lo Conte L. R., Cisari C., Actis M. V. , Age related changes in surface myoelectric signals, Scand. J. of Rehab. Med. , 1992;25: 25-36
  19. Merletti R., M. Knaflitz, C. J. De Luca Electrically evoked myoelectric signals , Crit. Reviews in Biomedical Engineering, 1992;19:293-340
  20. Merletti R, L. R. Lo Conte Electrically evoked surface myoelectric signals , Functional Neurology, 1992;VII:153-158,.
  21. Merletti R, Lo Conte LR, Cisari C, Massazza U. Effect of ankle joint position on electrically evoked surface myoelectric signals of the tibialis anterior muscle. Arch Phys Med Rehabil. 1993;74(5):501-506. doi: 10.1016/0003-9993(93)90114-p.
  22. Merletti R, De Luca CJ, Sathyan D. Electrically evoked myoelectric signals in back muscles: effect of side dominance. J Appl Physiol (1985). 1994;77(5):2104-2114. doi: 10.1152/jappl.1994.77.5.2104
  23. Fiorito A, Rao S, Merletti R. Analogue and digital instruments for non-invasive estimation of muscle fibre conduction velocity. Med Biol Eng Comput. 1994;32(5):521-529. doi: 10.1007/BF02515310.
  24. Merletti R., Gulisashvili, A. ,Lo Conte L., Estimation of shape characteristics of surface muscle signal spectra from time domain data, IEEE Trans. BME, 1995; 42: 769-776
  25. Merletti R, Lo Conte LR, Sathyan D. Repeatability of electrically-evoked myoelectric signals in the human tibialis anterior muscle. J Electromyogr Kinesiol. 1995;5(2):67-80. doi: 10.1016/1050-6411(94)00004-6
  26. Merletti R, Lo Conte LR. Advances in processing of surface myoelectric signals: Part 1. Med Biol Eng Comput. 1995;33(3 Spec No):362-372. doi: 10.1007/BF02510518
  27. Lo Conte LR, Merletti R. Advances in processing of surface myoelectric signals: Part 2. Med Biol Eng Comput. 1995 May;33(3 Spec No):373-384. doi: 10.1007/BF02510519.
  28. Merletti R, Roy S. Myoelectric and mechanical manifestations of muscle fatigue in voluntary contractions. J Orthop Sports Phys Ther. 1996; 24(6): 342-353. doi: 10.2519/jospt.1996.24.6.342.
  29. Merletti R, Fiorito A, Lo Conte LR, Cisari C. Repeatability of electrically evoked EMG signals in the human vastus medialis muscle. Muscle &Nerve. 1998; 21(2):184-193. doi: 10.1002/(sici)1097-4598(199802)21:2<184::aid-mus5>3.0.co;2-7.
  30. Merletti R., Lo Conte L., Avignone E., Guglielminotti P., Modeling of surface myoelectric signals, Part I: Model implementation, IEEE Trans. on Biomedical Eng. 1999; 46: 810-820, doi: 10.1109/10.771190
  31. Merletti R., Roy S., Kupa E., Roatta S., Granata A., Modeling of surface myoelectric signals, Part II: Model based signal interpretation, IEEE Trans. on BME. 1999; 46: 821-829, doi: 10.1109/10.771191
  32. Merletti R., Parker P., Electromyography, J. Wiley Encyclopedia of Electrical and Electronics Engineering , 1999;6: 523-540
  33. Farina D., Merletti R., Rainoldi A., Buonocore M., Casale R., Two methods for the measurement of voluntary contraction torque in the biceps brachii muscle, Medical Engineering & Physics, 1999;21: 533-540 doi: 10.1016/S1350-4533(99)00070-2

  34. Merletti R, Farina D, Granata Non-invasive assessment of motor unit properties with linear electrode arrays. Electroencephalogr Clin Neurophysiol (Suppl.), 1999;50:293-300

  35. Pattichis CS, Schofield I, Merletti R, Parker PA, Middleton LT. Introduction to this special issue. Intelligent data analysis in electromyography and electroneurography. Med Eng Phys. 1999; 21(6-7): 379-88. doi: 10.1016/s1350-4533(99)00084-3.
  36. Rainoldi A, Galardi G, Maderna L, Comi G, Lo Conte L, Merletti R. Repeatability of surface EMG variables during voluntary isometric contractions of the biceps brachii muscle. J Electromyogr Kinesiol. 1999;9(2):105-19. doi: 10.1016/s1050-6411(98)00042-x.
  37. Farina D., Merletti R., Comparison of algorithms for estimation of EMG variables during voluntary isometric contractions, J. of Electromyography and Kinesiology, 2000; 10: 337-350
  38. Merletti R., Hermens H., Introduction to the special issue on the SENIAM European Concerted Action, J. of Electromyography and Kinesiology, 2000;10: 283-285,
  39. Merletti R., Surface Electromyography: the SENIAM Project, Europa Medicophys., 2000;36:167-169
  40. Rainoldi A., Nazzaro M., Merletti R., Farina D., Caruso I., Gaudenti S., Geometrical factors in surface EMG of the vastus medialis and lateralis, J. of Electromyography and Kinesiology, 2000;10: 327-336
  41. Farina D., Fortunato E., Merletti R., Non-invasive estimation of motor units conduction velocity distribution using linear electrode arrays, IEEE Trans. on Biomed. Eng., 2000; 47(3): 380-388 doi: 10.1109/10.827303
  42. Farina D., Merletti R., Effect of electrode shape on spectral features of surface detected motor unit action potentials, Acta Physiol. Pharmacol. Bulg., 2001;26:63-66
  43. Farina D., Muhammad W., Fortunato E., Meste O., Merletti R., Rix H., Estimation of single motor unit conduction velocity from myoelectric signals detected with linear electrode arrays, Medical & Biological Eng. & Comput., 2001;39: 225-236 doi: 10.1007/BF02344807.
  44. Farina D., Merletti R., Nazzaro M., Caruso I., Effect of joint angle on surface EMG variables for the muscles of the leg and thigh, IEEE Eng. Med. Biol. Magazine. 2001;20: 62-71 doi: 10.1109/51.982277.
  45. Merletti R., Farina D., Gazzoni M., Merlo A., Ossola P., Rainoldi A., Surface Electromyography: a window on the muscle, a glimpse on the central nervous system. Europa Medicophy. 2001;37:57-68
  46. Farina D., Cescon C. Merletti R, Concentric ring electrode systems for non-invasive detection of single motor unit activity, IEEE Trans. BME, 2001;48:1326-1334 doi: 10.1109/10.959328.
  47. Farina D., Merletti R., A novel approach for precise simulation of the EMG signal detected by surface electrodes, IEEE TransBME., 2001;48:637-646 doi: 10.1109/10.923782.
  48. Farina D., Colombo R., Merletti R., Baare-Olsen H., Evaluation of intramuscular EMG decomposition algorithms. J. of Electromyography and Kinesiology, 2001;11:175-187 doi: 10.1016/s1050-6411(00)00051-1
  49. Farina D., Crosetti A., Merletti R., A mathematical model for the generation of synthetic intramuscular EMG signals to test decomposition algorithms, IEEE Trans. BME., 2001;48: 66-77 doi: 10.1109/10.900250.
  50. Merletti R., Rainoldi A., Farina D., Surface EMG for non invasive muscle characterization, Exercise and Sport Sciences Reviews, 2001;29: 20-25
  51. Gazzoni M., Farina D., Merletti R., Motor unit recruitment during constant low force and long duration muscle contractions investigated by surface electromyography, Acta Physiol. Pharmacol. Bulg., 2001; 26:67-71
  52. Farina D, Crosetti A, Merletti R. A model for the generation of synthetic intramuscular EMG signals to test decomposition algorithms. IEEE Trans BME, 2001;48(1):66-77, doi: 10.1109/10.900250.
  53. Madeleine P., Farina D., Merletti R., Arendt-Nielsen L., Upper trapezius muscle mechanomyographic and electromyographic activity in humans during low force fatiguing and non-fatiguing contractions, Eur. Journ. Appl. Physiol., 2002;87:327-336 oi: 10.1007/s00421-002-0655-8.
  54. Merletti R., Casale R., Orizio C., Marcandelli S., Merlo A., Ossola P., Pozzo M., Rainoldi A., Advances in neuromuscular electrical stimulation techniques. Optimization of countermeasures for microgravity induced muscular deterioration, Microgr. and Space Station Utilization, 2002;2: 235-237
  55. Farina D., Merletti R., Indino B., Nazzaro M., Pozzo M., Surface EMG crosstalk between knee extensor muscles: experimental and model results, Muscle Nerve, 2002; 26: 681-695 doi: 10.1002/mus.10256
  56. Farina D., Fosci M., Merletti R., Motor unit recruitment strategies investigated by surface EMG variables. An experimental and model based feasibility study, Journ. Appl. Physiol., 2002;92:235-247 doi: 10.1152/jappl.2002.92.1.235
  57. Falla D., Dall’Alba P, Rainoldi A., Merletti R., Jull G., Location of innervation zones of sternocleidomastoid and scalene muscles - a basis for clinical and research electromyography applications, Clinical Neurophysiology, 2002;113: 57-63 doi: 10.1016/s1388-2457(01)00708-8.
  58. Farina D, Cescon C, Merletti R., Influence of anatomical, physical, and detection-system parameters on surface EMG. Biol Cybern., 2002;86(6):445-56 doi:10.1007/s00422-002-0309-2
  59. Farina D., Madeleine P., Graven-Nielsen T., Merletti R., Arendt-Nielsen L., Standardising surface electromyogram recordings for assessment of activity and fatigue in the human upper trapezius muscle, Eur. Journ. Appl. Physiol., 2002; 86: 469-478, doi: 10.1007/s00421-001-0574-0
  60. Merletti R., Farina D., Gazzoni M, Schieroni M.P., Effect of age on muscle functions investigated with surface electromyography, Muscle and Nerve, 2002;25: 65-76, doi:10.1002/mus.10014
  61. Falla D., Dall’Alba P, Rainoldi A., Merletti R., Jull G., Repeatability of surface EMG variables in the sternocleidomastoid and anterior scalene muscles, Eur J Appl Phys, 2002;87:542-549 doi: 10.1007/s00421-002-0661-x.
  62. Farina D., Arendt-Nielsen L., Merletti R., Graven-Nielsen T., Assessment of single motor unit conduction velocity during sustained contractions of the tibialis anterior muscle with advanced spike triggered averaging, Journ. Neurosci. Meth., 2002;115: 1-12 doi: 10.1016/S0165-0270(02)00008-6
  63. Clancy E.A., Morin E.L., Merletti R., Sampling, noise-reduction and amplitude estimation issues in surface electromyography, J. of Electromyography and Kinesiology, 2002;12:1-16 doi: 10.1016/S1050-6411(01)00033-5
  64. Falla D., Rainoldi A., Merletti R., Jull G. Myoelectric manifestations of sternocleidomastoid and anterior scalene muscle fatigue in chronic neck pain patients. Clinical Neurophysiology, 2003;114: 488-495 doi: 10.1016/S1388-2457(02)00377-X
  65. Falla D, Jull G, Dall’Alba P, Rainoldi A, Merletti R. An electromyographic analysis of the deep cervical flexor muscles in performance of craniocervical flexion. Phys. Ther., 2003;83: 899-906 doi: 10.1093/ptj/83.10.899
  66. Farina D., Arendt-Nielsen L., Merletti R., Indino B., Graven-Nielsen T., Selectivity of spatial filters for surface EMG detection from the tibialis anterior muscle, IEEE Trans. BME, 2003;50:354-364 doi: 10.1109/TBME.2003.810682
  67. Farina D., Gazzoni M., Merletti R., Assessment of low back muscle fatigue by surface EMG signal analysis: methodological aspects, J. of Electromyography and Kinesiology, 2003;13:319-332 doi: 10.1016/S1050-6411(03)00042-X
  68. Farina D., Kallenberg L.., Merletti R., Hermens H., Effect of side dominance on myoelectric manifestations of muscle fatigue in the human upper trapezius muscle, Eur. Journ. Appl. Physiol., 2003;90: 480-488 doi: 10.1007/s00421-003-0916-1

  69. Farina D., Merletti R., A novel approach of estimating muscle fiber conduction velocity by spatial and temporal filtering of surface EMG signals, IEEE Trans. BME, 2003;50(12): 1340-1351 doi: 10.1109/TBME.2003.819854

  70. Farina D., Schulte E., Merletti R., Rau G., Disselhorst-Klug C., Single motor unit analysis from spatially filtered surface EMG signals – Part I: spatial selectivity, Med. Biol. Eng. Comput., 2003;41: 330-337 doi: 10.1007/BF02344889
  71. Schulte E., Farina D., Rau G., Merletti R., Disselhorst-Klug C., Single motor unit analysis from spatially filtered surface EMG signals – Part II: conduction velocity estimation, Med. Biol. Eng. Comput., 2003;41: 338-345 doi: 10.1007/BF02344890
  72. Merletti R., Farina D., Gazzoni M., The linear electrode array: a useful tool with many applications, J. of Electromyography and Kinesiology, 2003;13:37-47 doi: 10.1016/S1050-6411(02)00086-X
  73. Merlo A., Farina D., Merletti R., A fast and reliable technique for muscle activity detection from surface EMG signals, IEEE BME., 2003;50(3): 316-323 doi:10.1109/TBME.2002.807636
  74. Mandrile F., Farina D., Pozzo M., Merletti R., Stimulation artifact in surface EMG signal: effect of the stimulation waveform, detection system, and current amplitude using hybrid stimulation technique, IEEE Trans Neural Syst Rehabil Eng. 2003; 11(4): 407-15, doi: 10.1109/TNSRE.2003.819791
  75. Pozzo M., Farina D., Merletti R., Electromyography: detection, processing and applications. In “Handbook of biomedical technology and devices”, J.E. Moore (Ed), CRC Press, 2003;4.1-4.66, ISBN: 0-8493-1140-3
  76. Casale R., Farina D., Merletti R., Rainoldi A., Myoelectric manifestations of fatigue during a twelve day exposure to hypobaric hypoxia, Muscle Nerve, 2004;30: 618-625 doi: 10.1002/mus.20107
  77. Cescon C., Farina D., Gobbo M., Merletti R., Orizio C., Effect of accelerometer location on mechanomyogram variables during voluntary, constant force contractions in three human muscles, Med. Biol. Eng. Comput., 2004;42: 121-128 doi: 10.1007/BF02344889
  78. Enck P., Franz H., Azpiroz F., Fernandez Fraga X., Hinninghofen H., Kaske-Bretag K., Bottin A., Martina S., Merletti R., Innervation Zones of the External Anal Sphincter in Healthy Male and Female Subjects (Preliminary Results), Digestion, 2004;69:123-130 doi: 10.1159/000079091
  79. Falla D., Jull G., Rainoldi A., Merletti R., Neck flexor muscle fatigue is side specific in patients with unilateral neck pain, Eur. J. Pain, 2004;8(1):71-77 doi: 10.1016/S1090-3801(03)00075-2
  80. Falla D, Rainoldi A, Merletti R, Jull G. Spatio-temporal evaluation of neck muscle activation during postural perturbations in healthy subjects. J Electromyogr Kinesiol, 2004;14:463-474 doi: 10.1016/j.jelekin.2003.09.001
  81. Farina D., Arendt-Nielsen L., Merletti R., Graven-Nielsen T., The effect of experimental muscle pain on motor unit firing rate and conduction velocity, J. Neurophysiol., 200491: 1250-1259 doi: 10.1152/jn.00608.2003
  82. Farina D., Blanchietti A., Pozzo M., Merletti R., M-wave properties during progressive motor unit activation by transcutaneous stimulation, J. Appl. Physiol., 2004; 97(2):545-555 doi: 10.1152/japplphysiol.01185.2003
  83. Farina D., Févotte C., Doncarli C., Merletti R., Blind separation of linear instantaneous mixtures of non-stationary surface myoelectric signals, IEEE Trans. BME, 2004;51(9): 1555-1567 doi: 10.1109/TBME.2004.827088
  84. Farina D., Merletti R., Enoka R.M., The extraction of neural strategies from the surface EMG, J. Appl. Physiol., 2004; 96: 1486-1495 doi: 10.1152/japplphysiol.01079.2003
  85. Farina D., Merletti R., Estimation of average muscle fiber conduction velocity from two-dimensional surface EMG recordings, J. Neurosci. Meth., 2004;134: 199-208 doi: 10.1016/j.jneumeth.2003.11.009
  86. Farina D., Merletti R., Indino B., Graven-Nielsen T., Surface EMG crosstalk evaluated from experimental recordings and simulated signals. Reflections on crosstalk interpretation, quantification and reduction, Methods of Information in Medicine, 43: 30-35, 2004 doi: 10.1055/s-0038-1633761
  87. Farina D., Mesin L., Martina S., Merletti R., A surface EMG generation model with multi-layer cylindrical description of the volume conductor, IEEE Trans. Biomed. Eng., 51: 415-426, 2004 doi: 10.1109/TBME.2003.820409
  88. Farina D., Mesin L., Martina S., Merletti R., Comparison of spatial filter selectivity in surface myoelectric signal detection – Influence of the volume conductor model, Med. Biol. Eng. Comput., 2004;42: 114-120 doi: 10.1007/BF02351016
  89. Farina D., Pozzo M., Merlo E., Bottin A., Merletti R., Assessment of muscle fiber conduction velocity from surface EMG signals during fatiguing dynamic contractions, IEEE Trans. BME, 2004 ;51(8):1383-1393 doi: 10.1109/TBME.2004.831542
  90. Farina D., Zagari D., Gazzoni M., Merletti R., Repeatability of muscle fiber conduction velocity estimates using multi-channel surface EMG techniques, Muscle Nerve, 2004;29: 282-291 doi: 10.1002/mus.10541
  91. Gazzoni M., Farina D., Merletti R., A new method for the extraction and classification of single motor unit action potentials from surface EMG signals, J. Neurosci. Meth., 2004; 136: 165-177 doi: 10.1016/j.jneumeth.2004.02.020
  92. Merletti R., Benvenuti F., Doncarli C., Disselhorst-Klug C., Ferrabone R., Hermens J.H., Kadefors R., Laübli T., Orizio C., Sjøgaard G., Zazula D., The European Project “Neuromuscular assessment in the elderly worker” (NEW): achievements in electromyogram signal acquisition, modelling, and processing, Med. Biol. Eng. Comput., 2004;42: 429-431 doi: 10.1007/BF02351024
  93. Merletti R., Bottin A., Cescon C., Farina D., Gazzoni M., Martina S., Mesin L., Pozzo M., Rainoldi A., Enck P., Multi-channel surface EMG for the non-invasive assessment of the anal sphincter muscle, Digestion, 2004;69:112-122 doi: 10.1159/000079634
  94. Pozzo M., Bottin A., Ferrabone R., Merletti R., Sixty-four channel wearable acquisition system for long term surface EMG recording with electrode arrays, Med. Biol. Eng. Comput., 2004;42(4):455-466 doi: 10.1007/BF02351033
  95. Pozzo M., Merlo E., Farina D., Antonutto G., Merletti R., di Prampero P.E., Muscle fiber conduction velocity estimated from surface EMG signals during explosive dynamic contractions, Muscle Nerve, 2004;29: 823-833 doi: 10.1002/mus.20100
  96. Merletti R, Benvenuti F, Doncarli C, Disselhorst-Klug C, Ferrabone R, Hermens HJ, Kadefors R, Läubli T, Orizio C, Sjøgaard G, Zazula D. ,The European project ‘Neuromuscular assessment in the elderly worker’ (NEW): achievements in electromyogram signal acquisition, modelling and processing, Med Biol Eng Comput. 2004;42(4):429-431, doi: 10.1007/BF02350983
  97. Clancy EA, Farina D, Merletti R., Cross-comparison of time- and frequency-domain methods for monitoring the myoelectric signal during a cyclic, force-varying, fatiguing hand-grip task, J Electromyogr Kinesiol. 2005;15(3):256-65 doi: 10.1016/j.jelekin.2004.10.008
  98. Castroflorio T, Farina D, Bottin A, Piancino MG, Bracco P, Merletti R., Surface EMG of jaw elevator muscles: effect of electrode location and inter-electrode distance, J Oral Rehabil. 2005; 32(6):411-417 doi: 10.1111/j.1365-2842.2005.01495.x
  99. Azpiroz F, Fernandez-Fraga X, Merletti R, Enck P., The puborectalis muscle, Neurogastroenterol Motil. 2005; 17 Suppl 1:68-72. doi: 10.1111/j.1365-2982.2005.00680.x
  100. Enck P, Hinninghofen H, Merletti R, Azpiroz F., The external anal sphincter and the role of surface electromyography, Neurogastroenterol Motil. 2005; 17 Suppl 1:60-67. doi: 10.1111/j.1365-2982.2005.00679.x
  101. Merlo E, Pozzo M, Antonutto G, di Prampero PE, Merletti R, Farina D., Time-frequency analysis and estimation of muscle fiber conduction velocity from surface EMG signals during explosive dynamic contractions, J Neurosci Methods. 2005; 30:142(2):267-74. doi: 10.1016/j.jneumeth.2004.08.015
  102. Lanzetta M, Pozzo M, Bottin A, Merletti R, Farina D., Reinnervation of motor units in intrinsic muscles of a transplanted hand, Neurosci Lett. 2005;10;373(2):138-143. doi: 10.1016/j.neulet.2004.10.008
  103. Keenan KG, Farina D, Maluf KS, Merletti R, Enoka RM., Influence of amplitude cancellation on the simulated surface electromyogram, J Appl Physiol. 2005;98(1):120-31. doi: 10.1152/japplphysiol.00426.2004
  104. Cescon C, Sguazzi E, Merletti R, Farina D. Non-invasive characterization of single motor unit EMG and MMG activities in the biceps brachii muscle. J. Electromyogr. Kinesiol. 2006; 16:17-24. doi: 10.1016/j.jelekin.2004.12.003
  105. Farina D, Zennaro D, Pozzo M, Merletti R, Laubli T. Single motor unit and spectral surface EMG analysis during low-force, sustained contractions of the upper trapezius muscle. Eur. J. Appl. Physiol. 2006; 96:157-64 doi: 10.1007/s00421-005-0062-y
  106. Franz H, Hinninghofen H, Kowalski A, Merletti R, Enck P. Mode of delivery affects anal sphincter innervation. Gastroenterology, 2006;130(Suppl 2):S724 doi: 10.1016/S0016-5085(06)63185-1
  107. Keenan KG, Farina D, Merletti R, Enoka RM. Influence of motor unit properties on the size of the simulated evoked surface EMG potential. Exp. Brain Res.2006;169:37-49 DOI: 10.1007/s00221-005-0323-7
  108. Keenan KG, Farina D, Merletti R, Enoka RM. Amplitude cancellation reduces the size of motor unit potentials averaged from the surface EMG. J. Appl. Physiol.2006; 100:1928-1937 doi: 10.1152/japplphysiol.01184.2005
  109. Mesin L, Joubert M, Hanekom T, Merletti R, Farina D. A finite element model for decribing the effect of muscle shortening on surface EMG, IEEE Trans. Biomed. Eng. 2006; 53:593-600 doi: 10.1109/TBME.2005.869742
  110. Campanini, Merlo A, Degola P, Merletti R, Vezzosi G, Farina D. Effect of electrode location on EMG signal envelope in leg muscles during gait. J. Electrom. Kinesiol. 2007; 17:515-526 doi: 10.1016/j.jelekin.2006.05.005
  111. Carotti E, De Martin JC, Merletti R, Farina D. Compression of surface EMG signals with algebraic code excited linear prediction. Med. Eng. Phys. 2007; 29:253-258 doi: 10.1016/j.medengphy.2006.05.003
  112. Cescon C, Madeleine P, Graven-Nielsen T, Merletti R, Farina D. Two-dimensional spatial distribution of surface mechanomyographical response to single motor unit activity. J. Neurosci. Methods 2007; 159:19-25 doi: 10.1016/j.jneumeth.2006.07.009
  113. Keenan KG, Farina D, Meyer FG, Merletti R, Enoka RM. Sensitivity of the cross-correlation between simulated surface EMGs for two muscles to detect motor unit synchronization. J Appl. Physiol. 2007; 102:1193-1201 doi: 10.1152/japplphysiol.00569.2006
  114. Bonfiglioli R, Botter A, Draicchio F, Calabrese M, Mussoni P, Curti S, Mattioli S, Merletti R, Violante FS., Usefulness of surface electromyography of hand muscles in the assessment of myoelectric parameters changes due to repetitive manual tasks. Giorn Ital Med Lav Ergon. 2007;29 (3 Suppl):575-578. In Italian.
  115. Botter A, Merletti R, Minetto MA. Pulse charge and not waveform affects M-wave properties during progressive motor unit activation. J. Electromyogr. Kinesiol. 2008;19(4):564-573. doi: 10.1016/j.jelekin.2008.03.009 doi: 10.1016/j.jelekin.2008.03.009
  116. Cescon C, Bottin A, Fernandez Fraga XL, Azpiroz F, Merletti R. Detection of individual motor units of the puborectalis muscle by non-invasive EMG electrode arrays. J. Electromyogr. Kinesiol. 2008; 18:382-389 doi: 10.1016/j.jelekin.2006.11.007
  117. Cescon C, Rebecchi P, Merletti R. Effect of electrode array position and subcutaneous tissue thickness on conduction velocity estimation in upper trapezius muscle. J. Electromyogr. Kinesiol. 2008;18:628-636 doi: 10.1016/j.jelekin.2007.01.005
  118. Clancy EA, Bertolina MV, Merletti R, Farina D. Time- and frequency-domain monitoring of the myoelectric signal during a long-duration, cyclic, force-varying, fatiguing hand-grip task. J. Electromyogr. Kinesiol. 2008; 18:789-797 doi: 10.1016/j.jelekin.2007.02.007
  119. Merletti R. Motor units in cranial and caudal regions of the upper trapezius muscle have different discharge rates during brief static contractions. Acta Physiol (Oxf). 2008;192(4):453. doi: 10.1111/j.1748-1716.2007.01823_2.x.
  120. Mesin L, Merletti R. Distribution of electrical stimulation current in a planar multilayer anisotropic tissue. IEEE Trans. BME. 2008; 55:660-670 doi: 10.1109/TBME.2007.902248
  121. Mesin L, Merletti R, Rainoldi A. Surface EMG: The issue of electrode location. J. Electromyogr. Kinesiol. 2009;19:719-726 doi: 10.1016/j.jelekin.2008.07.006
  122. Minetto MA, Botter A, Ravenni R, Merletti R, De Grandis D. Reliability of a novel neurostimulation method to study involuntary muscle phenomena. Muscle Nerve 2008; 37:90-100 doi: 10.1002/mus.20903.

  123. Rainoldi A, Gazzoni M, Merletti R, Minetto MA. Mechanical, electromyographical and biochemical variables after a fatiguing task in endurance and power-trained athletes. J. Sports Sci. 2008; 26:321-331

  124. Troiano A, Naddeo F, Sosso E, Camarota G, Merletti R, Mesin L. Assessment of force and fatigue in isometric contractions of the upper trapezius muscle by surface EMG signal and perceived exertion scale. Gait Posture 2008; 28:179-186 doi: 10.1016/j.gaitpost.2008.04.002
  125. Merletti R, Holobar A, Farina D. Analysis of motor units with high-density surface electromyography. J. Electromyogr. Kinesiol. 2008; 18: 879-890 doi: 10.1016/j.jelekin.2008.09.002.
  126. Merletti R. Spectral variables do not necessarily reflect histological types of recruited motor units. J. Appl Physiol (1985), 2008;105(5):1679-80. doi: 10.1152/japplphysiol.zdg-8232-pcpcomm
  127. Farina D, Holobar A, Gazzoni M, Zazula D, Merletti R, Enoka RM. Adjustments differ among low-threshold motor units during intermittent, isometric contractions. J. Neurophysiol. 2009;101:350-359 doi: 10.1152/jn.90968.2008
  128. Holobar A, Gazzoni M, Farina D, Merletti R, Zazula D. Estimating motor unit discharge pattern from the surface electromyogram. Clin. Neurophysiol. 2009;120:551-562. doi: 10.1016/j.clinph.2008.10.160.
  129. Merletti R, Botter A, Troiano A, Merlo E, Minetto MA. Technology and instrumentation for detection and conditioning of the surface electromyographic signal: state of the art. Clin Biomech, 2009;24:122-134
  130. Merletti R, Farina D. Analysis of intramuscular electromyogram signals. Philosoph Trans. of the Royal Soc. . Philos. Transact. A: Math. Phys. Eng. Sci. 2009;367:357-368. doi: 10.1016/j.clinbiomech.2008.08.006.
  131. Minetto MA, Botter A, De Grandis D, Merletti R. Time and frequency domain analysis of surface myoelectric signals during electrically-elicited cramps. Neurophysiol. Clin., 2009; 39:15-25, doi: 10.1016/j.neucli.2008.11.002
  132. Alexe-Ionescu A, Barbero G., Merletti R., Electrode potential and selective ionic absorption, Physics Letters 2009; 37: 1791-1795
  133. Mesin L, Cescon C, Gazzoni M, Merletti R, Rainoldi A. A bi-dimensional index for the selective assessment of myoelectric manifestations of peripheral and central muscle fatigue. J. Electromyogr. Kinesiol. 2009;19:851-863 doi: 10.1016/j.jelekin.2008.08.003
  134. Botter A, Lanfranco F, Merletti R, Minetto MA. Myoelectric fatigue profiles of three knee extensor muscles. Int. J. Sports Med. 2009;30:408-417. doi: 10.1055/s-0028-1112142
  135. Botter A, Merletti R, Minetto MA. Pulse charge and not waveform affects M-wave properties during progressive motor unit activation. J. Electromyogr. Kinesiol. 2009;19:564-573. doi: 10.1016/j.jelekin.2008.03.009.
  136. Mesin L., Gazzoni M., Merletti R., Automatic localization of innervation zones: a simulation study of the external anal sphincter, J. Electromyogr. Kinesiol. 2009;19(6):413-421. doi: 10.1016/j.jelekin.2009.02.002.
  137. Vieira T., Windhorst U., Merletti R., Is the stabilization of quiet upright stance in humans driven by synchronized and similar modulations of the activity of medial and lateral gastrocnemius muscles? .J. Appl. Physiol. 2010; 108: 85-97. doi: 10.1152/japplphysiol.00070.2009.
  138. Enck P, Franz H, Davico E, Mastrangelo F, Mesin L, Merletti R., Repeatability of Innervation Zone Identification in the External Anal Sphincter Muscle, Neurourology and Urodynamics, 2010; 29: 449-457. doi: 10.1002/nau.20749
  139. Mesin L., Merlo E., Merletti R., Orizio C., Investigation of motor unit recruitment during stimulated contractions of tibialis anterior muscle, J. Electromyogr. Kinesiol. 2010;20:580-589 doi: 10.1016/j.jelekin.2009.11.008.
  140. Vieira TMM, Merletti R, Mesin L. Automatic segmentation of surface EMG images: Improving the estimation of neuromuscular activity. J. Biomech. 2010;43:2149-2158. doi: 10.1016/j.jbiomech.2010.03.049
  141. Farina D., Holobar A., Merletti R., Enoka R., Decoding the neural drive to muscles from the surface electromyogram, Clinical neurophysiology, 2010;121(10):1616-23. doi: 10.1016/j.clinph.2009.10.040
  142. Merletti R. The electrode-skin interface and optimal detection of bioelectric signals. Physiol. Meas. 2010;31:3 p preceding S157, doi:10.1088/0967-3334/31/10/e01
  143. Merletti R, Aventaggiato M, Botter A, Holobar A, Marateb HR, Vieira TMM. Advances in surface EMG: recent progress in detection and processing techniques. Crit. Rev. Biomed. Eng. 2010;38:305-345 doi: 10.1615/critrevbiomedeng.v38.i4.10.
  144. Merletti R, Botter A, Cescon C, Minetto MA, Vieira TMM. Advances in surface EMG: recent progress in clinical research applications. Crit. Rev. Biomed. Eng. 2010;38:347-379. doi: 10.1615/critrevbiomedeng.v38.i4.20.
  145. Barbero M, Gatti R, Lo Conte L, Macmillan F, Coutts F, Merletti R. Reliability of surface EMG matrix in locating the innervation zone of upper trapezius muscle. J. Electromyogr. Kinesiol. 2011;21:827-833. doi: 10.1016/j.jelekin.2011.05.013.
  146. Cescon C, Mesin L, Nowakowski M, Merletti R. Geometry assessment of anal sphincter muscle based on monopolar multichannel surface EMG signals. J. Electromyogr. Kinesiol. 2011;21:394-401. doi: 10.1016/j.jelekin.2010.11.003
  147. Gallina A, Merletti R, Vieira TMM. Are the myoelectric manifestations of fatigue distributed regionally in the human medial gastrocnemius muscle? J. Electromyogr. Kinesiol. 2011;21:929-938. doi: 10.1016/j.jelekin.2011.08.006
  148. Marateb HR, McGill KC, Holobar A, Lateva ZC, Mansourian M, Merletti R. Accuracy assessment of CKC high-density surface EMG decomposition in biceps femoris muscle. J. Neural Eng. 2011;8:066002. doi: 10.1088/1741-2560/8/6/066002
  149. Marateb HR, Muceli S, McGill KC, Merletti R, Farina D. Robust decomposition of single-channel intramuscular EMG signals at low force levels. J. Neural Eng. 2011;8:066015. doi: 10.1088/1741-2560/8/6/066002.
  150. Merletti R, Botter A, Lanfranco F, Minetto MA. Spinal involvement and muscle cramps in electrically elicited muscle contractions. Artif. Organs. 2011;35:221-225. doi: 10.1111/j.1525-1594.2011.01220.x.
  151. Mesin L, Merletti R, Vieira TMM. Insights gained into the interpretation of surface electromyograms from the gastrocnemius muscles: A simulation study. J. Biomech. 2011;44:1096-1103. Doi: 10.1016/j.jbiomech.2011.01.031
  152. Vieira TMM, Loram ID, Muceli S, Merletti R, Farina D. Postural activation of the human medial gastrocnemius muscle: are the muscle units spatially localised? J. Physiol. 2011;589:431-443. doi: 10.1113/jphysiol.2010.201806.
  153. Piitulainen H, Botter A, Merletti R, Avela J. Muscle fiber conduction velocity is more affected after eccentric than concentric exercise. Eur. J. Appl. Physiol. 2011;111:261-273. doi: 10.1007/s00421-010-1652-y.
  154. Vieira TMM, Loram ID, Muceli S, Merletti R, Farina D. Recruitment of motor units in the medial gastrocnemius muscle during human quiet standing: is recruitment intermittent? What triggers recruitment? J. Neurophysiol. 2012;107:666-676. doi: 10.1152/jn.00659.2011.
  155. Marateb HR, Rojas-Martínez M, Mansourian M, Merletti R, Villanueva MA. Outlier detection in high-density surface electromyographic signals. Med. Biol. Eng. Comput. 2012;50:79-89. doi: 10.1007/s11517-011-0790-7
  156. Watanabe K, Kouzaki M, Merletti R, Fujibayashi M, Moritani T. Spatial EMG potential distribution pattern of vastus lateralis muscle during isometric knee extension in young and elderly men. J. Electromyogr. Kinesiol. 2012;22:74-79. doi: 10.1016/j.jelekin.2011.09.010
  157. Bonfiglioli R, Botter A, Calabrese M, Mussoni P, Violante FS, Merletti R. Surface electromyography features in manual workers affected by carpal tunnel syndrome. Muscle Nerve. 2012;45:873-882.
  158. Barone U, Merletti R. Design of a portable, intrinsically safe multichannel acquisition system for high-resolution, real-time processing HD-sEMG. IEEE Trans Biomed Eng. 2013;60:2242-2252. doi: 10.1109/TBME.2013.2252346.
  159. Baudry S, Lanfranco F, Merletti R, Duchateau J, Minetto MA. Effects of Short-Term Dexamethasone Administration on Corticospinal Excitability. Med Sci Sports Exerc. 2014; 46(4): 695-701.
    doi: 10.1249/MSS.0000000000000162.
  160. Botter A, Vieira TM, Loram ID, Merletti R, Hodson-Tole EF. A novel system of electrodes transparent to ultrasound for simultaneous detection of myoelectric activity and B-mode ultrasound images of skeletal muscles. J Appl Physiol. 2013;115:1203-1214. doi: 10.1152/japplphysiol.00090.2013.
  161. Gallina A, Merletti R, Gazzoni M. Uneven spatial distribution of surface EMG: what does it mean? Eur J Appl Physiol. 2013;113:887-894. doi: 10.1007/s00421-012-2498-2.
  162. Gallina A, Ritzel CH, Merletti R, Vieira TM. Do surface electromyograms provide physiological estimates of conduction velocity from the medial gastrocnemius muscle? J Electromyogr Kinesiol. 2013;23:319-25. doi: 10.1016/j.jelekin.2012.11.007.
  163. Piitulainen H, Botter A, Merletti R, Avela J. Multi-channel electromyography during maximal isometric and dynamic contractions. J Electromyogr Kinesiol. 2013;23:302-310. doi: 10.1016/j.jelekin.2012.10.009.
  164. Rojas-Martínez M, Mañanas MA, Alonso JF, Merletti R. Identification of isometric contractions based on High Density EMG maps. J Electromyogr Kinesiol. 2013 ;23:33-42. doi: 10.1016/j.jelekin.2012.06.009
  165. Watanabe K, Gazzoni M, Holobar A, Miyamoto T, Fukuda K, Merletti R, Moritani T. Motor unit firing pattern of vastus lateralis muscle in type 2 diabetes mellitus patients. Muscle Nerve. 2013;48:806-813. doi: 10.1002/mus.23828.
  166. Gallina A, Merletti R, Gazzoni M. Innervation zone of the vastus medialis muscle: position and effect on surface EMG variables. Physiol Meas. 2013 Nov;34(11):1411-1422. doi: 10.1088/0967-3334/34/11/1411
  167. Cescon C, Raimondi EE, Zacesta V, Drusany-Staric K, Martsidis K, Merletti R. Characterization of the motor units of the external anal sphincter in pregnant women with multichannel surface EMG. Int Urogynecol J. 2014;25(8):1097-1103 oi: 10.1007/s00192-014-2356-3.
  168. Cescon C, Riva D, Zacesta V, Drusany-Staric K, Martsidis K, Protsepko O, Baessler K, Merletti R. Effect of vaginal delivery on the external anal sphincter muscle innervation pattern evaluated by multichannel surface EMG: results of the multicentre study TASl-2. lnt Urogynecol J. 2014;25(11):1491-1499 doi: 10.1007/s00192-014-2375-0.
  169. Farina D, Merletti R, Enoka RM. The extraction of neural strategies from the surface EMG: an update. J Appl Physiol (1985). 2014;117(11):1215-1230 doi: 10.1152/japplphysiol.00162.2014
  170. Piervirgili G, Petracca F, Merletti R. A new method to assess skin treatments for lowering the impedance and noise of individual gelled Ag-AgCl electrodes. Physiol. Meas. 2014;35:2101-2118 doi: 10.1088/0967-3334/35/10/2101
  171. Ullah K, Cescon C, Afsharipour B, Merletti R. Automatic detection of motor unit innervation zones of the external anal sphincter by multichannel surface EMG. J Electromyogr Kinesiol. 2014;6:860-867. doi: 10.1016/j.jelekin.2014.05.003
  172. Itiki C, Furuie SS, Merletti R. Compression of high-density EMG signals for trapezius and gastrocnemius muscles. Biomed Eng Online. 2014;13(1):25. doi: 10.1186/1475-925X-13-25
  173. Li X, Holobar A, Gazzoni M, Merletti R, Rymer W, Zhou P. Examination of Post-stroke Alteration in Motor Unit Firing Behavior Using High Density Surface EMG Decomposition. IEEE BME, 2015; 62(5):1242-52 doi: 10.1109/TBME.
  174. Di Vella G., Riva D., Merletti R. Incontinenza dello sfintere anale esterno da episiotomia e prevenzione del danno iatrogeno, Riv. Italiana di Medicina Legale, 2015;(2):473-489 (in Italian)
  175. Afsharipour B., Ullah K., Merletti R., Amplitude indicators and spatial aliasing in high density surface electromyography recordings, Biomed. Signal Proc. and Control, 2015; 22:170-179
  176. Afsharipour B, Petracca F, Gasparini M, Merletti R. Spatial distribution of surface EMG on trapezius and lumbar muscles of violin and cello players in single note playing. J Electromyogr Kinesiol. 2016; 31:144-153 doi: 10.1016/j.jelekin.2016.10.003.
  177. Cattarello P., Merletti R. , Petracca F., Analysis of High Density Surface EMG and finger pressure in the left forearm of violin players. Medical Problems of Performing Artists, 2017;32(3):139-151. doi: 10.21091/mppa.2017.3023
  178. Cattarello P., Vinelli S., D’Emanuele S., Gazzoni M., Merletti R., Comparison of chairs based on HDsEMG of back muscles, biomechanical and comfort indices, for violin and viola players: A short term study. J Electromyogr Kinesiol. 2018; 42: 92-103. doi: 10.1016/j.jelekin.2018.06.013
  179. Afsharipour B., Soedirdjo S., R. Merletti, Two-dimensional surface EMG: The effects of electrode size,interelectrode distance and image truncation. Biomedical Signal Processing and Control, 2019; 49: 298–307
  180. Besomi M., Hodges P., Van Dieën J., G Carson R.G., Clancy E., Disselhorst-Klug C., Holobar A., Hug F., Kiernan M., Lowery M, McGill K., Merletti R., Perreault E., Søgaard K., Tucker K., Besier T., Enoka R., Falla D., Farina D., Gandevia S., Rothwell J., Vicenzino B. , Wrigley T. Consensus for experimental design in electromyography (CEDE) project: electrode selection matrix. J. of Electromyography and Kinesiology, 2019; 48: 128–144, doi.org/10.1016/j.jelekin.2019.07.008
  181. Merletti R., Muceli S., Tutorial. Surface EMG detection in space and time: best practices. J. of Electromyography and Kinesiology, 2019; 49: 102363 doi.org/10.1016/j.jelekin.2019.102363
  182. Russo A., Aranceta-Garza A., D’Emanuele S., Serafino F., Merletti R., HDsEMG activity of the lumbar erector spinae in violin players: comparison of two chairs. Medical Probl. of Perform. Artists, 2019; 34(4): 205-214, doi: 10.21091/mppa.2019.4034
  183. Besomi M., Hodges P., Clancy E., Van Dieën J., Hug F., Lowery M., Merletti R., Søgaard K., Wrigley T., Besier T., Carson R., Disselhorst-Klug C., Enoka R., Falla D., Farina D., Gandevia S., Holobar A., Kiernan M., McGill K., Perreault E., Rothwell J. Tucker K., Consensus for experimental design in electromyography (CEDE) project: Amplitude normalization matrix. J. Electromyogr. Kinesiol. 2020;53:102438. doi: 10.1016/j.jelekin.2020.102438.
  184. Rojas-Martínez M, Serna LY, Jordanic M, Marateb HR, Merletti R, Mañanas MÁ. High-density surface electromyography signals during isometric contractions of elbow muscles of healthy humans. Sci Data. 2020 Nov 16;7(1):397, doi: 10.1038/s41597-020-00717-6.
  185. Merletti R., Cerone G.L., Tutorial. Surface EMG detection, conditioning and pre-processing: best practices, Journ. of Electromyogr. and Kinesiol., 2020; 54 102440, doi:10.1016/j.jelekin.2020.102440
  186. Campanini I., Disselhorst-Klug C., Rymer W.Z., Merletti R., Neurorehabilitation: Barriers Limiting Its Use., Frontiers in Neurology/Neurorehab. 2020; doi.org/10.3389/fneur.2020.00934
  187. McManus L., Lowery M., Merletti R. , Søgaard K, Besomi M, Clancy EA, van Dieën JH, Hug F, Wrigley T, Besier T, Carson RG, Disselhorst-Klug C, Enoka RM, Falla D, Farina D, Gandevia S, Holobar A, Kiernan MC, McGill K, Perreault E, Rothwell JC, Tucker K, Hodges P., Consensus for experimental design in electromyography (CEDE) project: Terminology matrix. J. Electromyogr Kinesiol. 2021; 59, 102565, doi:10.1016/j.jelekin.2021.102565.
  188. Korrami Chokami A., Gasparini M. Merletti R., Identification of periodic bursts in surface EMG: applicationsto the erector spinae muscles of sitting violin players. Biomed. Signal Process. and Control, 2021; 65, 102369, doi.org/10.1016/j.bspc.2020.102369.
  189. Aranceta-Garza A., Russo A., D’Emanuele S.,Serafino F., Merletti R., High density surface electromyographic activity of the lumbar erector spinae muscles and confort/discomfort assessment in piano players: comparison of two chairs. Frontiers in Physiology, 2021;12:743730, doi: 10.3389/fphys.2021.743730
  190. Merletti R., Campanini I., Rymer W.Z., Disselhorst-Klug C., Editorial: Surface Electromyography: Barriers Limiting Widespread Use of sEMG in Clinical Assessment and Neurorehabilitation, Front. Neurolology/Neurorehab. 2021, https://doi.org/10.3389/fneur.2021.642257
  191. Merlo A., Montecchi M.G., Lombardi,F., Vata, X., Musi A., Lusuardi M., Merletti,R., Campanini I. Monitoring involuntary muscle activity in acute patients with upper motor neuron lesion by wearable sensors. A feasibility study. Sensors, 2021; 9: 3120, doi: 10.3390/s21093120.
  192. Gallina A, Disselhorst-Klug C, Farina D, Merletti R, Besomi M, Holobar A, Enoka RM, Hug F, Falla D, Søgaard K, McGill K, Clancy EA, Carson RG, van Dieën JH, Gandevia S, Lowery M, Besier T, Kiernan MC, Rothwell JC, Tucker K, Hodges P., Consensus for experimental design in electromyography (CEDE) project: High-density surface electromyography matrix. J. Electromyogr. Kinesiol. 2022; 64:102656. doi: 10.1016/j.jelekin.2022.102656.
  193. Barbero G., Evangelista L. R., Merletti R. Half-cell and noise voltages at a metal-electrode and dilute solution interface, Journ. Statistical Mechanics:Theory and Experiment, 2022; doi.org/10.1088/1742-5468/ac827e
  194. Campanini I., Merlo A., Disselhorst-Klug C., Mesin L., Muceli S., Merletti R., Fundamental Concepts of Bipolar and High-Density Surface EMG Understanding and Teaching for Clinical, Occupational, and Sport Applications: Origin, Detection, and Main Errors. Sensors 2022; 22: 4150. doi.org/10.3390/s22114150
  195. Merletti R. ,Temporiti F., Gatti R., Gupta S., Sandrini G., Serrao M., Translation of surface electromyography (sEMG) to clinical and motor rehabilitation applications: the need for new clinical figures. Translational Neuroscience, 2023;14(1):20220279, doi.org/10.1515/tnsci-2022-0279
  196. Martinez-Valdes E, Enoka RM, Holobar A, McGill K, Farina D, Besomi M, Hug F, Falla D, Carson RG, Clancy EA, Disselhorst-Klug C, van Dieën JH, Tucker K, Gandevia S, Lowery M, Søgaard K, Besier T, Merletti R, Kiernan MC, Rothwell JC, Perreault E, Hodges P., Consensus for experimental design in electromyography (CEDE) project: Single motor unit matrix. J. Electromyogr. Kinesiol., 2023; 68:102726. doi:10.1016/j.jelekin.2022.102726.
  197. Clancy E., Morin E., Hajian G., Merletti R., Tutorial. Surface electromyogram (sEMG) amplitude estimation: Best practices. J. Electromyogr Kinesiol., 2023;72:102807. doi: 10.1016/j.jelekin.2023.102807.
  198. Merletti R., Metrology in sEMG and movement analysis: the need for training new figures in clinical rehabilitation. Front. Rehabil. Sci. 2024, 5:1353374. doi: 10.3389/fresc.2024.1353374
  199. Khorrami Chokami A., Merletti R., Right-Left sEMG Burst Synchronization of the Lumbar Erector Spinae Muscles of Seated Violin Players. Sci. Rep. 2024;14(1):22992. doi: 10.1038/s41598-024-69531-z.
  200. Muceli S., Merletti R., Tutorial. Frequency analysis of the surface EMG signal: Best practices. J. Electromyogr Kinesiol. 2024. In press.
  201. Farina D., Merletti R., Enoka R., The extraction of neural strategies from the surface EMG: 2024. J. of Appl. Physiol. In Press.