Library Subscription: Guest
Critical Reviews™ in Biomedical Engineering

Published 6 issues per year

ISSN Print: 0278-940X

ISSN Online: 1943-619X

SJR: 0.262 SNIP: 0.372 CiteScore™:: 2.2 H-Index: 56

Indexed in

Advances in Surface EMG: Recent Progress in Detection and Processing Techniques

Volume 38, Issue 4, 2010, pp. 305-345
DOI: 10.1615/CritRevBiomedEng.v38.i4.10
Get accessGet access

ABSTRACT

This article is the first section of a review work structured in three parts and concerning a) advances in surface EMG detection and processing techniques, b) recent progress in surface EMG clinical research applications and, c) myoelectric control in neurorehabilitation. This article deals with the state of the art regarding a) the electrode–skin interface (equivalent circuits, skin treatment, conductive gels), b) signal detection modalities, spatial filters and front-end amplifiers, c) power line interference removal, separation of propagating and non-propagating potentials and removal of outliers from surface EMG signal maps, d) segmentation of surface EMG signal maps, e) decomposition of surface EMG into the constituent action potential trains, and f) relationship between surface EMG and force. The material is presented with an effort to fill gaps left by previous reviews and identify areas open for future research.

CITED BY
  1. Piitulainen Harri, Botter Alberto, Merletti Roberto, Avela Janne, Multi-channel electromyography during maximal isometric and dynamic contractions, Journal of Electromyography and Kinesiology, 23, 2, 2013. Crossref

  2. Rojas-Martínez M., Mañanas M.A., Alonso J.F., Merletti R., Identification of isometric contractions based on High Density EMG maps, Journal of Electromyography and Kinesiology, 23, 1, 2013. Crossref

  3. Bisi Maria Cristina, Ceccarelli Mattia, Riva Federico, Stagni Rita, Biomechanical and metabolic responses to seat-tube angle variation during cycling in tri-athletes, Journal of Electromyography and Kinesiology, 22, 6, 2012. Crossref

  4. Wang Shou-Jen, Jaw Fu-Shan, Young Yi-Ho, Optimizing the bandpass filter for acoustic stimuli in recording ocular vestibular-evoked myogenic potentials, Neuroscience Letters, 542, 2013. Crossref

  5. Dick F. Stegeman, Bert U. Kleine, Bernd G. Lapatki, Johannes P. Van Dijk, High-density Surface EMG: Techniques and Applications at a Motor Unit Level, Biocybernetics and Biomedical Engineering, 32, 3, 2012. Crossref

  6. Mesin Luca, Merletti Roberto, Vieira Taian M.M., Insights gained into the interpretation of surface electromyograms from the gastrocnemius muscles: A simulation study, Journal of Biomechanics, 44, 6, 2011. Crossref

  7. Rojas-Martínez Monica, Mañanas Miguel A, Alonso Joan F, High-density surface EMG maps from upper-arm and forearm muscles, Journal of NeuroEngineering and Rehabilitation, 9, 1, 2012. Crossref

  8. 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, Physiological Measurement, 35, 10, 2014. Crossref

  9. Botter Alberto, Gazzoni Marco, Merletti Roberto, Surface Electromyogram Detection, in Introduction to Neural Engineering for Motor Rehabilitation, 2013. Crossref

  10. Ravindra Vikram, Castellini Claudio, A Comparative Analysis of Three Non-Invasive Human-Machine Interfaces for the Disabled, Frontiers in Neurorobotics, 8, 2014. Crossref

  11. Holobar A, Farina D, Blind source identification from the multichannel surface electromyogram, Physiological Measurement, 35, 7, 2014. Crossref

  12. Holobar A, Minetto M A, Farina D, Accurate identification of motor unit discharge patterns from high-density surface EMG and validation with a novel signal-based performance metric, Journal of Neural Engineering, 11, 1, 2014. Crossref

  13. Mesin Luca, Real time estimation of generation, extinction and flow of muscle fibre action potentials in high density surface EMG, Computers in Biology and Medicine, 57, 2015. Crossref

  14. Mesin Luca, Real time identification of active regions in muscles from high density surface electromyogram, Computers in Biology and Medicine, 56, 2015. Crossref

  15. Rehbaum Hubertus, Farina Dario, Adaptive common average filtering for myocontrol applications, Medical & Biological Engineering & Computing, 53, 2, 2015. Crossref

  16. Zhang Xu, Zhou Ping, Analysis of surface EMG baseline for detection of hidden muscle activity, Journal of Neural Engineering, 11, 1, 2014. Crossref

  17. Jahanmiri-Nezhad Faezeh, Barkhaus Paul E., Rymer William Zev, Zhou Ping, Spike sorting paradigm for classification of multi-channel recorded fasciculation potentials, Computers in Biology and Medicine, 55, 2014. Crossref

  18. Hakonen Maria, Piitulainen Harri, Visala Arto, Current state of digital signal processing in myoelectric interfaces and related applications, Biomedical Signal Processing and Control, 18, 2015. Crossref

  19. Cimadoro G., Yeadon M. R., Van Hoecke J., Alberti G., Babault N., Minetti A. E., Validation of a subject specific 3-actuator torque-driven model in human vertical jumping, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012. Crossref

  20. McCool Paul, Fraser Graham D., Chan Adrian D. C., Petropoulakis Lykourgos, Soraghan John J., Identification of Contaminant Type in Surface Electromyography (EMG) Signals, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 22, 4, 2014. Crossref

  21. Castellini Claudio, Arquer Albert, Artigas Jordi, sEMG-based estimation of human stiffness: Towards impedance-controlled rehabilitation, 5th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics, 2014. Crossref

  22. Gligorijevic I., De Vos M., Blok J. H., Mijovic B., van Dijk J. P., Van Huffel S., Automated way to obtain motor units' signatures and estimate their firing patterns during voluntary contractions using HD-sEMG, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011. Crossref

  23. Van Gestel L., Wambacq H., Aertbeliën E., Meyns P., Bruyninckx H., Bar-On L., Molenaers G., De Cock P., Desloovere K., To what extent is mean EMG frequency during gait a reflection of functional muscle strength in children with cerebral palsy?, Research in Developmental Disabilities, 33, 3, 2012. Crossref

  24. Castellini Claudio, Ravindra Vikram, A wearable low-cost device based upon Force-Sensing Resistors to detect single-finger forces, 5th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics, 2014. Crossref

  25. Koiva Risto, Hilsenbeck Barbara, Castellini Claudio, Evaluating subsampling strategies for sEMG-based prediction of voluntary muscle contractions, 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR), 2013. Crossref

  26. Ju Zhaojie, Ouyang Gaoxiang, Wilamowska-Korsak Marzena, Liu Honghai, Surface EMG Based Hand Manipulation Identification Via Nonlinear Feature Extraction and Classification, IEEE Sensors Journal, 13, 9, 2013. Crossref

  27. Martin-Martin Jaime, Cuesta-Vargas Antonio I, Quantification of functional hand grip using electromyography and inertial sensor-derived accelerations: clinical implications, BioMedical Engineering OnLine, 13, 1, 2014. Crossref

  28. Li Xiaoyan, Holobar Ales, Gazzoni Marco, Merletti Roberto, Rymer William Zev, Zhou Ping, Examination of Poststroke Alteration in Motor Unit Firing Behavior Using High-Density Surface EMG Decomposition, IEEE Transactions on Biomedical Engineering, 62, 5, 2015. Crossref

  29. Swinnen Eva, Baeyens Jean-Pierre, Meeusen Romain, Kerckhofs Eric, Methodology of electromyographic analysis of the trunk muscles during walking in healthy subjects: A literature review, Journal of Electromyography and Kinesiology, 22, 1, 2012. Crossref

  30. Gallina A., Pollock C.L., Vieira T.M., Ivanova T.D., Garland S.J., Between-day reliability of triceps surae responses to standing perturbations in people post-stroke and healthy controls: A high-density surface EMG investigation, Gait & Posture, 44, 2016. Crossref

  31. Tommasi Tatiana, Orabona Francesco, Castellini Claudio, Caputo Barbara, Improving Control of Dexterous Hand Prostheses Using Adaptive Learning, IEEE Transactions on Robotics, 29, 1, 2013. Crossref

  32. Fang Yinfeng, Liu Honghai, Li Gongfa, Zhu Xiangyang, A Multichannel Surface EMG System for Hand Motion Recognition, International Journal of Humanoid Robotics, 12, 02, 2015. Crossref

  33. Bonfiglioli Roberta, Botter Alberto, Calabrese Monica, Mussoni Patrizia, Violante Francesco S., Merletti Roberto, Surface electromyography features in manual workers affected by carpal tunnel syndrome, Muscle & Nerve, 45, 6, 2012. Crossref

  34. Zhang Xu, Barkhaus Paul E., Rymer William Zev, Zhou Ping, Machine Learning for Supporting Diagnosis of Amyotrophic Lateral Sclerosis Using Surface Electromyogram, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 22, 1, 2014. Crossref

  35. Ouyang Gaoxiang, Zhu Xiangyang, Ju Zhaojie, Liu Honghai, Dynamical Characteristics of Surface EMG Signals of Hand Grasps via Recurrence Plot, IEEE Journal of Biomedical and Health Informatics, 18, 1, 2014. Crossref

  36. Atzori Manfredo, Gijsberts Arjan, Heynen Simone, Hager Anne-Gabrielle Mittaz, Deriaz Olivier, van der Smagt Patrick, Castellini Claudio, Caputo Barbara, Muller Henning, Building the Ninapro database: A resource for the biorobotics community, 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob), 2012. Crossref

  37. Fanta Kathryn, Pierce Scott, Extracting information from myoelectric signals, 2015 Systems and Information Engineering Design Symposium, 2015. Crossref

  38. Bisi Maria Cristina, Stagni Rita, Houdijk Han, Gnudi Gianni, An EMG-driven model applied for predicting metabolic energy consumption during movement, Journal of Electromyography and Kinesiology, 21, 6, 2011. Crossref

  39. Petrini Francesco Maria, Raspopovic Stanisa, Bonizzato Marco, Giambattistelli Federica, Zollo Loredana, Guglielmelli Eugenio, Micera Silvestro, Efferent microneurography recordings: A tool for motor control study and hand-prosthesis decoding, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER), 2013. Crossref

  40. Castellini Claudio, Koiva Risto, Using surface electromyography to predict single finger forces, 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob), 2012. Crossref

  41. Gazzoni M., Afsharipour B., Merletti R., Surface EMG in Ergonomics and Occupational Medicine, in Surface Electromyography : Physiology, Engineering, and Applications, 2016. Crossref

  42. Jordanic Mislav, Rojas-Martínez Mónica, Mañanas Miguel Angel, Alonso Joan Francesc, Spatial distribution of HD-EMG improves identification of task and force in patients with incomplete spinal cord injury, Journal of NeuroEngineering and Rehabilitation, 13, 1, 2016. Crossref

  43. Merletti R., Botter A., Barone U., Detection and Conditioning of Surface EMG Signals, in Surface Electromyography : Physiology, Engineering, and Applications, 2016. Crossref

  44. Holobar A., Farina D., Zazula D., Surface EMG Decomposition, in Surface Electromyography : Physiology, Engineering, and Applications, 2016. Crossref

  45. Connan Mathilde, Ruiz Ramírez Eduardo, Vodermayer Bernhard, Castellini Claudio, Assessment of a Wearable Force- and Electromyography Device and Comparison of the Related Signals for Myocontrol, Frontiers in Neurorobotics, 10, 2016. Crossref

  46. Chen Maoqi, Zhou Ping, A Novel Framework Based on FastICA for High Density Surface EMG Decomposition, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24, 1, 2016. Crossref

  47. Cattarello Paolo, Merletti Roberto, Characterization of dry and wet Electrode-Skin interfaces on different skin treatments for HDsEMG, 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2016. Crossref

  48. Botter Alberto, Vieira Taian M., Filtered Virtual Reference: A New Method for the Reduction of Power Line Interference With Minimal Distortion of Monopolar Surface EMG, IEEE Transactions on Biomedical Engineering, 62, 11, 2015. Crossref

  49. Santello Marco, Bianchi Matteo, Gabiccini Marco, Ricciardi Emiliano, Salvietti Gionata, Prattichizzo Domenico, Ernst Marc, Moscatelli Alessandro, Jörntell Henrik, Kappers Astrid M.L., Kyriakopoulos Kostas, Albu-Schäffer Alin, Castellini Claudio, Bicchi Antonio, Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands, Physics of Life Reviews, 17, 2016. Crossref

  50. Nissler Christian, Mouriki Nikoleta, Castellini Claudio, Belagiannis Vasileios, Navab Nassir, OMG: Introducing optical myography as a new human machine interface for hand amputees, 2015 IEEE International Conference on Rehabilitation Robotics (ICORR), 2015. Crossref

  51. Shiffman C A, Pre-contraction dynamic electrical impedance myography of the forearm finger flexors, Physiological Measurement, 37, 2, 2016. Crossref

  52. Nowak Markus, Aretz Beatrice, Castellini Claudio, Wrist and grasp myocontrol: Online validation in a goal-reaching task, 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2016. Crossref

  53. Locks Francisco, Santos Heleodório Honorato dos, Carvalho Luis Carlos, Stolt Lígia Raquel Ortiz Gomes, Ferreira José Jamacy de Almeida, Neural adaptations in isometric contractions with EMG and force biofeedback, Motriz: Revista de Educação Física, 21, 1, 2015. Crossref

  54. Piitulainen Harri, Botter Alberto, Bourguignon Mathieu, Jousmäki Veikko, Hari Riitta, Spatial variability in cortex-muscle coherence investigated with magnetoencephalography and high-density surface electromyography, Journal of Neurophysiology, 114, 5, 2015. Crossref

  55. Souza Victor Hugo, Vieira Taian Martins, Peres André Salles Cunha, Garcia Marco Antonio Cavalcanti, Vargas Claudia Domingues, Baffa Oswaldo, Effect of TMS coil orientation on the spatial distribution of motor evoked potentials in an intrinsic hand muscle, Biomedical Engineering / Biomedizinische Technik, 63, 6, 2018. Crossref

  56. Zacaron Katy Andrade Monteiro, Dias João Marcos Domingues, Alencar Mariana Asmar, Almeida Luane Landim de, Alberto Mourão-Júnior Carlos, Dias Rosângela Correa, Electromyographic normalization of vastus lateralis and biceps femoris co-contraction during gait of elderly females, Fisioterapia em Movimento, 29, 4, 2016. Crossref

  57. Pizzolato Stefano, Tagliapietra Luca, Cognolato Matteo, Reggiani Monica, Müller Henning, Atzori Manfredo, Zhang Dingguo, Comparison of six electromyography acquisition setups on hand movement classification tasks, PLOS ONE, 12, 10, 2017. Crossref

  58. Patel Gauravkumar K., Nowak Markus, Castellini Claudio, Exploiting Knowledge Composition to Improve Real-Life Hand Prosthetic Control, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 25, 7, 2017. Crossref

  59. Benedetti Maria Grazia, Beghi Ettore, De Tanti Antonio, Cappozzo Aurelio, Basaglia Nino, Cutti Andrea Giovanni, Cereatti Andrea, Stagni Rita, Verdini Federica, Manca Mario, Fantozzi Silvia, Mazzà Claudia, Camomilla Valentina, Campanini Isabella, Castagna Anna, Cavazzuti Lorenzo, Del Maestro Martina, Croce Ugo Della, Gasperi Marco, Leo Tommaso, Marchi Pia, Petrarca Maurizio, Piccinini Luigi, Rabuffetti Marco, Ravaschio Andrea, Sawacha Zimi, Spolaor Fabiola, Tesio Luigi, Vannozzi Giuseppe, Visintin Isabella, Ferrarin Maurizio, SIAMOC position paper on gait analysis in clinical practice: General requirements, methods and appropriateness. Results of an Italian consensus conference, Gait & Posture, 58, 2017. Crossref

  60. Ghataurah Jeetinder, Ferigo Diego, Merhi Lukas-Karim, Pousett Brittany, Menon Carlo, A Multi-sensor Approach for Biomimetic Control of a Robotic Prosthetic Hand, in Bioinformatics and Biomedical Engineering, 10208, 2017. Crossref

  61. Merletti Roberto, Holobar Aleš, Farina Dario, Mathematical Techniques for Noninvasive Muscle Signal Analysis and Interpretation, in Encyclopedia of Biomedical Engineering, 2019. Crossref

  62. Ghaderi Parviz, Marateb Hamid R., Muscle Activity Map Reconstruction from High Density Surface EMG Signals With Missing Channels Using Image Inpainting and Surface Reconstruction Methods, IEEE Transactions on Biomedical Engineering, 64, 7, 2017. Crossref

  63. Botter A., Vieira T. M. M., Loram I. D., Merletti R., Hodson-Tole E. F., A novel system of electrodes transparent to ultrasound for simultaneous detection of myoelectric activity and B-mode ultrasound images of skeletal muscles, Journal of Applied Physiology, 115, 8, 2013. Crossref

  64. Merletti Roberto, Farina Dario, Holobar AleŠ, Surface Electromyography (sEMG), in Wiley Encyclopedia of Electrical and Electronics Engineering, 2018. Crossref

  65. Gaetani Federico, Primiceri Patrizio, Antonio Zappatore Giovanni, Visconti Paolo, Hardware design and software development of a motion control and driving system for transradial prosthesis based on a wireless myoelectric armband, IET Science, Measurement & Technology, 13, 3, 2019. Crossref

  66. Chen Maoqi, Zhang Xu, Zhou Ping, A Novel Validation Approach for High-Density Surface EMG Decomposition in Motor Neuron Disease, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26, 6, 2018. Crossref

  67. Yang Dapeng, Gu Yikun, Thakor Nitish V., Liu Hong, Improving the functionality, robustness, and adaptability of myoelectric control for dexterous motion restoration, Experimental Brain Research, 237, 2, 2019. Crossref

  68. Barbero Marco, Merletti Roberto, Rainoldi Alberto, Applications of sEMG in Dynamic Conditions, Ergonomics, Sports, and Obstetrics, in Atlas of Muscle Innervation Zones, 2012. Crossref

  69. Barbero Marco, Merletti Roberto, Rainoldi Alberto, Features of the Two-Dimensional sEMG Signal: EMG Feature Imaging, in Atlas of Muscle Innervation Zones, 2012. Crossref

  70. Ding Shuai, Wang Liang, Sun Zhan Peng, Gao Wei Jin, Fang Shou Long, Movement Identification Based on Transient sEMG for Control of Prosthesis, Advanced Materials Research, 971-973, 2014. Crossref

  71. Barroso Filipe, Bueno Diana Ruiz, Gallego Juan Álvaro, Jaramillo Paola, Kilicarslan Atilla, Surface EMG in Neurorehabilitation and Ergonomics: State of the Art and Future Perspectives, in Emerging Therapies in Neurorehabilitation, 4, 2014. Crossref

  72. Bai Dianchun, Chen Shutian, Yang Junyou, Upper Arm Motion High-Density sEMG Recognition Optimization Based on Spatial and Time-Frequency Domain Features, Journal of Healthcare Engineering, 2019, 2019. Crossref

  73. Mesin Luca, Separation of interference surface electromyogram into propagating and non-propagating components, Biomedical Signal Processing and Control, 52, 2019. Crossref

  74. Yang Wei, Yang Dapeng, Liu Yu, Liu Hong, EMG Pattern Recognition Using Convolutional Neural Network with Different Scale Signal/Spectra Input, International Journal of Humanoid Robotics, 16, 04, 2019. Crossref

  75. Meattini Roberto, Biagiotti Luigi, Palli Gianluca, De Gregorio Daniele, Melchiorri Claudio, A Control Architecture for Grasp Strength Regulation in Myocontrolled Robotic Hands Using Vibrotactile Feedback: Preliminary Results, 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR), 2019. Crossref

  76. Uemoto Luciana, Antonio C. Garcia Marco, Vinicius D. Gouvêa Cresus, V. Vilella Oswaldo, A. Alfaya Thays, Laser therapy and needling in myofascial trigger point deactivation, Journal of Oral Science, 55, 2, 2013. Crossref

  77. Chen Maoqi, Zhang Xu, Zhou Ping, Automatic Multichannel Intramuscular Electromyogram Decomposition: Progressive FastICA Peel-Off and Performance Validation, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27, 1, 2019. Crossref

  78. Yang Wei, Yang Dapeng, Liu Yu, Liu Hong, Decoding Simultaneous Multi-DOF Wrist Movements From Raw EMG Signals Using a Convolutional Neural Network, IEEE Transactions on Human-Machine Systems, 49, 5, 2019. Crossref

  79. Cerone Giacinto Luigi, Botter Alberto, Gazzoni Marco, A Modular, Smart, and Wearable System for High Density sEMG Detection, IEEE Transactions on Biomedical Engineering, 66, 12, 2019. Crossref

  80. Castellini Claudio, Incremental Learning of Muscle Synergies: From Calibration to Interaction, in Human and Robot Hands, 2016. Crossref

  81. Jung Jee Woon, Her Jin Gang, Ko Jooyeon, Effect of Strength Training of Ankle Plantarflexors on Selective Voluntary Motor Control, Gait Parameters, and Gross Motor Function of Children with Cerebral Palsy, Journal of Physical Therapy Science, 25, 10, 2013. Crossref

  82. Stålberg Erik, van Dijk Hans, Falck Björn, Kimura Jun, Neuwirth Christoph, Pitt Matthew, Podnar Simon, Rubin Devon I., Rutkove Seward, Sanders Donald B., Sonoo Masahiro, Tankisi Hatice, Zwarts Machiel, Standards for quantification of EMG and neurography, Clinical Neurophysiology, 130, 9, 2019. Crossref

  83. Rampichini Susanna, Vieira Taian Martins, Castiglioni Paolo, Merati Giampiero, Complexity Analysis of Surface Electromyography for Assessing the Myoelectric Manifestation of Muscle Fatigue: A Review, Entropy, 22, 5, 2020. Crossref

  84. Andreis Felipe Rettore, Favretto Mateus Andre, Cossul Sandra, Nakamura Luiz Ricardo, Barbetta Pedro Alberto, Marques Jefferson Luiz Brum, Linear mixed-effects models for the analysis of high-density electromyography with application to diabetic peripheral neuropathy, Medical & Biological Engineering & Computing, 58, 7, 2020. Crossref

  85. Falla Deborah, Gallina Alessio, New insights into pain-related changes in muscle activation revealed by high-density surface electromyography, Journal of Electromyography and Kinesiology, 52, 2020. Crossref

  86. Connan Mathilde, Kõiva Risto, Castellini Claudio, Online Natural Myocontrol of Combined Hand and Wrist Actions Using Tactile Myography and the Biomechanics of Grasping, Frontiers in Neurorobotics, 14, 2020. Crossref

  87. Roland Theresa, Motion Artifact Suppression for Insulated EMG to Control Myoelectric Prostheses, Sensors, 20, 4, 2020. Crossref

  88. Barradas Victor R., Kutch Jason J., Kawase Toshihiro, Koike Yasuharu, Schweighofer Nicolas, When 90% of the variance is not enough: residual EMG from muscle synergy extraction influences task performance, Journal of Neurophysiology, 123, 6, 2020. Crossref

  89. Gazzoni Marco, Cerone Giacinto Luigi, Augmented Reality Biofeedback for Muscle Activation Monitoring: Proof of Concept, in 8th European Medical and Biological Engineering Conference, 80, 2021. Crossref

  90. Vieira Taian Martins, Botter Alberto, The Accurate Assessment of Muscle Excitation Requires the Detection of Multiple Surface Electromyograms, Exercise and Sport Sciences Reviews, 49, 1, 2021. Crossref

  91. Jiang Yongyu, Chen Christine, Zhang Xiaodong, Chen Chaoyang, Zhou Yang, Ni Guoxin, Muh Stephanie, Lemos Stephen, Shoulder muscle activation pattern recognition based on sEMG and machine learning algorithms, Computer Methods and Programs in Biomedicine, 197, 2020. Crossref

  92. Yang Wei, Yang Dapeng, Li Jiaming, Liu Yu, Liu Hong, EMG dataset augmentation approaches for improving the multi-DOF wrist movement regression accuracy and robustness, 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2018. Crossref

  93. Steele Katherine M., Papazian Christina, Feldner Heather A., Muscle Activity After Stroke: Perspectives on Deploying Surface Electromyography in Acute Care, Frontiers in Neurology, 11, 2020. Crossref

  94. Bettoni Marco C., Castellini Claudio, Interaction in Assistive Robotics: A Radical Constructivist Design Framework, Frontiers in Neurorobotics, 15, 2021. Crossref

  95. Savc Martin, Holobar Ales, Non-Negative Matrix Factorization of Simulated High Density Surface Electromyograms Reflects Both Muscle Excitation and Muscle Shortening, IEEE Access, 9, 2021. Crossref

  96. Jahanmiri-Nezhad Faezeh, Li Xiaoyan, Rymer William Zev, Zhou Ping, A practice of caution: spontaneous action potentials or artifactual spikes?, Journal of NeuroEngineering and Rehabilitation, 12, 1, 2015. Crossref

  97. Beretta-Piccoli Matteo, Cescon Corrado, D’Antona Giuseppe, Evaluation of performance fatigability through surface EMG in health and muscle disease: state of the art, Arab Journal of Basic and Applied Sciences, 28, 1, 2021. Crossref

  98. Qadir Muhammad Usman, Haq Izhar Ul, Khan Muhammad Awais, Ahmad Mian Naveed, Shah Kamran, Akhtar Nizar, Design, Development and Evaluation of Novel Force Myography Based 2-Degree of Freedom Transradial Prosthesis, IEEE Access, 9, 2021. Crossref

  99. Kotov-Smolenskiy A. M., Khizhnikova A. E., Klochkov A. S., Suponeva N. A., Piradov M. A., Surface EMG: Applicability in the Motion Analysis and Opportunities for Practical Rehabilitation, Human Physiology, 47, 2, 2021. Crossref

  100. Asogbon Mojisola Grace, Williams Samuel Oluwarotimi, Ejay Esugbe, Jarrah Yazan Ali, Chen Shixiong, Li Guanglin, HD-sEMG Signal Denoising Method for Improved Classification Performance in Transhumeral Amputees Pros thesis Control, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021. Crossref

  101. Tanzarella Simone, Muceli Silvia, Del Vecchio Alessandro, Casolo Andrea, Farina Dario, Non-invasive analysis of motor neurons controlling the intrinsic and extrinsic muscles of the hand, Journal of Neural Engineering, 17, 4, 2020. Crossref

  102. Samuel Oluwarotimi Williams, Asogbon Mojisola Grace, Geng Yanjuan, Al-Timemy Ali H., Pirbhulal Sandeep, Ji Ning, Chen Shixiong, Fang Peng, Li Guanglin, Intelligent EMG Pattern Recognition Control Method for Upper-Limb Multifunctional Prostheses: Advances, Current Challenges, and Future Prospects, IEEE Access, 7, 2019. Crossref

  103. Boccia Gennaro, Dardanello Davide, Rosso Valeri, Pizzigalli Luisa, Rainoldi Alberto, The Application of sEMG in Aging: A Mini Review, Gerontology, 61, 5, 2015. Crossref

  104. Connan Mathilde, Sierotowicz Marek, Henze Bernd, Porges Oliver, Albu-Schäffer Alin, Roa Máximo A, Castellini Claudio, Learning to teleoperate an upper-limb assistive humanoid robot for bimanual daily-living tasks, Biomedical Physics & Engineering Express, 8, 1, 2022. Crossref

  105. Savc Martin, Glaser Vojko, Kranjec Jernej, Cikajlo Imre, Matjacic Zlatko, Holobar Ales, Comparison of Convolutive Kernel Compensation and Non-Negative Matrix Factorization of Surface Electromyograms, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26, 10, 2018. Crossref

  106. Marinelli A., Boccardo N., Semprini M., Succi A., Canepa M., Stedman S., Lombardi L., Bellingegni A. Dellacasa, Chiappalone M., Gruppioni E., Laffranchi M., Michieli L. De, Miniature EMG Sensors for Prosthetic Applications, 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER), 2021. Crossref

  107. Cerone G. L., Giangrande A., Ghislieri M., Gazzoni M., Piitulainen H., Botter A., Design and Validation of a Wireless Body Sensor Network for Integrated EEG and HD-sEMG Acquisitions, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30, 2022. Crossref

  108. Carbonaro Marco, Meiburger Kristen M., Seoni Silvia, Hodson-Tole Emma F., Vieira Taian, Botter Alberto, Physical and electrophysiological motor unit characteristics are revealed with simultaneous high-density electromyography and ultrafast ultrasound imaging, Scientific Reports, 12, 1, 2022. Crossref

  109. Ngo Chuong, Munoz Carlos, Lueken Markus, Hülkenberg Alfred, Bollheimer Cornelius, Briko Andrey, Kobelev Alexander, Shchukin Sergey, Leonhardt Steffen, A Wearable, Multi-Frequency Device to Measure Muscle Activity Combining Simultaneous Electromyography and Electrical Impedance Myography, Sensors, 22, 5, 2022. Crossref

  110. Cifrek Mario, Gruić Igor, Medved Vladimir, Kinesiological Electromyography, in Measurement and Analysis of Human Locomotion, 2021. Crossref

  111. Carbonaro Marco, Zaccardi Silvia, Seoni Silvia, Meiburger Kristen M., Botter Alberto, Detecting anatomical characteristics of single motor units by combining high density electromyography and ultrafast ultrasound: a simulation study, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022. Crossref

Begell Digital Portal Begell Digital Library eBooks Journals References & Proceedings Research Collections Prices and Subscription Policies Begell House Contact Us Language English 中文 Русский Português German French Spain