Artigos de revistas sobre o tema "High density surface electromyographic signals"
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Marateb, Hamid R., Monica Rojas-Martínez, Marjan Mansourian, Roberto Merletti e Miguel A. Mañanas Villanueva. "Outlier detection in high-density surface electromyographic signals". Medical & Biological Engineering & Computing 50, n.º 1 (23 de junho de 2011): 79–89. http://dx.doi.org/10.1007/s11517-011-0790-7.
Texto completo da fonteChen, Chen, Shihan Ma, Xinjun Sheng, Dario Farina e Xiangyang Zhu. "Adaptive Real-Time Identification of Motor Unit Discharges From Non-Stationary High-Density Surface Electromyographic Signals". IEEE Transactions on Biomedical Engineering 67, n.º 12 (dezembro de 2020): 3501–9. http://dx.doi.org/10.1109/tbme.2020.2989311.
Texto completo da fonteSong, Rui, Xu Zhang, Xi Chen, Xiang Chen, Xun Chen, Shuang Yang e Erwei Yin. "Decoding silent speech from high-density surface electromyographic data using transformer". Biomedical Signal Processing and Control 80 (fevereiro de 2023): 104298. http://dx.doi.org/10.1016/j.bspc.2022.104298.
Texto completo da fonteLi, Yuchang, Hongqing Pan e Quanjun Song. "ADS1299-Based Array Surface Electromyography Signal Acquisition System". Journal of Physics: Conference Series 2383, n.º 1 (1 de dezembro de 2022): 012054. http://dx.doi.org/10.1088/1742-6596/2383/1/012054.
Texto completo da fonteSleutjes, B. T. H. M., M. De Vos, J. H. Blok, I. Montfoort, B. Mijović, M. Signoretto, S. Van Huffel e I. Gligorijević. "Motor Unit Tracking Using High Density Surface Electromyography (HDsEMG)". Methods of Information in Medicine 54, n.º 03 (2015): 221–26. http://dx.doi.org/10.3414/me13-02-0049.
Texto completo da fonteIbrahim, Ayad Assad, Ikhlas Mahmoud Farhan e Mohammed Ehasn Safi. "A nonlinearities inverse distance weighting spatial interpolation approach applied to the surface electromyography signal". International Journal of Electrical and Computer Engineering (IJECE) 12, n.º 2 (1 de abril de 2022): 1530. http://dx.doi.org/10.11591/ijece.v12i2.pp1530-1539.
Texto completo da fonteXue, Suqi, Farong Gao, Xudong Wu, Qun Xu, Xuecheng Weng e Qizhong Zhang. "MUNIX repeatability evaluation method based on FastICA demixing". Mathematical Biosciences and Engineering 20, n.º 9 (2023): 16362–82. http://dx.doi.org/10.3934/mbe.2023730.
Texto completo da fonteMartinez-Valdes, Eduardo, Francesco Negro, Deborah Falla, Alessandro Marco De Nunzio e Dario Farina. "Surface electromyographic amplitude does not identify differences in neural drive to synergistic muscles". Journal of Applied Physiology 124, n.º 4 (1 de abril de 2018): 1071–79. http://dx.doi.org/10.1152/japplphysiol.01115.2017.
Texto completo da fonteGamucci, Fiorenza, Marcello Pallante, Sybille Molle, Enrico Merlo e Andrea Bertuglia. "A Preliminary Study on the Use of HD-sEMG for the Functional Imaging of Equine Superficial Muscle Activation during Dynamic Mobilization Exercises". Animals 12, n.º 6 (20 de março de 2022): 785. http://dx.doi.org/10.3390/ani12060785.
Texto completo da fonteHossen, A., G. Deuschl, S. Groppa, U. Heute e M. Muthuraman. "Discrimination of physiological tremor from pathological tremor using accelerometer and surface EMG signals". Technology and Health Care 28, n.º 5 (18 de setembro de 2020): 461–76. http://dx.doi.org/10.3233/thc-191947.
Texto completo da fonteWen, Yue, Simon Avrillon, Julio C. Hernandez-Pavon, Sangjoon J. Kim, François Hug e José L. Pons. "A convolutional neural network to identify motor units from high-density surface electromyography signals in real time". Journal of Neural Engineering 18, n.º 5 (6 de abril de 2021): 056003. http://dx.doi.org/10.1088/1741-2552/abeead.
Texto completo da fontePHINYOMARK, ANGKOON, FRANCK QUAINE, YANN LAURILLAU, SIRINEE THONGPANJA, CHUSAK LIMSAKUL e PORNCHAI PHUKPATTARANONT. "EMG AMPLITUDE ESTIMATORS BASED ON PROBABILITY DISTRIBUTION FOR MUSCLE–COMPUTER INTERFACE". Fluctuation and Noise Letters 12, n.º 03 (setembro de 2013): 1350016. http://dx.doi.org/10.1142/s0219477513500168.
Texto completo da fonteCampanini, Isabella, Andrea Merlo, Catherine Disselhorst-Klug, Luca Mesin, Silvia Muceli e Roberto Merletti. "Fundamental Concepts of Bipolar and High-Density Surface EMG Understanding and Teaching for Clinical, Occupational, and Sport Applications: Origin, Detection, and Main Errors". Sensors 22, n.º 11 (30 de maio de 2022): 4150. http://dx.doi.org/10.3390/s22114150.
Texto completo da fonteChen, Jiangcheng, Sheng Bi, George Zhang e Guangzhong Cao. "High-Density Surface EMG-Based Gesture Recognition Using a 3D Convolutional Neural Network". Sensors 20, n.º 4 (21 de fevereiro de 2020): 1201. http://dx.doi.org/10.3390/s20041201.
Texto completo da fonteJaber, Hanadi, Mofeed rashid e Luigi Fortuna. "Interactive Real-Time Control System for The Artificial Hand". Iraqi Journal for Electrical and Electronic Engineering 16, n.º 1 (11 de maio de 2020): 1–10. http://dx.doi.org/10.37917/ijeee.16.1.8.
Texto completo da fonteXu, Qun, Suqi Xue, Farong Gao, Qiuxuan Wu e Qizhong Zhang. "Evaluation method of motor unit number index based on optimal muscle strength combination". Mathematical Biosciences and Engineering 20, n.º 2 (2022): 3854–72. http://dx.doi.org/10.3934/mbe.2023181.
Texto completo da fonteCavalcanti, Jéssica D., Guilherme Augusto F. Fregonezi, Antonio J. Sarmento, Thiago Bezerra, Lucien P. Gualdi, Francesca Pennati, Andrea Aliverti e Vanessa R. Resqueti. "Electrical activity and fatigue of respiratory and locomotor muscles in obstructive respiratory diseases during field walking test". PLOS ONE 17, n.º 4 (1 de abril de 2022): e0266365. http://dx.doi.org/10.1371/journal.pone.0266365.
Texto completo da fonteFavretto, M. A., S. Cossul, F. R. Andreis, L. R. Nakamura, M. F. Ronsoni, S. Tesfaye, D. Selvarajah e J. L. B. Marques. "Alterations of tibialis anterior muscle activation pattern in subjects with type 2 diabetes and diabetic peripheral neuropathy". Biomedical Physics & Engineering Express 8, n.º 2 (5 de janeiro de 2022): 025001. http://dx.doi.org/10.1088/2057-1976/ac455b.
Texto completo da fonteNishikawa, Yuichi, Kohei Watanabe, Aleš Holobar, Tetsuya Takahashi, Noriaki Maeda, Hirofumi Maruyama, Shinobu Tanaka e Allison S. Hyngstrom. "Association between the Degree of Pre-Synaptic Dopaminergic Pathway Degeneration and Motor Unit Firing Behavior in Parkinson’s Disease Patients". Sensors 21, n.º 19 (4 de outubro de 2021): 6615. http://dx.doi.org/10.3390/s21196615.
Texto completo da fonteMurphy, Spencer A., Francesco Negro, Dario Farina, Tanya Onushko, Matthew Durand, Sandra K. Hunter, Brian D. Schmit e Allison Hyngstrom. "Stroke increases ischemia-related decreases in motor unit discharge rates". Journal of Neurophysiology 120, n.º 6 (1 de dezembro de 2018): 3246–56. http://dx.doi.org/10.1152/jn.00923.2017.
Texto completo da fonteDideriksen, Jakob L., Ales Holobar e Deborah Falla. "Preferential distribution of nociceptive input to motoneurons with muscle units in the cranial portion of the upper trapezius muscle". Journal of Neurophysiology 116, n.º 2 (1 de agosto de 2016): 611–18. http://dx.doi.org/10.1152/jn.01117.2015.
Texto completo da fonteHuang, Chengjun, Maoqi Chen, Zhiyuan Lu, Cliff S. Klein e Ping Zhou. "Spatial Dependence of Log-Transformed Electromyography–Force Relation: Model-Based Sensitivity Analysis and Experimental Study of Biceps Brachii". Bioengineering 10, n.º 4 (12 de abril de 2023): 469. http://dx.doi.org/10.3390/bioengineering10040469.
Texto completo da fonteAfsharipour, B., K. Ullah e R. Merletti. "Amplitude indicators and spatial aliasing in high density surface electromyography recordings". Biomedical Signal Processing and Control 22 (setembro de 2015): 170–79. http://dx.doi.org/10.1016/j.bspc.2015.07.001.
Texto completo da fonteGallina, Alessio, Tanya D. Ivanova e S. Jayne Garland. "Regional activation within the vastus medialis in stimulated and voluntary contractions". Journal of Applied Physiology 121, n.º 2 (1 de agosto de 2016): 466–74. http://dx.doi.org/10.1152/japplphysiol.00050.2016.
Texto completo da fonteLee, Jiseop, Dawon Park, Joo-Young Lee e Jaebum Park. "Effect of Warm-Up Exercise on Functional Regulation of Motor Unit Activation during Isometric Torque Production". Journal of Human Kinetics 92 (25 de abril de 2024): 29–41. http://dx.doi.org/10.5114/jhk/185157.
Texto completo da fonteAkif Khidirov, Elgun Salahli, Akif Khidirov, Elgun Salahli. "PROGRAM FOR DETERMINING THE INFORMATIVE PARAMETERS OF SURFACE ELECTROMYOGRAPHIC SIGNALS". PIRETC-Proceeding of The International Research Education & Training Centre 27, n.º 06 (25 de agosto de 2023): 122–30. http://dx.doi.org/10.36962/piretc27062023-122.
Texto completo da fonteLapatki, B. G., J. P. van Dijk, I. E. Jonas, M. J. Zwarts e D. F. Stegeman. "A thin, flexible multielectrode grid for high-density surface EMG". Journal of Applied Physiology 96, n.º 1 (janeiro de 2004): 327–36. http://dx.doi.org/10.1152/japplphysiol.00521.2003.
Texto completo da fonteSteeg, Chiel van de, Andreas Daffertshofer, Dick F. Stegeman e Tjeerd W. Boonstra. "High-density surface electromyography improves the identification of oscillatory synaptic inputs to motoneurons". Journal of Applied Physiology 116, n.º 10 (15 de maio de 2014): 1263–71. http://dx.doi.org/10.1152/japplphysiol.01092.2013.
Texto completo da fonteGuia Rosa, Igor Da, Marco Antonio Cavalcanti Garcia e Marcio Nogueira De Souza. "Investigation of probability density functions in modeling sample distribution of surface electromyographic (sEMG) signals". Archives of Control Sciences 23, n.º 4 (1 de dezembro de 2013): 381–93. http://dx.doi.org/10.2478/acsc-2013-0023.
Texto completo da fonteHefferman, Gerald M., Fan Zhang, Michael J. Nunnery e He Huang. "Integration of surface electromyographic sensors with the transfemoral amputee socket: A comparison of four differing configurations". Prosthetics and Orthotics International 39, n.º 2 (27 de janeiro de 2014): 166–73. http://dx.doi.org/10.1177/0309364613516484.
Texto completo da fonteKrishnamani, Divya Bharathi, P. A. Karthick e Ramakrishnan Swaminathan. "VARIATION OF INSTANTANEOUS SPECTRAL CENTROID ACROSS BANDS OF SURFACE ELECTROMYOGRAPHIC SIGNALS". Biomedical Sciences Instrumentation 57, n.º 2 (1 de abril de 2021): 356–60. http://dx.doi.org/10.34107/yhpn9422.04356.
Texto completo da fonteSanger, Terence D. "Bayesian Filtering of Myoelectric Signals". Journal of Neurophysiology 97, n.º 2 (fevereiro de 2007): 1839–45. http://dx.doi.org/10.1152/jn.00936.2006.
Texto completo da fonteChongzaijiao, He, D. S. V. Bandara, Hirofumi Nogami e Jumpei Arata. "Prediction of finger motions based on high-density electromyographic signals using two-dimensional convolutional neural networks". Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2023 (2023): 1A2—E06. http://dx.doi.org/10.1299/jsmermd.2023.1a2-e06.
Texto completo da fonteRedenbaugh, Margaret A., e Alan R. Reich. "Surface EMG and Related Measures in Normal and Vocally Hyperfunctional Speakers". Journal of Speech and Hearing Disorders 54, n.º 1 (fevereiro de 1989): 68–73. http://dx.doi.org/10.1044/jshd.5401.68.
Texto completo da fonteSproll, Tobias, e Anton Schiela. "An adjoint approach to identification in electromyography: modeling and first order optimality conditions". Inverse Problems 37, n.º 12 (26 de novembro de 2021): 125012. http://dx.doi.org/10.1088/1361-6420/ac362c.
Texto completo da fonteMcHugh, Malachy P., Timothy F. Tyler, Michael G. Browne, Gilbert W. Gleim e Stephen J. Nicholas. "Electromyographic Predictors of Residual Quadriceps Muscle Weakness after Anterior Cruciate Ligament Reconstruction". American Journal of Sports Medicine 30, n.º 3 (maio de 2002): 334–39. http://dx.doi.org/10.1177/03635465020300030601.
Texto completo da fonteLin, Tzu-En, Chih-Ning Tsai, Pei-Wen Yang e Chih-Ching Huang. "(Invited) Air-Permeable MXene Electrode with Miura-ori Structure for Biosensing". ECS Transactions 111, n.º 3 (19 de maio de 2023): 49–54. http://dx.doi.org/10.1149/11103.0049ecst.
Texto completo da fonteStock, Matt S., e Brennan J. Thompson. "Motor Unit Interpulse Intervals During High Force Contractions". Motor Control 20, n.º 1 (janeiro de 2016): 70–86. http://dx.doi.org/10.1123/mc.2014-0089.
Texto completo da fonteLuu, Gia Thien, Abdelbassit Boualem, Tran Trung Duy, Philippe Ravier e Olivier Butteli. "Time-Varying Delay Estimation Applied to the Surface Electromyography Signals Using the Parametric Approach". Fluctuation and Noise Letters 17, n.º 02 (2 de maio de 2018): 1850015. http://dx.doi.org/10.1142/s0219477518500153.
Texto completo da fonteDe Luca, Carlo J., Shey-Sheen Chang, Serge H. Roy, Joshua C. Kline e S. Hamid Nawab. "Decomposition of surface EMG signals from cyclic dynamic contractions". Journal of Neurophysiology 113, n.º 6 (15 de março de 2015): 1941–51. http://dx.doi.org/10.1152/jn.00555.2014.
Texto completo da fonteYang, Kerong, Senhao Zhang, Xuhui Hu, Jiuqiang Li, Yingying Zhang, Yao Tong, Hongbo Yang e Kai Guo. "Stretchable, Flexible, Breathable, Self-Adhesive Epidermal Hand sEMG Sensor System". Bioengineering 11, n.º 2 (1 de fevereiro de 2024): 146. http://dx.doi.org/10.3390/bioengineering11020146.
Texto completo da fonteChen, Maoqi, Ales Holobar, Xu Zhang e Ping Zhou. "Progressive FastICA Peel-Off and Convolution Kernel Compensation Demonstrate High Agreement for High Density Surface EMG Decomposition". Neural Plasticity 2016 (2016): 1–5. http://dx.doi.org/10.1155/2016/3489540.
Texto completo da fonteDel Vecchio, A., A. Holobar, D. Falla, F. Felici, R. M. Enoka e D. Farina. "Tutorial: Analysis of motor unit discharge characteristics from high-density surface EMG signals". Journal of Electromyography and Kinesiology 53 (agosto de 2020): 102426. http://dx.doi.org/10.1016/j.jelekin.2020.102426.
Texto completo da fonteSandoval-Rodriguez, C. L., A. C. Pita-Mejia, R. Villamizar-Mejia, B. E. Tarazona-Romero e Omar Lengerke-Perez. "Model to Relationship the Speed of Hand Movements with the SEMG Signals from the Forearm". Journal of Physics: Conference Series 2224, n.º 1 (1 de abril de 2022): 012094. http://dx.doi.org/10.1088/1742-6596/2224/1/012094.
Texto completo da fonteSt. George, L., T. J. P. Spoormakers, S. H. Roy, S. J. Hobbs, H. M. Clayton, J. Richards e F. M. Serra Bragança. "Reliability of surface electromyographic (sEMG) measures of equine axial and appendicular muscles during overground trot". PLOS ONE 18, n.º 7 (14 de julho de 2023): e0288664. http://dx.doi.org/10.1371/journal.pone.0288664.
Texto completo da fonteIto, Masateru, Fumio Nakamura, Akira Baba, Kaoru Tamada, Hirobumi Ushijima, King Hang Aaron Lau, Abhijit Manna e Wolfgang Knoll. "Enhancement of Surface Plasmon Resonance Signals by Gold Nanoparticles on High-Density DNA Microarrays". Journal of Physical Chemistry C 111, n.º 31 (agosto de 2007): 11653–62. http://dx.doi.org/10.1021/jp070524m.
Texto completo da fonteCarriou, Vincent, Sofiane Boudaoud, Jeremy Laforet e Fouaz Sofiane Ayachi. "Fast generation model of high density surface EMG signals in a cylindrical conductor volume". Computers in Biology and Medicine 74 (julho de 2016): 54–68. http://dx.doi.org/10.1016/j.compbiomed.2016.04.019.
Texto completo da fonteHajian, Gelareh, Ali Etemad e Evelyn Morin. "Automated Channel Selection in High-Density sEMG for Improved Force Estimation". Sensors 20, n.º 17 (27 de agosto de 2020): 4858. http://dx.doi.org/10.3390/s20174858.
Texto completo da fontePietraszewski, Przemysław, Artur Gołaś, Michał Krzysztofik, Marta Śrutwa e Adam Zając. "Evaluation of Lower Limb Muscle Electromyographic Activity during 400 m Indoor Sprinting among Elite Female Athletes: A Cross-Sectional Study". International Journal of Environmental Research and Public Health 18, n.º 24 (14 de dezembro de 2021): 13177. http://dx.doi.org/10.3390/ijerph182413177.
Texto completo da fonteLin, Tzu-En, Chih-Ning Tsai, Pei-Wen Yang e Chih-Ching Huang. "(Invited) Air-Permeable MXene Electrode with Miura-ori Structure for Biosensing". ECS Meeting Abstracts MA2023-01, n.º 34 (28 de agosto de 2023): 1938. http://dx.doi.org/10.1149/ma2023-01341938mtgabs.
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