Zeitschriftenartikel zum Thema „High density surface electromyographic signals“
Geben Sie eine Quelle nach APA, MLA, Chicago, Harvard und anderen Zitierweisen an
Machen Sie sich mit Top-50 Zeitschriftenartikel für die Forschung zum Thema "High density surface electromyographic signals" bekannt.
Neben jedem Werk im Literaturverzeichnis ist die Option "Zur Bibliographie hinzufügen" verfügbar. Nutzen Sie sie, wird Ihre bibliographische Angabe des gewählten Werkes nach der nötigen Zitierweise (APA, MLA, Harvard, Chicago, Vancouver usw.) automatisch gestaltet.
Sie können auch den vollen Text der wissenschaftlichen Publikation im PDF-Format herunterladen und eine Online-Annotation der Arbeit lesen, wenn die relevanten Parameter in den Metadaten verfügbar sind.
Sehen Sie die Zeitschriftenartikel für verschiedene Spezialgebieten durch und erstellen Sie Ihre Bibliographie auf korrekte Weise.
Marateb, Hamid R., Monica Rojas-Martínez, Marjan Mansourian, Roberto Merletti und Miguel A. Mañanas Villanueva. „Outlier detection in high-density surface electromyographic signals“. Medical & Biological Engineering & Computing 50, Nr. 1 (23.06.2011): 79–89. http://dx.doi.org/10.1007/s11517-011-0790-7.
Der volle Inhalt der QuelleChen, Chen, Shihan Ma, Xinjun Sheng, Dario Farina und Xiangyang Zhu. „Adaptive Real-Time Identification of Motor Unit Discharges From Non-Stationary High-Density Surface Electromyographic Signals“. IEEE Transactions on Biomedical Engineering 67, Nr. 12 (Dezember 2020): 3501–9. http://dx.doi.org/10.1109/tbme.2020.2989311.
Der volle Inhalt der QuelleSong, Rui, Xu Zhang, Xi Chen, Xiang Chen, Xun Chen, Shuang Yang und Erwei Yin. „Decoding silent speech from high-density surface electromyographic data using transformer“. Biomedical Signal Processing and Control 80 (Februar 2023): 104298. http://dx.doi.org/10.1016/j.bspc.2022.104298.
Der volle Inhalt der QuelleLi, Yuchang, Hongqing Pan und Quanjun Song. „ADS1299-Based Array Surface Electromyography Signal Acquisition System“. Journal of Physics: Conference Series 2383, Nr. 1 (01.12.2022): 012054. http://dx.doi.org/10.1088/1742-6596/2383/1/012054.
Der volle Inhalt der QuelleSleutjes, B. T. H. M., M. De Vos, J. H. Blok, I. Montfoort, B. Mijović, M. Signoretto, S. Van Huffel und I. Gligorijević. „Motor Unit Tracking Using High Density Surface Electromyography (HDsEMG)“. Methods of Information in Medicine 54, Nr. 03 (2015): 221–26. http://dx.doi.org/10.3414/me13-02-0049.
Der volle Inhalt der QuelleIbrahim, Ayad Assad, Ikhlas Mahmoud Farhan und 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, Nr. 2 (01.04.2022): 1530. http://dx.doi.org/10.11591/ijece.v12i2.pp1530-1539.
Der volle Inhalt der QuelleXue, Suqi, Farong Gao, Xudong Wu, Qun Xu, Xuecheng Weng und Qizhong Zhang. „MUNIX repeatability evaluation method based on FastICA demixing“. Mathematical Biosciences and Engineering 20, Nr. 9 (2023): 16362–82. http://dx.doi.org/10.3934/mbe.2023730.
Der volle Inhalt der QuelleMartinez-Valdes, Eduardo, Francesco Negro, Deborah Falla, Alessandro Marco De Nunzio und Dario Farina. „Surface electromyographic amplitude does not identify differences in neural drive to synergistic muscles“. Journal of Applied Physiology 124, Nr. 4 (01.04.2018): 1071–79. http://dx.doi.org/10.1152/japplphysiol.01115.2017.
Der volle Inhalt der QuelleGamucci, Fiorenza, Marcello Pallante, Sybille Molle, Enrico Merlo und 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, Nr. 6 (20.03.2022): 785. http://dx.doi.org/10.3390/ani12060785.
Der volle Inhalt der QuelleHossen, A., G. Deuschl, S. Groppa, U. Heute und M. Muthuraman. „Discrimination of physiological tremor from pathological tremor using accelerometer and surface EMG signals“. Technology and Health Care 28, Nr. 5 (18.09.2020): 461–76. http://dx.doi.org/10.3233/thc-191947.
Der volle Inhalt der QuelleWen, Yue, Simon Avrillon, Julio C. Hernandez-Pavon, Sangjoon J. Kim, François Hug und 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, Nr. 5 (06.04.2021): 056003. http://dx.doi.org/10.1088/1741-2552/abeead.
Der volle Inhalt der QuellePHINYOMARK, ANGKOON, FRANCK QUAINE, YANN LAURILLAU, SIRINEE THONGPANJA, CHUSAK LIMSAKUL und PORNCHAI PHUKPATTARANONT. „EMG AMPLITUDE ESTIMATORS BASED ON PROBABILITY DISTRIBUTION FOR MUSCLE–COMPUTER INTERFACE“. Fluctuation and Noise Letters 12, Nr. 03 (September 2013): 1350016. http://dx.doi.org/10.1142/s0219477513500168.
Der volle Inhalt der QuelleCampanini, Isabella, Andrea Merlo, Catherine Disselhorst-Klug, Luca Mesin, Silvia Muceli und 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, Nr. 11 (30.05.2022): 4150. http://dx.doi.org/10.3390/s22114150.
Der volle Inhalt der QuelleChen, Jiangcheng, Sheng Bi, George Zhang und Guangzhong Cao. „High-Density Surface EMG-Based Gesture Recognition Using a 3D Convolutional Neural Network“. Sensors 20, Nr. 4 (21.02.2020): 1201. http://dx.doi.org/10.3390/s20041201.
Der volle Inhalt der QuelleJaber, Hanadi, Mofeed rashid und Luigi Fortuna. „Interactive Real-Time Control System for The Artificial Hand“. Iraqi Journal for Electrical and Electronic Engineering 16, Nr. 1 (11.05.2020): 1–10. http://dx.doi.org/10.37917/ijeee.16.1.8.
Der volle Inhalt der QuelleXu, Qun, Suqi Xue, Farong Gao, Qiuxuan Wu und Qizhong Zhang. „Evaluation method of motor unit number index based on optimal muscle strength combination“. Mathematical Biosciences and Engineering 20, Nr. 2 (2022): 3854–72. http://dx.doi.org/10.3934/mbe.2023181.
Der volle Inhalt der QuelleCavalcanti, Jéssica D., Guilherme Augusto F. Fregonezi, Antonio J. Sarmento, Thiago Bezerra, Lucien P. Gualdi, Francesca Pennati, Andrea Aliverti und Vanessa R. Resqueti. „Electrical activity and fatigue of respiratory and locomotor muscles in obstructive respiratory diseases during field walking test“. PLOS ONE 17, Nr. 4 (01.04.2022): e0266365. http://dx.doi.org/10.1371/journal.pone.0266365.
Der volle Inhalt der QuelleFavretto, M. A., S. Cossul, F. R. Andreis, L. R. Nakamura, M. F. Ronsoni, S. Tesfaye, D. Selvarajah und 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, Nr. 2 (05.01.2022): 025001. http://dx.doi.org/10.1088/2057-1976/ac455b.
Der volle Inhalt der QuelleNishikawa, Yuichi, Kohei Watanabe, Aleš Holobar, Tetsuya Takahashi, Noriaki Maeda, Hirofumi Maruyama, Shinobu Tanaka und 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, Nr. 19 (04.10.2021): 6615. http://dx.doi.org/10.3390/s21196615.
Der volle Inhalt der QuelleMurphy, Spencer A., Francesco Negro, Dario Farina, Tanya Onushko, Matthew Durand, Sandra K. Hunter, Brian D. Schmit und Allison Hyngstrom. „Stroke increases ischemia-related decreases in motor unit discharge rates“. Journal of Neurophysiology 120, Nr. 6 (01.12.2018): 3246–56. http://dx.doi.org/10.1152/jn.00923.2017.
Der volle Inhalt der QuelleDideriksen, Jakob L., Ales Holobar und 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, Nr. 2 (01.08.2016): 611–18. http://dx.doi.org/10.1152/jn.01117.2015.
Der volle Inhalt der QuelleHuang, Chengjun, Maoqi Chen, Zhiyuan Lu, Cliff S. Klein und Ping Zhou. „Spatial Dependence of Log-Transformed Electromyography–Force Relation: Model-Based Sensitivity Analysis and Experimental Study of Biceps Brachii“. Bioengineering 10, Nr. 4 (12.04.2023): 469. http://dx.doi.org/10.3390/bioengineering10040469.
Der volle Inhalt der QuelleAfsharipour, B., K. Ullah und R. Merletti. „Amplitude indicators and spatial aliasing in high density surface electromyography recordings“. Biomedical Signal Processing and Control 22 (September 2015): 170–79. http://dx.doi.org/10.1016/j.bspc.2015.07.001.
Der volle Inhalt der QuelleGallina, Alessio, Tanya D. Ivanova und S. Jayne Garland. „Regional activation within the vastus medialis in stimulated and voluntary contractions“. Journal of Applied Physiology 121, Nr. 2 (01.08.2016): 466–74. http://dx.doi.org/10.1152/japplphysiol.00050.2016.
Der volle Inhalt der QuelleLee, Jiseop, Dawon Park, Joo-Young Lee und Jaebum Park. „Effect of Warm-Up Exercise on Functional Regulation of Motor Unit Activation during Isometric Torque Production“. Journal of Human Kinetics 92 (25.04.2024): 29–41. http://dx.doi.org/10.5114/jhk/185157.
Der volle Inhalt der QuelleAkif 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, Nr. 06 (25.08.2023): 122–30. http://dx.doi.org/10.36962/piretc27062023-122.
Der volle Inhalt der QuelleLapatki, B. G., J. P. van Dijk, I. E. Jonas, M. J. Zwarts und D. F. Stegeman. „A thin, flexible multielectrode grid for high-density surface EMG“. Journal of Applied Physiology 96, Nr. 1 (Januar 2004): 327–36. http://dx.doi.org/10.1152/japplphysiol.00521.2003.
Der volle Inhalt der QuelleSteeg, Chiel van de, Andreas Daffertshofer, Dick F. Stegeman und Tjeerd W. Boonstra. „High-density surface electromyography improves the identification of oscillatory synaptic inputs to motoneurons“. Journal of Applied Physiology 116, Nr. 10 (15.05.2014): 1263–71. http://dx.doi.org/10.1152/japplphysiol.01092.2013.
Der volle Inhalt der QuelleGuia Rosa, Igor Da, Marco Antonio Cavalcanti Garcia und Marcio Nogueira De Souza. „Investigation of probability density functions in modeling sample distribution of surface electromyographic (sEMG) signals“. Archives of Control Sciences 23, Nr. 4 (01.12.2013): 381–93. http://dx.doi.org/10.2478/acsc-2013-0023.
Der volle Inhalt der QuelleHefferman, Gerald M., Fan Zhang, Michael J. Nunnery und He Huang. „Integration of surface electromyographic sensors with the transfemoral amputee socket: A comparison of four differing configurations“. Prosthetics and Orthotics International 39, Nr. 2 (27.01.2014): 166–73. http://dx.doi.org/10.1177/0309364613516484.
Der volle Inhalt der QuelleKrishnamani, Divya Bharathi, P. A. Karthick und Ramakrishnan Swaminathan. „VARIATION OF INSTANTANEOUS SPECTRAL CENTROID ACROSS BANDS OF SURFACE ELECTROMYOGRAPHIC SIGNALS“. Biomedical Sciences Instrumentation 57, Nr. 2 (01.04.2021): 356–60. http://dx.doi.org/10.34107/yhpn9422.04356.
Der volle Inhalt der QuelleSanger, Terence D. „Bayesian Filtering of Myoelectric Signals“. Journal of Neurophysiology 97, Nr. 2 (Februar 2007): 1839–45. http://dx.doi.org/10.1152/jn.00936.2006.
Der volle Inhalt der QuelleChongzaijiao, He, D. S. V. Bandara, Hirofumi Nogami und 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.
Der volle Inhalt der QuelleRedenbaugh, Margaret A., und Alan R. Reich. „Surface EMG and Related Measures in Normal and Vocally Hyperfunctional Speakers“. Journal of Speech and Hearing Disorders 54, Nr. 1 (Februar 1989): 68–73. http://dx.doi.org/10.1044/jshd.5401.68.
Der volle Inhalt der QuelleSproll, Tobias, und Anton Schiela. „An adjoint approach to identification in electromyography: modeling and first order optimality conditions“. Inverse Problems 37, Nr. 12 (26.11.2021): 125012. http://dx.doi.org/10.1088/1361-6420/ac362c.
Der volle Inhalt der QuelleMcHugh, Malachy P., Timothy F. Tyler, Michael G. Browne, Gilbert W. Gleim und Stephen J. Nicholas. „Electromyographic Predictors of Residual Quadriceps Muscle Weakness after Anterior Cruciate Ligament Reconstruction“. American Journal of Sports Medicine 30, Nr. 3 (Mai 2002): 334–39. http://dx.doi.org/10.1177/03635465020300030601.
Der volle Inhalt der QuelleLin, Tzu-En, Chih-Ning Tsai, Pei-Wen Yang und Chih-Ching Huang. „(Invited) Air-Permeable MXene Electrode with Miura-ori Structure for Biosensing“. ECS Transactions 111, Nr. 3 (19.05.2023): 49–54. http://dx.doi.org/10.1149/11103.0049ecst.
Der volle Inhalt der QuelleStock, Matt S., und Brennan J. Thompson. „Motor Unit Interpulse Intervals During High Force Contractions“. Motor Control 20, Nr. 1 (Januar 2016): 70–86. http://dx.doi.org/10.1123/mc.2014-0089.
Der volle Inhalt der QuelleLuu, Gia Thien, Abdelbassit Boualem, Tran Trung Duy, Philippe Ravier und Olivier Butteli. „Time-Varying Delay Estimation Applied to the Surface Electromyography Signals Using the Parametric Approach“. Fluctuation and Noise Letters 17, Nr. 02 (02.05.2018): 1850015. http://dx.doi.org/10.1142/s0219477518500153.
Der volle Inhalt der QuelleDe Luca, Carlo J., Shey-Sheen Chang, Serge H. Roy, Joshua C. Kline und S. Hamid Nawab. „Decomposition of surface EMG signals from cyclic dynamic contractions“. Journal of Neurophysiology 113, Nr. 6 (15.03.2015): 1941–51. http://dx.doi.org/10.1152/jn.00555.2014.
Der volle Inhalt der QuelleYang, Kerong, Senhao Zhang, Xuhui Hu, Jiuqiang Li, Yingying Zhang, Yao Tong, Hongbo Yang und Kai Guo. „Stretchable, Flexible, Breathable, Self-Adhesive Epidermal Hand sEMG Sensor System“. Bioengineering 11, Nr. 2 (01.02.2024): 146. http://dx.doi.org/10.3390/bioengineering11020146.
Der volle Inhalt der QuelleChen, Maoqi, Ales Holobar, Xu Zhang und 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.
Der volle Inhalt der QuelleDel Vecchio, A., A. Holobar, D. Falla, F. Felici, R. M. Enoka und D. Farina. „Tutorial: Analysis of motor unit discharge characteristics from high-density surface EMG signals“. Journal of Electromyography and Kinesiology 53 (August 2020): 102426. http://dx.doi.org/10.1016/j.jelekin.2020.102426.
Der volle Inhalt der QuelleSandoval-Rodriguez, C. L., A. C. Pita-Mejia, R. Villamizar-Mejia, B. E. Tarazona-Romero und Omar Lengerke-Perez. „Model to Relationship the Speed of Hand Movements with the SEMG Signals from the Forearm“. Journal of Physics: Conference Series 2224, Nr. 1 (01.04.2022): 012094. http://dx.doi.org/10.1088/1742-6596/2224/1/012094.
Der volle Inhalt der QuelleSt. George, L., T. J. P. Spoormakers, S. H. Roy, S. J. Hobbs, H. M. Clayton, J. Richards und F. M. Serra Bragança. „Reliability of surface electromyographic (sEMG) measures of equine axial and appendicular muscles during overground trot“. PLOS ONE 18, Nr. 7 (14.07.2023): e0288664. http://dx.doi.org/10.1371/journal.pone.0288664.
Der volle Inhalt der QuelleIto, Masateru, Fumio Nakamura, Akira Baba, Kaoru Tamada, Hirobumi Ushijima, King Hang Aaron Lau, Abhijit Manna und Wolfgang Knoll. „Enhancement of Surface Plasmon Resonance Signals by Gold Nanoparticles on High-Density DNA Microarrays“. Journal of Physical Chemistry C 111, Nr. 31 (August 2007): 11653–62. http://dx.doi.org/10.1021/jp070524m.
Der volle Inhalt der QuelleCarriou, Vincent, Sofiane Boudaoud, Jeremy Laforet und Fouaz Sofiane Ayachi. „Fast generation model of high density surface EMG signals in a cylindrical conductor volume“. Computers in Biology and Medicine 74 (Juli 2016): 54–68. http://dx.doi.org/10.1016/j.compbiomed.2016.04.019.
Der volle Inhalt der QuelleHajian, Gelareh, Ali Etemad und Evelyn Morin. „Automated Channel Selection in High-Density sEMG for Improved Force Estimation“. Sensors 20, Nr. 17 (27.08.2020): 4858. http://dx.doi.org/10.3390/s20174858.
Der volle Inhalt der QuellePietraszewski, Przemysław, Artur Gołaś, Michał Krzysztofik, Marta Śrutwa und 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, Nr. 24 (14.12.2021): 13177. http://dx.doi.org/10.3390/ijerph182413177.
Der volle Inhalt der QuelleLin, Tzu-En, Chih-Ning Tsai, Pei-Wen Yang und Chih-Ching Huang. „(Invited) Air-Permeable MXene Electrode with Miura-ori Structure for Biosensing“. ECS Meeting Abstracts MA2023-01, Nr. 34 (28.08.2023): 1938. http://dx.doi.org/10.1149/ma2023-01341938mtgabs.
Der volle Inhalt der Quelle