Artigos de revistas sobre o tema "Signal EMG du muscle"
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Strzecha, Krzysztof, Marek Krakós, Bogusław Więcek, Piotr Chudzik, Karol Tatar, Grzegorz Lisowski, Volodymyr Mosorov e Dominik Sankowski. "Processing of EMG Signals with High Impact of Power Line and Cardiac Interferences". Applied Sciences 11, n.º 10 (19 de maio de 2021): 4625. http://dx.doi.org/10.3390/app11104625.
Texto completo da fonteArifin, Fatchul, Tri Arief Sardjono e Mauridhi Hery Purnomo. "THE RELATIONSHIP BETWEEN ELECTROMYOGRAPHY SIGNAL OF NECK MUSCLE AND HUMAN VOICE SIGNAL FOR CONTROLLING LOUDNESS OF ELECTROLARYNX". Biomedical Engineering: Applications, Basis and Communications 26, n.º 05 (26 de setembro de 2014): 1450054. http://dx.doi.org/10.4015/s1016237214500549.
Texto completo da fonteMerletti, R., B. Indino, T. Graven-Nielsen e D. Farina. "Surface EMG Crosstalk Evaluated from Experimental Recordings and Simulated Signals". Methods of Information in Medicine 43, n.º 01 (2004): 30–35. http://dx.doi.org/10.1055/s-0038-1633419.
Texto completo da fonteShiao, Yaojung, e Thang Hoang. "Exercise Condition Sensing in Smart Leg Extension Machine". Sensors 22, n.º 17 (23 de agosto de 2022): 6336. http://dx.doi.org/10.3390/s22176336.
Texto completo da fonteNeto, Osmar Pinto, e Evangelos A. Christou. "Rectification of the EMG Signal Impairs the Identification of Oscillatory Input to the Muscle". Journal of Neurophysiology 103, n.º 2 (fevereiro de 2010): 1093–103. http://dx.doi.org/10.1152/jn.00792.2009.
Texto completo da fonteOjha, Anuj. "An Introduction to Electromyography Signal Processing and Machine Learning for Pattern Recognition: A Brief Overview". Extensive Reviews 3, n.º 1 (31 de dezembro de 2023): 24–37. http://dx.doi.org/10.21467/exr.3.1.8382.
Texto completo da fonteHAMZI, Maroua, Mohamed BOUMEHRAZ e Rafia HASSANI. "Flexion Angle Estimation from Single Channel Forearm EMG Signals using Effective Features". Electrotehnica, Electronica, Automatica 71, n.º 3 (15 de agosto de 2023): 61–68. http://dx.doi.org/10.46904/eea.23.71.3.1108007.
Texto completo da fontePratama, Destra Andika, Yeni Irdayanti e Satrio Aditiyas Sukardi. "EMG Signal Analysis on Flexion Extension Movements of The Hand and Leg Using Matlab". Radiasi : Jurnal Berkala Pendidikan Fisika 16, n.º 2 (29 de setembro de 2023): 61–70. http://dx.doi.org/10.37729/radiasi.v16i2.3373.
Texto completo da fonteRusli, Rusli Ully, Ruslan Ruslan, Sarifin G., Arimbi Arimbi e Mariyal Qibtiyah. "Measurement of Medial Head Gastrocnemius Muscle Contraction Strength in Basic Sepak Takraw Techniques Using Electromyogram Signals". COMPETITOR: Jurnal Pendidikan Kepelatihan Olahraga 15, n.º 3 (28 de outubro de 2023): 683. http://dx.doi.org/10.26858/cjpko.v15i3.53403.
Texto completo da fonteLiang, Hongbo, Yingxin Yu, Mika Mochida, Chang Liu, Naoya Ueda, Peirang Li e Chi Zhu. "EEG-Based EMG Estimation of Shoulder Joint for the Power Augmentation System of Upper Limbs". Symmetry 12, n.º 11 (10 de novembro de 2020): 1851. http://dx.doi.org/10.3390/sym12111851.
Texto completo da fonteTanuja Subba, Et al. "A Study on Electromyography Signal as a Controller". International Journal on Recent and Innovation Trends in Computing and Communication 11, n.º 9 (13 de fevereiro de 2024): 4662–67. http://dx.doi.org/10.17762/ijritcc.v11i9.10014.
Texto completo da fonteSong, Kwangsub, Sangui Choi e Hooman Lee. "Voluntary Muscle Contraction Detection Algorithm Based on LSTM for Muscle Quality Measurement Algorithm". Applied Sciences 11, n.º 18 (17 de setembro de 2021): 8676. http://dx.doi.org/10.3390/app11188676.
Texto completo da fonteCaesaria, Arifah Putri, Endro Yulianto, Sari Luthfiyah, Triwiyanto Triwiyanto e Achmad Rizal. "Effect of Muscle Fatigue on EMG Signal and Maximum Heart Rate for Pre and Post Physical Activity". Journal of Electronics, Electromedical Engineering, and Medical Informatics 5, n.º 1 (30 de janeiro de 2023): 39–45. http://dx.doi.org/10.35882/jeeemi.v5i1.278.
Texto completo da fonteAnas Fouad Ahmed. "A quick survey of filtering techniques for surface electromyography signals". Global Journal of Engineering and Technology Advances 11, n.º 3 (30 de junho de 2022): 105–10. http://dx.doi.org/10.30574/gjeta.2022.11.3.0101.
Texto completo da fonteJUNG, CHAN YONG, JUN-SIK PARK, YONGHYUN LIM, YOUNG-BEOM KIM, KWAN KYU PARK, JE HEON MOON, JOO-HO SONG e SANGHOON LEE. "ESTIMATING FATIGUE LEVEL OF FEMORAL AND GASTROCEMIUS MUSCLES BASED ON SURFACE ELECTROMYOGRAPHY IN TIME AND FREQUENCY DOMAIN". Journal of Mechanics in Medicine and Biology 18, n.º 05 (agosto de 2018): 1850042. http://dx.doi.org/10.1142/s0219519418500422.
Texto completo da fonteMalik Mohd Ali, Abdul, Syed Faiz Ahmed, Athar Ali, M. Kamran Joyo, Kushairy A. Kadir e Radzi Ambar. "EMG-Based Spasticity Robotic Arm Forupper Arm Fatigue Identification". International Journal of Engineering & Technology 7, n.º 2.34 (8 de junho de 2018): 79. http://dx.doi.org/10.14419/ijet.v7i2.34.13917.
Texto completo da fonteLima Alberton, Cristine, Stephanie Santana Pinto, Natália Amélia da Silva Azenha, Eduardo Lusa Cadore, Marcus Peikriszwili Tartaruga, Bruno Brasil e Luiz Fernando Martins Kruel. "Kinesiological Analysis of Stationary Running Performed in Aquatic and Dry Land Environments". Journal of Human Kinetics 49, n.º 1 (1 de dezembro de 2015): 5–14. http://dx.doi.org/10.1515/hukin-2015-0103.
Texto completo da fonteFauzi, Muhammad, Endro Yulianto, Bambang Guruh Irianto, Sari Luthfiyah, Triwiyanto Triwiyanto, Vishwajeet Shankhwar e Bahaa Eddine ELBAGHAZAOUI. "Effect of Muscle Fatigue on Heart Signal on Physical Activity with Electromyogram and Electrocardiogram (EMG Parameter ) Monitoring Signals". Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics 4, n.º 3 (23 de agosto de 2022): 114–22. http://dx.doi.org/10.35882/ijeeemi.v4i3.240.
Texto completo da fontePrasad, V. V. K. D. V., B. Nagasirisha, Joycy Y. Janitha, Naik R. Venkatesh, Naga Sai B. Lalithadithya e T. Ramya. "Feature extraction and classification of different hand movements from the emg signal using linear discriminant analysis classifier". i-manager’s Journal on Electronics Engineering 14, n.º 2 (2024): 19. http://dx.doi.org/10.26634/jele.14.2.20585.
Texto completo da fonteHuang, Q. H., Y. P. Zheng, X. Chena, J. F. He e J. Shi. "A System for the Synchronized Recording of Sonomyography, Electromyography and Joint Angle". Open Biomedical Engineering Journal 1, n.º 1 (11 de dezembro de 2007): 77–84. http://dx.doi.org/10.2174/1874120700701010077.
Texto completo da fonteTSUJI, TOSHIO, NAN BU, JUN ARITA e MAKOTO OHGA. "A SPEECH SYNTHESIZER USING FACIAL EMG SIGNALS". International Journal of Computational Intelligence and Applications 07, n.º 01 (março de 2008): 1–15. http://dx.doi.org/10.1142/s1469026808002119.
Texto completo da fonteQassim, Hassan M., Wan Zuha Wan Hasan, Hafiz R. Ramli, Hazreen Haizi Harith, Liyana Najwa Inche Mat e Luthffi Idzhar Ismail. "Proposed Fatigue Index for the Objective Detection of Muscle Fatigue Using Surface Electromyography and a Double-Step Binary Classifier". Sensors 22, n.º 5 (28 de fevereiro de 2022): 1900. http://dx.doi.org/10.3390/s22051900.
Texto completo da fonteTriwiyanto, Triwiyanto, Triana Rahmawati, I. Putu Alit Pawana e Evrinka Hikaristiana Maulidia. "Investigation of Electrode Location to Improve the Accuracy of Wearable Hand Exoskeleton Trainer Based on Electromyography". Journal of Biomimetics, Biomaterials and Biomedical Engineering 55 (28 de março de 2022): 71–80. http://dx.doi.org/10.4028/p-y7g473.
Texto completo da fonteSarangi, Animesh, Bal Gopal Mishra e Satyabhama Dash. "Singular Spectrum Analysis Based EMG Artifact Removal from ECG Signal". YMER Digital 21, n.º 08 (11 de agosto de 2022): 400–407. http://dx.doi.org/10.37896/ymer21.08/36.
Texto completo da fonteKEERATIHATTAYAKORN, Saran, e Shigeru TADANO. "1B08 Relationship between EMG signal and muscle acceleration during elbow flexion/extension". Proceedings of the Bioengineering Conference Annual Meeting of BED/JSME 2013.25 (2013): 73–74. http://dx.doi.org/10.1299/jsmebio.2013.25.73.
Texto completo da fonteGAO, YONGSHENG, SHENGXIN WANG, FEIYUN XIAO e JIE ZHAO. "AN ANGLE-EMG BIOMECHANICAL MODEL OF THE HUMAN ELBOW JOINT". Journal of Mechanics in Medicine and Biology 16, n.º 06 (setembro de 2016): 1650078. http://dx.doi.org/10.1142/s0219519416500780.
Texto completo da fonteSadikoglu, Fahreddin, Cemal Kavalcioglu e Berk Dagman. "Electromyogram (EMG) signal detection, classification of EMG signals and diagnosis of neuropathy muscle disease". Procedia Computer Science 120 (2017): 422–29. http://dx.doi.org/10.1016/j.procs.2017.11.259.
Texto completo da fonteOo, Thandar, e Pornchai Phukpattaranont. "Signal-to-Noise Ratio Estimation in Electromyography Signals Contaminated with Electrocardiography Signals". Fluctuation and Noise Letters 19, n.º 03 (17 de fevereiro de 2020): 2050027. http://dx.doi.org/10.1142/s0219477520500273.
Texto completo da fontePutra, Darma Setiawan, e Yuril Umbu WW. "Feature Extraction of Facial Electromyograph (EMG) Signal for Aceh Languages Speech using Discrete Wavelet Transform (DWT)". Jurnal Inotera 4, n.º 1 (10 de julho de 2019): 31. http://dx.doi.org/10.31572/inotera.vol4.iss1.2019.id73.
Texto completo da fonteIsezaki, Takashi, Hideki Kadone, Arinobu Niijima, Ryosuke Aoki, Tomoki Watanabe , Toshitaka Kimura e Kenji Suzuki. "Sock-Type Wearable Sensor for Estimating Lower Leg Muscle Activity Using Distal EMG Signals". Sensors 19, n.º 8 (25 de abril de 2019): 1954. http://dx.doi.org/10.3390/s19081954.
Texto completo da fonteKamal, Shahul Mujib, Sue Sim, Rui Tee, Visvamba Nathan e Hamidreza Namazi. "Complexity-Based Analysis of the Relation between Human Muscle Reaction and Walking Path". Fluctuation and Noise Letters 19, n.º 03 (28 de janeiro de 2020): 2050025. http://dx.doi.org/10.1142/s021947752050025x.
Texto completo da fonteDeslivia, Maria, Hyun-Joo Lee, Rizki Zulkarnain, Bin Zhu, Arnold Adikrishna, In-ho Jeon e Keehoon Kim. "The Effect of Split Nerve on Electromyography Signal Pattern in a Rat Model". Journal of Reconstructive Microsurgery 34, n.º 02 (26 de setembro de 2017): 095–102. http://dx.doi.org/10.1055/s-0037-1606539.
Texto completo da fonteJeon, Bu Il, Byung Jun Kang, Hyun Chan Cho e Jongwon Kim. "Motion Recognition and an Accuracy Comparison of Left and Right Arms by EEG Signal Analysis". Applied Sciences 9, n.º 22 (14 de novembro de 2019): 4885. http://dx.doi.org/10.3390/app9224885.
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 fonteChen, Wei, Ruizhi Chen, Xiang Chen, Xu Zhang, Yuwei Chen, Jianyu Wang e Zhongqian Fu. "Comparison of EMG-based and Accelerometer-based Speed Estimation Methods in Pedestrian Dead Reckoning". Journal of Navigation 64, n.º 2 (2 de março de 2011): 265–80. http://dx.doi.org/10.1017/s0373463310000391.
Texto completo da fonteMukhtar Alam, Mohd, e Abid Ali Khan. "Electromyography-based Fatigue Assessment During Endurance Testing by Different Vibration Training Protocols". Iranian Rehabilitation Journal 19, n.º 1 (1 de março de 2021): 85–98. http://dx.doi.org/10.32598/irj.19.1.1150.1.
Texto completo da fonteSoundirarajan, Mirra, Mohammad Hossein Babini, Sue Sim, Visvamba Nathan e Hamidreza Namazi. "Decoding of the Relationship between Brain and Facial Muscle Activities in Response to Dynamic Visual Stimuli". Fluctuation and Noise Letters 19, n.º 04 (23 de junho de 2020): 2050041. http://dx.doi.org/10.1142/s0219477520500418.
Texto completo da fonteDorgham, Osama, Ibrahim Al-Mherat, Jawdat Al-Shaer, Sulieman Bani-Ahmad e Stephen Laycock. "Smart System for Prediction of Accurate Surface Electromyography Signals Using an Artificial Neural Network". Future Internet 11, n.º 1 (21 de janeiro de 2019): 25. http://dx.doi.org/10.3390/fi11010025.
Texto completo da fonteLin, B., S. F. Wong e A. Baca. "Comparison of Different Time-Frequency Analyses Techniques Based on sEMG-Signals in Table Tennis: A Case Study". International Journal of Computer Science in Sport 17, n.º 1 (1 de julho de 2018): 77–93. http://dx.doi.org/10.2478/ijcss-2018-0004.
Texto completo da fontePatel, Shubha V., e S. L. Sunitha. "Analysis of Muscular Paralysis using EMG Signal with Wavelet Decomposition Approach". Asian Journal of Computer Science and Technology 11, n.º 1 (1 de junho de 2022): 5–16. http://dx.doi.org/10.51983/ajcst-2022.11.1.3241.
Texto completo da fonteTahan, Nahid, Amir Massoud Arab, Bita Vaseghi e Khosro Khademi. "Electromyographic Evaluation of Abdominal-Muscle Function With and Without Concomitant Pelvic-Floor-Muscle Contraction". Journal of Sport Rehabilitation 22, n.º 2 (maio de 2013): 108–14. http://dx.doi.org/10.1123/jsr.22.2.108.
Texto completo da fonteRidzuan, Nursyazana, Aizreena Azaman, Soeed K, Izwyn Zulkapri e Asnida Abd Wahab. "Evaluation of muscle fatigue using infrared thermal imaging technique with assisted electromyography". Malaysian Journal of Fundamental and Applied Sciences 13, n.º 4-2 (17 de dezembro de 2017): 509–14. http://dx.doi.org/10.11113/mjfas.v13n4-2.823.
Texto completo da fonteDai, Yangyang, Feng Duan, Fan Feng, Zhe Sun, Yu Zhang, Cesar F. Caiafa, Pere Marti-Puig e Jordi Solé-Casals. "A Fast Approach to Removing Muscle Artifacts for EEG with Signal Serialization Based Ensemble Empirical Mode Decomposition". Entropy 23, n.º 9 (6 de setembro de 2021): 1170. http://dx.doi.org/10.3390/e23091170.
Texto completo da fonteLiu, Shing-Hong, Chuan-Bi Lin, Ying Chen, Wenxi Chen, Tai-Shen Huang e Chi-Yueh Hsu. "An EMG Patch for the Real-Time Monitoring of Muscle-Fatigue Conditions During Exercise". Sensors 19, n.º 14 (14 de julho de 2019): 3108. http://dx.doi.org/10.3390/s19143108.
Texto completo da fonteZhang, Gong. "Detection and Extraction of Surface EMG Signal Based on Action Potential Sequence". Applied Mechanics and Materials 608-609 (outubro de 2014): 216–20. http://dx.doi.org/10.4028/www.scientific.net/amm.608-609.216.
Texto completo da fonteBilyy, R. I. "Review of research towards the myoelectric method of controlling bionic prosthesis". Optoelectronic Information-Power Technologies 46, n.º 2 (13 de dezembro de 2023): 142–49. http://dx.doi.org/10.31649/1681-7893-2023-46-2-142-149.
Texto completo da fonteAljobouri, Hadeel K. "A Virtual EMG Signal Control and Analysis for Optimal Hardware Design". International Journal of Online and Biomedical Engineering (iJOE) 18, n.º 02 (16 de fevereiro de 2022): 154–66. http://dx.doi.org/10.3991/ijoe.v18i02.27047.
Texto completo da fonteSangaboina, Swathi. "IOT Enabled Wearable Gloves with SEMG Subsystem with Posture Analysis". International Journal for Research in Applied Science and Engineering Technology 9, n.º 9 (30 de setembro de 2021): 1690–95. http://dx.doi.org/10.22214/ijraset.2021.38236.
Texto completo da fonteArunganseh, K., S. Sivakumaran, S. Kumaravel e P. A. Karthick. "ANALYSIS OF CORTICOMUSCULAR COHERENCE BETWEEN CORTICAL AND LOWER LIMB MUSCLE ACTIVITIES". Biomedical Sciences Instrumentation 57, n.º 3 (15 de julho de 2021): 378–85. http://dx.doi.org/10.34107/eoov1225.07378.
Texto completo da fonteBabu, R. Dhanush, Mahesh Veezhinathan, Dhanalakshmi Munirathnam e V. Aishwarya. "Generation of Pulse Sequence Using EMG Signals for Application in Transfemoral Prosthesis". IOP Conference Series: Materials Science and Engineering 1272, n.º 1 (1 de dezembro de 2022): 012013. http://dx.doi.org/10.1088/1757-899x/1272/1/012013.
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