Zeitschriftenartikel zum Thema „Muscle EMG signal“
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Strzecha, Krzysztof, Marek Krakós, Bogusław Więcek, Piotr Chudzik, Karol Tatar, Grzegorz Lisowski, Volodymyr Mosorov und Dominik Sankowski. „Processing of EMG Signals with High Impact of Power Line and Cardiac Interferences“. Applied Sciences 11, Nr. 10 (19.05.2021): 4625. http://dx.doi.org/10.3390/app11104625.
Der volle Inhalt der QuelleArifin, Fatchul, Tri Arief Sardjono und 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, Nr. 05 (26.09.2014): 1450054. http://dx.doi.org/10.4015/s1016237214500549.
Der volle Inhalt der QuelleMerletti, R., B. Indino, T. Graven-Nielsen und D. Farina. „Surface EMG Crosstalk Evaluated from Experimental Recordings and Simulated Signals“. Methods of Information in Medicine 43, Nr. 01 (2004): 30–35. http://dx.doi.org/10.1055/s-0038-1633419.
Der volle Inhalt der QuelleShiao, Yaojung, und Thang Hoang. „Exercise Condition Sensing in Smart Leg Extension Machine“. Sensors 22, Nr. 17 (23.08.2022): 6336. http://dx.doi.org/10.3390/s22176336.
Der volle Inhalt der QuelleNeto, Osmar Pinto, und Evangelos A. Christou. „Rectification of the EMG Signal Impairs the Identification of Oscillatory Input to the Muscle“. Journal of Neurophysiology 103, Nr. 2 (Februar 2010): 1093–103. http://dx.doi.org/10.1152/jn.00792.2009.
Der volle Inhalt der QuelleOjha, Anuj. „An Introduction to Electromyography Signal Processing and Machine Learning for Pattern Recognition: A Brief Overview“. Extensive Reviews 3, Nr. 1 (31.12.2023): 24–37. http://dx.doi.org/10.21467/exr.3.1.8382.
Der volle Inhalt der QuelleHAMZI, Maroua, Mohamed BOUMEHRAZ und Rafia HASSANI. „Flexion Angle Estimation from Single Channel Forearm EMG Signals using Effective Features“. Electrotehnica, Electronica, Automatica 71, Nr. 3 (15.08.2023): 61–68. http://dx.doi.org/10.46904/eea.23.71.3.1108007.
Der volle Inhalt der QuellePratama, Destra Andika, Yeni Irdayanti und Satrio Aditiyas Sukardi. „EMG Signal Analysis on Flexion Extension Movements of The Hand and Leg Using Matlab“. Radiasi : Jurnal Berkala Pendidikan Fisika 16, Nr. 2 (29.09.2023): 61–70. http://dx.doi.org/10.37729/radiasi.v16i2.3373.
Der volle Inhalt der QuelleRusli, Rusli Ully, Ruslan Ruslan, Sarifin G., Arimbi Arimbi und Mariyal Qibtiyah. „Measurement of Medial Head Gastrocnemius Muscle Contraction Strength in Basic Sepak Takraw Techniques Using Electromyogram Signals“. COMPETITOR: Jurnal Pendidikan Kepelatihan Olahraga 15, Nr. 3 (28.10.2023): 683. http://dx.doi.org/10.26858/cjpko.v15i3.53403.
Der volle Inhalt der QuelleLiang, Hongbo, Yingxin Yu, Mika Mochida, Chang Liu, Naoya Ueda, Peirang Li und Chi Zhu. „EEG-Based EMG Estimation of Shoulder Joint for the Power Augmentation System of Upper Limbs“. Symmetry 12, Nr. 11 (10.11.2020): 1851. http://dx.doi.org/10.3390/sym12111851.
Der volle Inhalt der QuelleTanuja Subba, Et al. „A Study on Electromyography Signal as a Controller“. International Journal on Recent and Innovation Trends in Computing and Communication 11, Nr. 9 (13.02.2024): 4662–67. http://dx.doi.org/10.17762/ijritcc.v11i9.10014.
Der volle Inhalt der QuelleSong, Kwangsub, Sangui Choi und Hooman Lee. „Voluntary Muscle Contraction Detection Algorithm Based on LSTM for Muscle Quality Measurement Algorithm“. Applied Sciences 11, Nr. 18 (17.09.2021): 8676. http://dx.doi.org/10.3390/app11188676.
Der volle Inhalt der QuelleCaesaria, Arifah Putri, Endro Yulianto, Sari Luthfiyah, Triwiyanto Triwiyanto und 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, Nr. 1 (30.01.2023): 39–45. http://dx.doi.org/10.35882/jeeemi.v5i1.278.
Der volle Inhalt der QuelleAnas Fouad Ahmed. „A quick survey of filtering techniques for surface electromyography signals“. Global Journal of Engineering and Technology Advances 11, Nr. 3 (30.06.2022): 105–10. http://dx.doi.org/10.30574/gjeta.2022.11.3.0101.
Der volle Inhalt der QuelleJUNG, CHAN YONG, JUN-SIK PARK, YONGHYUN LIM, YOUNG-BEOM KIM, KWAN KYU PARK, JE HEON MOON, JOO-HO SONG und 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, Nr. 05 (August 2018): 1850042. http://dx.doi.org/10.1142/s0219519418500422.
Der volle Inhalt der QuelleMalik Mohd Ali, Abdul, Syed Faiz Ahmed, Athar Ali, M. Kamran Joyo, Kushairy A. Kadir und Radzi Ambar. „EMG-Based Spasticity Robotic Arm Forupper Arm Fatigue Identification“. International Journal of Engineering & Technology 7, Nr. 2.34 (08.06.2018): 79. http://dx.doi.org/10.14419/ijet.v7i2.34.13917.
Der volle Inhalt der QuelleLima Alberton, Cristine, Stephanie Santana Pinto, Natália Amélia da Silva Azenha, Eduardo Lusa Cadore, Marcus Peikriszwili Tartaruga, Bruno Brasil und Luiz Fernando Martins Kruel. „Kinesiological Analysis of Stationary Running Performed in Aquatic and Dry Land Environments“. Journal of Human Kinetics 49, Nr. 1 (01.12.2015): 5–14. http://dx.doi.org/10.1515/hukin-2015-0103.
Der volle Inhalt der QuelleFauzi, Muhammad, Endro Yulianto, Bambang Guruh Irianto, Sari Luthfiyah, Triwiyanto Triwiyanto, Vishwajeet Shankhwar und 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, Nr. 3 (23.08.2022): 114–22. http://dx.doi.org/10.35882/ijeeemi.v4i3.240.
Der volle Inhalt der QuellePrasad, V. V. K. D. V., B. Nagasirisha, Joycy Y. Janitha, Naik R. Venkatesh, Naga Sai B. Lalithadithya und 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, Nr. 2 (2024): 19. http://dx.doi.org/10.26634/jele.14.2.20585.
Der volle Inhalt der QuelleHuang, Q. H., Y. P. Zheng, X. Chena, J. F. He und J. Shi. „A System for the Synchronized Recording of Sonomyography, Electromyography and Joint Angle“. Open Biomedical Engineering Journal 1, Nr. 1 (11.12.2007): 77–84. http://dx.doi.org/10.2174/1874120700701010077.
Der volle Inhalt der QuelleTSUJI, TOSHIO, NAN BU, JUN ARITA und MAKOTO OHGA. „A SPEECH SYNTHESIZER USING FACIAL EMG SIGNALS“. International Journal of Computational Intelligence and Applications 07, Nr. 01 (März 2008): 1–15. http://dx.doi.org/10.1142/s1469026808002119.
Der volle Inhalt der QuelleQassim, Hassan M., Wan Zuha Wan Hasan, Hafiz R. Ramli, Hazreen Haizi Harith, Liyana Najwa Inche Mat und Luthffi Idzhar Ismail. „Proposed Fatigue Index for the Objective Detection of Muscle Fatigue Using Surface Electromyography and a Double-Step Binary Classifier“. Sensors 22, Nr. 5 (28.02.2022): 1900. http://dx.doi.org/10.3390/s22051900.
Der volle Inhalt der QuelleTriwiyanto, Triwiyanto, Triana Rahmawati, I. Putu Alit Pawana und 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 (28.03.2022): 71–80. http://dx.doi.org/10.4028/p-y7g473.
Der volle Inhalt der QuelleSarangi, Animesh, Bal Gopal Mishra und Satyabhama Dash. „Singular Spectrum Analysis Based EMG Artifact Removal from ECG Signal“. YMER Digital 21, Nr. 08 (11.08.2022): 400–407. http://dx.doi.org/10.37896/ymer21.08/36.
Der volle Inhalt der QuelleKEERATIHATTAYAKORN, Saran, und 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.
Der volle Inhalt der QuelleGAO, YONGSHENG, SHENGXIN WANG, FEIYUN XIAO und JIE ZHAO. „AN ANGLE-EMG BIOMECHANICAL MODEL OF THE HUMAN ELBOW JOINT“. Journal of Mechanics in Medicine and Biology 16, Nr. 06 (September 2016): 1650078. http://dx.doi.org/10.1142/s0219519416500780.
Der volle Inhalt der QuelleSadikoglu, Fahreddin, Cemal Kavalcioglu und 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.
Der volle Inhalt der QuellePutra, Darma Setiawan, und Yuril Umbu WW. „Feature Extraction of Facial Electromyograph (EMG) Signal for Aceh Languages Speech using Discrete Wavelet Transform (DWT)“. Jurnal Inotera 4, Nr. 1 (10.07.2019): 31. http://dx.doi.org/10.31572/inotera.vol4.iss1.2019.id73.
Der volle Inhalt der QuelleIsezaki, Takashi, Hideki Kadone, Arinobu Niijima, Ryosuke Aoki, Tomoki Watanabe , Toshitaka Kimura und Kenji Suzuki. „Sock-Type Wearable Sensor for Estimating Lower Leg Muscle Activity Using Distal EMG Signals“. Sensors 19, Nr. 8 (25.04.2019): 1954. http://dx.doi.org/10.3390/s19081954.
Der volle Inhalt der QuelleKamal, Shahul Mujib, Sue Sim, Rui Tee, Visvamba Nathan und Hamidreza Namazi. „Complexity-Based Analysis of the Relation between Human Muscle Reaction and Walking Path“. Fluctuation and Noise Letters 19, Nr. 03 (28.01.2020): 2050025. http://dx.doi.org/10.1142/s021947752050025x.
Der volle Inhalt der QuelleDeslivia, Maria, Hyun-Joo Lee, Rizki Zulkarnain, Bin Zhu, Arnold Adikrishna, In-ho Jeon und Keehoon Kim. „The Effect of Split Nerve on Electromyography Signal Pattern in a Rat Model“. Journal of Reconstructive Microsurgery 34, Nr. 02 (26.09.2017): 095–102. http://dx.doi.org/10.1055/s-0037-1606539.
Der volle Inhalt der QuelleJeon, Bu Il, Byung Jun Kang, Hyun Chan Cho und Jongwon Kim. „Motion Recognition and an Accuracy Comparison of Left and Right Arms by EEG Signal Analysis“. Applied Sciences 9, Nr. 22 (14.11.2019): 4885. http://dx.doi.org/10.3390/app9224885.
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 QuelleChen, Wei, Ruizhi Chen, Xiang Chen, Xu Zhang, Yuwei Chen, Jianyu Wang und Zhongqian Fu. „Comparison of EMG-based and Accelerometer-based Speed Estimation Methods in Pedestrian Dead Reckoning“. Journal of Navigation 64, Nr. 2 (02.03.2011): 265–80. http://dx.doi.org/10.1017/s0373463310000391.
Der volle Inhalt der QuelleMukhtar Alam, Mohd, und Abid Ali Khan. „Electromyography-based Fatigue Assessment During Endurance Testing by Different Vibration Training Protocols“. Iranian Rehabilitation Journal 19, Nr. 1 (01.03.2021): 85–98. http://dx.doi.org/10.32598/irj.19.1.1150.1.
Der volle Inhalt der QuelleSoundirarajan, Mirra, Mohammad Hossein Babini, Sue Sim, Visvamba Nathan und Hamidreza Namazi. „Decoding of the Relationship between Brain and Facial Muscle Activities in Response to Dynamic Visual Stimuli“. Fluctuation and Noise Letters 19, Nr. 04 (23.06.2020): 2050041. http://dx.doi.org/10.1142/s0219477520500418.
Der volle Inhalt der QuelleDorgham, Osama, Ibrahim Al-Mherat, Jawdat Al-Shaer, Sulieman Bani-Ahmad und Stephen Laycock. „Smart System for Prediction of Accurate Surface Electromyography Signals Using an Artificial Neural Network“. Future Internet 11, Nr. 1 (21.01.2019): 25. http://dx.doi.org/10.3390/fi11010025.
Der volle Inhalt der QuelleLin, B., S. F. Wong und 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, Nr. 1 (01.07.2018): 77–93. http://dx.doi.org/10.2478/ijcss-2018-0004.
Der volle Inhalt der QuellePatel, Shubha V., und S. L. Sunitha. „Analysis of Muscular Paralysis using EMG Signal with Wavelet Decomposition Approach“. Asian Journal of Computer Science and Technology 11, Nr. 1 (01.06.2022): 5–16. http://dx.doi.org/10.51983/ajcst-2022.11.1.3241.
Der volle Inhalt der QuelleTahan, Nahid, Amir Massoud Arab, Bita Vaseghi und Khosro Khademi. „Electromyographic Evaluation of Abdominal-Muscle Function With and Without Concomitant Pelvic-Floor-Muscle Contraction“. Journal of Sport Rehabilitation 22, Nr. 2 (Mai 2013): 108–14. http://dx.doi.org/10.1123/jsr.22.2.108.
Der volle Inhalt der QuelleRidzuan, Nursyazana, Aizreena Azaman, Soeed K, Izwyn Zulkapri und Asnida Abd Wahab. „Evaluation of muscle fatigue using infrared thermal imaging technique with assisted electromyography“. Malaysian Journal of Fundamental and Applied Sciences 13, Nr. 4-2 (17.12.2017): 509–14. http://dx.doi.org/10.11113/mjfas.v13n4-2.823.
Der volle Inhalt der QuelleDai, Yangyang, Feng Duan, Fan Feng, Zhe Sun, Yu Zhang, Cesar F. Caiafa, Pere Marti-Puig und Jordi Solé-Casals. „A Fast Approach to Removing Muscle Artifacts for EEG with Signal Serialization Based Ensemble Empirical Mode Decomposition“. Entropy 23, Nr. 9 (06.09.2021): 1170. http://dx.doi.org/10.3390/e23091170.
Der volle Inhalt der QuelleLiu, Shing-Hong, Chuan-Bi Lin, Ying Chen, Wenxi Chen, Tai-Shen Huang und Chi-Yueh Hsu. „An EMG Patch for the Real-Time Monitoring of Muscle-Fatigue Conditions During Exercise“. Sensors 19, Nr. 14 (14.07.2019): 3108. http://dx.doi.org/10.3390/s19143108.
Der volle Inhalt der QuelleZhang, Gong. „Detection and Extraction of Surface EMG Signal Based on Action Potential Sequence“. Applied Mechanics and Materials 608-609 (Oktober 2014): 216–20. http://dx.doi.org/10.4028/www.scientific.net/amm.608-609.216.
Der volle Inhalt der QuelleBilyy, R. I. „Review of research towards the myoelectric method of controlling bionic prosthesis“. Optoelectronic Information-Power Technologies 46, Nr. 2 (13.12.2023): 142–49. http://dx.doi.org/10.31649/1681-7893-2023-46-2-142-149.
Der volle Inhalt der QuelleAljobouri, Hadeel K. „A Virtual EMG Signal Control and Analysis for Optimal Hardware Design“. International Journal of Online and Biomedical Engineering (iJOE) 18, Nr. 02 (16.02.2022): 154–66. http://dx.doi.org/10.3991/ijoe.v18i02.27047.
Der volle Inhalt der QuelleSangaboina, Swathi. „IOT Enabled Wearable Gloves with SEMG Subsystem with Posture Analysis“. International Journal for Research in Applied Science and Engineering Technology 9, Nr. 9 (30.09.2021): 1690–95. http://dx.doi.org/10.22214/ijraset.2021.38236.
Der volle Inhalt der QuelleArunganseh, K., S. Sivakumaran, S. Kumaravel und P. A. Karthick. „ANALYSIS OF CORTICOMUSCULAR COHERENCE BETWEEN CORTICAL AND LOWER LIMB MUSCLE ACTIVITIES“. Biomedical Sciences Instrumentation 57, Nr. 3 (15.07.2021): 378–85. http://dx.doi.org/10.34107/eoov1225.07378.
Der volle Inhalt der QuelleBabu, R. Dhanush, Mahesh Veezhinathan, Dhanalakshmi Munirathnam und V. Aishwarya. „Generation of Pulse Sequence Using EMG Signals for Application in Transfemoral Prosthesis“. IOP Conference Series: Materials Science and Engineering 1272, Nr. 1 (01.12.2022): 012013. http://dx.doi.org/10.1088/1757-899x/1272/1/012013.
Der volle Inhalt der QuelleSatti, Afraiz Tariq, Jiyoun Kim, Eunsurk Yi, Hwi-young Cho und Sungbo Cho. „Microneedle Array Electrode-Based Wearable EMG System for Detection of Driver Drowsiness through Steering Wheel Grip“. Sensors 21, Nr. 15 (27.07.2021): 5091. http://dx.doi.org/10.3390/s21155091.
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