Determination of Fatigue Following Maximal Loaded Treadmill Exercise by Using Wavelet Packet Transform Analysis and MLPNN from MMG-EMG Data Combinations-Reference-Cited by-同舟云学术

Determination of Fatigue Following Maximal Loaded Treadmill Exercise by Using Wavelet Packet Transform Analysis and MLPNN from MMG-EMG Data Combinations

Published:2015-08-15 Issue:10 Volume:39 Page:
ISSN:0148-5598
Container-title:Journal of Medical Systems
language:en
Short-container-title:J Med Syst

Author:

Bilgin Gürkan,Hindistan İ. Ethem,Özkaya Y. Gül,Köklükaya Etem,Polat Övünç,Çolak Ömer H.

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1007/s10916-015-0304-5.pdf

Reference40 articles.

1. Comi, G., Leocani, L., Rossi, P., and Colombo, B., Physiopathology and treatment of fatigue in multiple sclerosis. J. Neurol. 248:174–179, 2001.

2. Latash, M. L., Yee, M. J., Orpett, C., Slingo, A., and Nicholas, J. J., Combining electrical muscle stimulation with voluntary contraction for studying muscle fatique. Arch. Phys. Med. Rehabil. 75:29–35, 1994.

3. Chaudhuri, A., and Behan, P. O., Fatigue and basal ganglia. J. Neurol. Sci. 179:34–42, 2000.

4. Chaudhuri, A., Behan, P. O.; “Fatigue in neurological disorders”. Lancet., 2004, 978–988.

5. Mathur, S., Eng, J. J., and MacIntyre, D. L., Reliability of surface EMG during sustained contractions of the quadriceps. J. Electromyogr. Kinesiol. 15:102–110, 2005.

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Wireless 2-Channel Layered EMG/NIRS Sensor System for Local Muscular Activity Evaluation;Sensors;2023-10-11

2. Small Data, Big Challenges: Pitfalls and Strategies for Machine Learning in Fatigue Detection;Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments;2023-07-05

3. A Wireless Multi-Layered EMG/MMG/NIRS Sensor for Muscular Activity Evaluation;Sensors;2023-01-31

4. Simultaneous electro / mechano / impedance myographic measurement of muscle activity;2022 14th International Conference on Advanced Semiconductor Devices and Microsystems (ASDAM);2022-10-23

5. Application of Surface Electromyography in Exercise Fatigue: A Review;Frontiers in Systems Neuroscience;2022-08-11