The design and use of a microcomputerized real-time muscle fatigue monitor based on the medical frequency shift in the electromyographic signal
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering
Link
http://xplorestaging.ieee.org/ielx5/10/592/00016476.pdf?arnumber=16476
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1. Calibration and Adjustment Algorithm to Attenuate the Effect of Arm Orientation on an sEMG-Based Muscle Fatigue Indicator;IEEE Sensors Journal;2022-10-01
2. Assessment of Muscle Fatigue During The Walk on a Treadmill in Healthy Subjects Based on Median Frequency of Surface Electromyogram;2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON);2022-06-14
3. A Real-Time Algorithm to Estimate Shoulder Muscle Fatigue Based on Surface EMG Signal For Static and Dynamic Upper Limb Tasks;2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2021-11-01
4. A Quality of Experience Model for Haptic Virtual Environments;ACM Transactions on Multimedia Computing, Communications, and Applications;2014-04
5. Toward a Mathematical Model for Quality of Experience Evaluation of Haptic Applications;IEEE Transactions on Instrumentation and Measurement;2013-12
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