A feature-based processing framework for real-time implementation of muscle fatigue measurement

2022 ◽  
Author(s):  
P. González-Zamora ◽  
Victor H. Benitez ◽  
Jesus Pacheco
Keyword(s):  
Muscle Fatigue ◽  
Real Time ◽  
Feature Based ◽  
Fatigue Measurement ◽  
Processing Framework

scholarly journals Electrical stimulator with mechanomyography-based real-time monitoring, muscle fatigue detection, and safety shut-off: a pilot study

2020 ◽  
Vol 65 (4) ◽  
pp. 461-468
Author(s):  
Jannatul Naeem ◽  
Nur Azah Hamzaid ◽  
Amelia Wong Azman ◽  
Manfred Bijak
Keyword(s):  
Muscle Fatigue ◽  
Real Time ◽  
Isometric Force ◽  
Mean Square ◽  
Clear Indication ◽  
Initial Value ◽  
Cord Injury ◽  
The Mean ◽  
Electrical Stimulator ◽  
Fatigue Detection

AbstractFunctional electrical stimulation (FES) has been used to produce force-related activities on the paralyzed muscle among spinal cord injury (SCI) individuals. Early muscle fatigue is an issue in all FES applications. If not properly monitored, overstimulation can occur, which can lead to muscle damage. A real-time mechanomyography (MMG)-based FES system was implemented on the quadriceps muscles of three individuals with SCI to generate an isometric force on both legs. Three threshold drop levels of MMG-root mean square (MMG-RMS) feature (thr50, thr60, and thr70; representing 50%, 60%, and 70% drop from initial MMG-RMS values, respectively) were used to terminate the stimulation session. The mean stimulation time increased when the MMG-RMS drop threshold increased (thr50: 22.7 s, thr60: 25.7 s, and thr70: 27.3 s), indicating longer sessions when lower performance drop was allowed. Moreover, at thr70, the torque dropped below 50% from the initial value in 14 trials, more than at thr50 and thr60. This is a clear indication of muscle fatigue detection using the MMG-RMS value. The stimulation time at thr70 was significantly longer (p = 0.013) than that at thr50. The results demonstrated that a real-time MMG-based FES monitoring system has the potential to prevent the onset of critical muscle fatigue in individuals with SCI in prolonged FES sessions.

Real-time processing framework of common-aperture active and passive hyperspectral 3D imaging

2021 ◽  
Vol 50 (2) ◽  
pp. 20200249-20200249
Author(s):  
贺文静 Wenjing He ◽  
胡坚 Jian Hu ◽  
陈育伟 Yuwei Chen ◽  
潘苗苗 Miaomiao Pan ◽  
朱运维 Yunwei Zhu ◽  
...  
Keyword(s):  
Real Time ◽  
3D Imaging ◽  
Real Time Processing ◽  
Time Processing ◽  
Processing Framework

scholarly journals Real Time Data Processing Framework

2015 ◽  
Vol 5 (5) ◽  
pp. 49-63 ◽  
Author(s):  
Karan Patel ◽  
Yash Sakaria ◽  
Chetashri Bhadane
Keyword(s):  
Data Processing ◽  
Real Time ◽  
Time Data ◽  
Real Time Data ◽  
Real Time Data Processing ◽  
Processing Framework

scholarly journals Multi-Stage Real-Time Identification for Data Stream Events With Drift Feature Based on DTW

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 89188-89204
Author(s):  
Junlu Wang ◽  
Chengfeng Liu ◽  
Linlin Ding ◽  
Hao Luo ◽  
Baoyan Song
Keyword(s):  
Real Time ◽  
Data Stream ◽  
Multi Stage ◽  
Feature Based ◽  
Real Time Identification
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