A method for gait rehabilitation training using EMG fatigue analysis
- Resource Type
- Conference
- Authors
- Kim, Yoo-hyun; Kim, Seo-jun; Shim, Hyeon-min; Lee, Sang-min; Kim, Kyu-sung
- Source
- 2013 International Conference on ICT Convergence (ICTC) ICT Convergence (ICTC), 2013 International Conference on. :52-55 Oct, 2013
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Fields, Waves and Electromagnetics
Power, Energy and Industry Applications
Signal Processing and Analysis
Muscles
Fatigue
Electromyography
Time-frequency analysis
Electrodes
Training
muscle fatigue
median frequency
EMG signal
gait rehabilitation
- Language
- ISSN
- 2162-1233
2162-1241
Although physical exercise of patients is very important for their quality of life, the guide line for physical movement considering muscle fatigue is not insufficient. In this study, we propose an easy detection algorithm for muscle fatigue estimation. EMG signals of five healthy volunteers were measured at the quadriceps femoris muscle and the tibialis anterio in order to estimate muscle fatigue. RMMV (ratio between maximum and minimum value) of median frequency components of EMG is proposed as a muscle fatigue parameter. With our proposed parameter, muscle fatigue state was detected easily. It is expected that our method could be used for a parameter that recommend exercise intensity during gait rehabilitation.