Title :
Fatigue compensation of the electromyographic signal for prosthetic control and force estimation
Author :
Park, Euljoon ; Meek, Sanford G.
Author_Institution :
Dept. of Anesthesiology, Bioengineering Lab., Salt Lake City, UT, USA
Abstract :
During a sustained muscle contraction, the amplitude of electromyographic (EMG) signals increases and the spectrum of the EMG signal shifts toward lower frequencies. These effects are due to muscular fatigue and can cause problems in the control of myoelectric prostheses and in the estimation of contraction level from the EMG signal. It has been well known that the fatigue effects can be explained by the conduction velocity changes during the fatigue process and by the idea that the conduction velocity is linearly proportional to the median frequency of EMG signals. Hence the fatigue process can be monitored by measuring the median frequency. A fatigue compensation preprocessor has been developed. It uses the widely accepted power spectrum density model of EMG signals that contains the conduction velocity as a measure of fatigue. It was verified that the preprocessor scales down the amplitude of the fatigued EMG signal and decompresses the spectrum. Hence, the preprocessor eliminates the increase in amplitude and the shift in frequency and enables consistent EMG signals to be used to control prostheses.
Keywords :
artificial limbs; bioelectric potentials; biomechanics; medical signal processing; muscle; EMG median frequency; EMG signal spectrum; contraction level; electromyographic signal; fatigue compensation; fatigue compensation preprocessor; force estimation; prosthetic control; sustained muscle contraction; Density measurement; Electromyography; Fatigue; Force control; Frequency measurement; Life estimation; Monitoring; Muscles; Prosthetics; Signal processing; Artificial Limbs; Electromyography; Humans; Models, Biological; Muscle Contraction;
Journal_Title :
Biomedical Engineering, IEEE Transactions on