Title :
Fatigue assessment during exercise using myoelectric signals and heart rate variability
Author :
Kiryu, T. ; Ushiyam, Yukihiko ; Tan, Kiyoji ; Okada, Morihiko
Author_Institution :
Graduate Sch. of Sci. & Technol., Niigata Univ., Japan
Abstract :
A practical fatigue assessment during repetitive long-term exercise is presented by using myoelectric (ME) signals and heart rate variability (HRV). We developed a radio-controlled remote data acquisition system and used a correlation coefficient of ME parameters and a ratio of dominant frequency components in HRV. We showed the applications to skiing exercise and cycle ergometer exercise
Keywords :
biomechanics; electrocardiography; electromyography; medical signal processing; principal component analysis; spectral analysis; time series; PCA; autonomic nervous activity; correlation coefficient; cycle ergometer exercise; dominant frequency components; fatigue assessment; heart rate variability; muscular fatigue; myoelectric signals; radio-controlled remote DAQ system; repetitive long-term exercise; skiing exercise; spectral analysis; time series; Data acquisition; Electrocardiography; Electrodes; Fatigue; Frequency; Heart rate variability; Java; Muscles; Pollution measurement; Radio control;
Conference_Titel :
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-6465-1
DOI :
10.1109/IEMBS.2000.900459
