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

Volume

3

fYear

2000

fDate

2000

Firstpage

1889

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1094-687X

Print_ISBN

0-7803-6465-1

Type

conf

DOI

10.1109/IEMBS.2000.900459

Filename

900459