Personal fitting procedure for cycle ergometer workload control by artificial neural networks

Author

Kiryu, T. ; Shibai, K. ; Hayashi, Y. ; Tanaka, K.

Author_Institution

Graduated Sch. of Sci. & Technol., Niigata Univ., Japan

Volume

1

fYear

2002

fDate

2002

Firstpage

38

Abstract

The Internet technology was introduced to provide on-demand support for fitting the cycle ergometer workload personally depending on each individual´s physical work capacity. It was useful to combine the ratings of perceived exertion (RPE) with objective physiological indices during the exercise. We estimated the RPE from objective indices (i.e., muscular fatigue-related indices and the heart rate), using a feed-forward type artificial neural network. Interpreting the estimation errors was useful to design an appropriate workload for an individual elderly person.

Keywords

Internet; biomechanics; ergonomics; geriatrics; medical control systems; neural nets; sport; artificial neural network; cycle ergometer workload control; heart rate; individual elderly person; muscular fatigue-related indices; objective indices; perceived exertion; personal fitting procedure; Artificial neural networks; Communication system control; Fatigue; Heart rate; Internet; Life estimation; Medical control systems; Monitoring; Muscles; Senior citizens;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint

ISSN

1094-687X

Print_ISBN

0-7803-7612-9

Type

conf

DOI

10.1109/IEMBS.2002.1134376

Filename

1134376