DocumentCode
1560101
Title
Providing appropriate exercise levels for the elderly
Author
Kiryu, Tohru ; Sasaki, Isao ; Shibai, Keisuke ; Tanaka, Kiyoji
Author_Institution
Graduate Sch. of Sci. & Technol., Niigata Univ., Japan
Volume
20
Issue
6
fYear
2001
Firstpage
116
Lastpage
124
Abstract
We propose a unique fuzzy system design for adjusting the cycle ergometer work-load to each individual´s physical work capacity. We observed the physical work capacity by measuring the heart rate and a muscular-fatigue-related index. A set of fuzzy membership functions was determined for three different phases during a trial of exercise with a progressively increasing workload. Since the available objective data was limited in describing changes in physical activities, the fuzzy rules for workload control were designed to reflect the different types and different time-scales of physical information. We examined 18 elderly people and periodically redesigned die fuzzy inference for eight selected persons over a seven-month period.
Keywords
biocontrol; cardiology; electromyography; fuzzy control; geriatrics; health care; inference mechanisms; medical expert systems; active array electrode; appropriate exercise levels; artifact-free recording; cardiorespiratory function; correlation coefficient; cycle ergometer workload; dynamic movements; elderly people; fuzzy inference; fuzzy membership functions; fuzzy system design; heart rate; multichannel recordings; muscle activity; muscular-fatigue-related index; myoelectric signals; physical work capacity; time-varying behavior; workload control; Blood pressure; Cardiovascular system; Fatigue; Feedback; Frequency; Fuzzy systems; Heart rate; Information analysis; Principal component analysis; Senior citizens; Aged; Algorithms; Electromyography; Equipment Design; Exercise Test; Exercise Therapy; Exercise Tolerance; Feasibility Studies; Feedback; Female; Fuzzy Logic; Heart Rate; Humans; Leg; Male; Middle Aged; Models, Biological; Muscle Fatigue; Muscle, Skeletal; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Workload;
fLanguage
English
Journal_Title
Engineering in Medicine and Biology Magazine, IEEE
Publisher
ieee
ISSN
0739-5175
Type
jour
DOI
10.1109/51.982283
Filename
982283
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