DocumentCode
1759589
Title
Design of Pervasive Rehabilitation Monitoring for Chronic Obstructive Pulmonary Disease
Author
Ming-Feng Wu ; Chao-Ling Chen ; Chih-Yu Wen ; Jeng-Yuan Hsu
Author_Institution
Dept. of Electr. Eng., Nat. Chung Hsing Univ., Taichung, Taiwan
Volume
13
Issue
11
fYear
2013
fDate
Nov. 2013
Firstpage
4413
Lastpage
4422
Abstract
Exercise training is a crucial component of pulmonary rehabilitation for patients with chronic obstructive pulmonary disease. With fuzzy logic control and wireless sensor networking, we develop an approach with calibration, rehabilitation, artifact/safety monitoring, and endpoint decision (CRASE) to perform adaptive subject exercise training and monitoring. This paper investigates an exercise training model with overload principle and safety concern. To show the correctness and effectiveness of the proposed protocol, the system performance is examined through case studies, simulation analysis, and prototype implementation. In addition, the performance difference in training-sensitivity zone (%) between the conventional incremental shuttle walking test and the proposed CRASE is presented and discussed. The experimental results show that the proposed CRASE scheme has better capability to adjust the exercise training level and is promising to efficiently put exercise training into practice for home-based rehabilitation.
Keywords
biomedical communication; calibration; diseases; fuzzy control; lung; medical control systems; patient monitoring; patient rehabilitation; wireless sensor networks; CRASE; adaptive subject exercise training; calibration-rehabilitation-artifact/safety monitoring-and endpoint decision; chronic obstructive pulmonary disease; exercise training model; fuzzy logic control; home-based rehabilitation; incremental shuttle walking test; pervasive rehabilitation monitoring; pulmonary rehabilitation; safety concern; simulation analysis; system performance; training-sensitivity zone; wireless sensor networking; Pervasive rehabilitation; chronic obstructive pulmonary disease; fuzzy control; networked sensing;
fLanguage
English
Journal_Title
Sensors Journal, IEEE
Publisher
ieee
ISSN
1530-437X
Type
jour
DOI
10.1109/JSEN.2013.2266913
Filename
6527351
Link To Document