Research Article
A Novel Shuttle Walking Model Using Networked Sensing and Control for Chronic Obstructive Pulmonary Disease: A Preliminary Study
@INPROCEEDINGS{10.4108/icst.pervasivehealth.2012.248596, author={Chih-Yu Wen and Ming-Feng Wu}, title={A Novel Shuttle Walking Model Using Networked Sensing and Control for Chronic Obstructive Pulmonary Disease: A Preliminary Study}, proceedings={6th International Conference on Pervasive Computing Technologies for Healthcare}, publisher={IEEE}, proceedings_a={PERVASIVEHEALTH}, year={2012}, month={7}, keywords={pulmonary rehabilitation; chronic obstructive pulmonary disease; fuzzy control; wireless sensor networking}, doi={10.4108/icst.pervasivehealth.2012.248596} }- Chih-Yu Wen
Ming-Feng Wu
Year: 2012
A Novel Shuttle Walking Model Using Networked Sensing and Control for Chronic Obstructive Pulmonary Disease: A Preliminary Study
PERVASIVEHEALTH
ICST
DOI: 10.4108/icst.pervasivehealth.2012.248596
Abstract
Exercise training is a crucial component of pulmonary rehabilitation for patients with chronic obstructive pulmonary disease (COPD). Based on 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 preliminary study investigates an exercise training model with overload principle and safety concern. The experimental results show that the proposed CRASE scheme is promising to efficiently put exercise training into practice for home-based rehabilitation.
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