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 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.

COPD (Chronic Obstructive Pulmonary Disease), Home-Based Cardiopulmonary Rehabilitation, Internet of Things