Abstract
Patients with Chronic Obstructive Pulmonary Disease (COPD) are advised to perform pulmonary rehabilitation exercises regularly to help manage their long-term condition. This paper describes a home-based pulmonary rehabilitation system comprising of the Respeck respiratory and physical activity monitor and a mobile App. The Respeck is a wireless sensor device worn as a plaster on the chest that monitors continuously the respiratory rate (breaths/minute) and respiratory effort/flow, and the intensity of physical activity during the rehabilitation exercises. A pulmonary rehabilitation application on the mobile device orchestrates the daily pulmonary rehabilitation exercises and harvests the respiratory and physical activity data during the exercises for onward transmission to the server for storage and analysis. This paper describes the design of an end-to-end system for guided self-management. A method is described for relating the Respeck respiratory data to the self-administered COPD Assessment Test (CAT) score reflecting the individual’s self-assessment of their condition.KeywordsWearable sensorsWireless respiratory monitoringHome-based pulmonary rehabilitationMachine learning
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