A Prototype of Intelligent Portable Oxygen Concentrator for Patients with COPD Under Oxygen Therapy

摘要

Traditional long-term oxygen therapy devices used in daily-life activities need to be manually adjusted depending on the level of intensity of the activity done. In this study, a system to automatically control a commercial POC devices is proposed with the aim of improving the used and efficacy of the therapy in patients with chronic obstructive pulmonary disease. A patient unit and a control unit were designed and implemented to control a Inogen G2 oxygen concentrator. The patient unit included an inertial measurement unit to classify in real-time the physical activity performed by the user. The control unit receive via Bluetooth (BLE) the degree of activity and adjusted the oxygen concentrator automatically following the setting provided by clinician. Data from a group of six volunteers were used to train and validated the system using different machine learning algorithms. A logistic regression model (LR) achieved the best accuracy (93.69%) in classifying the physical activity and consequently adjusting correctly the O2 dose. The developed system may improve oxygenation through automatic adaptation to lifestyle, could contribute to improve the patient's therapeutic compliance and may promote physical activity.