A Multi-sensor based Method for Self-isolated Patient Monitoring

COVID-19 and other highly transmissible respiratory infections are considerable challenges to all countries' health and medical systems. Due to the virus cross-infection and limited medical and healthcare resources, many countries have encountered difficulties in bearing or dealing with this situation. Fortunately, the vast majority of positive patients are asymptomatic or show mild symptoms, so it is necessary to carry out isolation staying home and basically monitor their disease's progress to detect potential worsening signs promptly. According to the above issues, this work provides an effective solution by proposing a remote telehealth monitoring approach for infected subjects in self-isolation that is based on a multi-sensor fusion method. In this approach, we use a radar sensor to monitor basic activities and breathing patterns; we also obtain patient's blood oxygen saturation and heartbeat information through a smart wrist bracelet. Experimental results show that our method is practical and feasible for monitoring subjects in a self-isolated environment.