A Naturalistic Human Interface for Chronic Disease Monitoring
The goal of this study is to provide a new design of naturalistic human interface of electrophysiological data acquisition for out-of-hospital chronic disease monitoring. The traditional ECG/EEG devices can acquire good signals but it is not convenient for long-term monitoring. The wearable electronics provide an alternative way but suffer from severe motion artifacts during daily activities. In this paper, we first investigates the mechanism of motion artifacts in wearable electrodes and provide a mitigation solution. In addition, we convert this harmful phenomenon to energy harvesting.