A Combination Solution for Sleep Apnea and Heart Rate Detection Based on Accelerometer Tracking

摘要

In this paper, we propose a combined solution to collect and detect both the heart rate and the obstruction sleep apnea using only vibration signals measured at the patient's neck. Our proposed wearable device can capture vibration signals caused by the respiratory activities and the blood flows in the common carotid artery (CCA) and the internal jugular vein (IJV) on the patient's neck area during sleeping. The data are sent to a server via WIFI connection and stored in a database for further analysis. Our system is accurate and low-cost for capturing the signals and monitoring many patients simultaneously. Moreover, the paper approach also goes deeper into signal processing by using a combination of the Savitzky-Golay filter, a lowpass filter, peak detecting and clustering techniques to extract the heart rate from the vibration of the carotid artery and the jugular. We also propose an algorithm for detecting the apnea state of a monitored patient using the bispectral analysis. In our initial experiments, the proposed algorithms obtain positive achievements.