An Innovative Non-invasive ECG Sensor and Comparison Study with Clinic System

Abstract

A conventional Electrocardiography (ECG) acquisition system uses contact method which requires the electrodes to be in contact with human skin. This study proposes a non-contact sensing platform that can remotely detect the signals in real time. The current sensing system developed in our research was able to detect the ECG signals with an effective distance of 20cm. Digital signal processing algorithms including digital filer, peak identification was developed to decimate the signal noise and compute the period. The heart rate (HR), heart rate variability (HRV), breath frequency can be determined. The performance is compared with conventional ECG system in clinic study. It shows high potential to collect effective information for clinic application.