Abstract

In this paper, we present a wireless Multiple Smart Sensor System (MSSS) in conjunction with a smartphone to enable an unobtrusive monitoring of electrocardiogram (ear-lead ECG) integrated with multiple sensor system which includes core body temperature and blood oxygen saturation (SpO2) for ambulatory patients. The proposed behind-the-ear device makes the system desirable to measure ECG data: technically less complex, physically attached to non-hair regions, hence more suitable for long term use, and user friendly as no need to undress the top garment. The proposed smart sensor device is similar to the hearing aid device and is wirelessly connected to a smartphone for physiological data transmission and displaying. This device not only gives access to the core temperature and ECG from the ear, but also the device can be controlled (removed and reapplied) by the patient at any time, thus increasing the usability of personal healthcare applications. A number of combination ECG electrodes, which are based on the area of the electrode and dry/non-dry nature of the surface of the electrodes are tested at various locations near behind the ear. The best ECG electrode is then chosen based on the Signal-to-Noise Ratio (SNR) of the measured ECG signals. These electrodes showed acceptable SNR ratio of ~20 db, which is comparable with existing tradition ECG electrodes. The developed ECG electrode systems is then integrated with commercially available PPG sensor (Amperor pulse oximeter) and core body temperature sensor (MLX90614) using a specialized micro controller (Arduino UNO) and the results monitored using a newly developed smartphone (android) application.

Highlights

  • The rapid growth of wireless technologies brings new innovative ideas that enables continuous real-time remote patient monitoring in healthcare services using compact wireless body sensors

  • We examine a continuous, wearable and wireless critical-sign patient monitoring system which was focused on integrating ECG sensors placed behind the ear; core body temperature (CBT) sensor placed in the ear; and PPG sensor clipped on the finger

  • Ear-lead ECG monitoring was compared to conventional chest-lead model and different scenarios were analysed as changing positions of ECG electrodes on the body to clearly see which scenario gives the best Signal-toNoise Ratio (SNR) and least noise

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Summary

Introduction

The rapid growth of wireless technologies brings new innovative ideas that enables continuous real-time remote patient monitoring in healthcare services using compact wireless body sensors. New trend in remote patient monitoring is moving toward the use of personal mobile devices compatible with multiple biomedical sensors using wireless communication, such as Bluetooth and Zigbee [1]. This recent mobile health (m-Health) technology enables to see the people’s daily activity in their smartphones. These mobile-based portable embedded devices will provide platforms to monitor their critical physiological data continuously and remotely. M-Health applications could save €99 billion in healthcare costs in the EU and add €93 billion to the EU GDP in 2017, if its adoption is encouraged [2]

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