Design scheme of low power mobile ECG monitoring system based on Android

1 Introduction

With the continuous development of information technology and medical level and the continuous improvement of people's living standards, more and more people have put forward higher requirements for personal and family health care, hoping to keep abreast of their physical health, and Find illnesses and solve problems as soon as possible. At present, the traditional Holter system is bulky and the inconvenience of use is also inconvenient for people's daily use. Therefore, using the latest wireless sensor network and microprocessor technology, a mobile ECG information acquisition and monitoring system with long-term online and wireless mobile monitoring capability is designed to have high practical value and market potential.

This paper designs and develops a wireless sensor ECG information monitoring system by studying the main characteristics of human ECG signals and the actual monitoring application requirements. The system collects and processes ECG signals through smart electrodes embedded in underwear. The ECG data is sent to the Android intelligent monitoring terminal for storage, management and analysis of the received data through the Bluetooth wireless data network that has become the standard for mobile devices.

2. The overall structure of the system design

The overall structural block diagram of the system is shown in Figure 1. It includes an ECG lead embedded in the underwear, a smart electrode signal processing circuit module, and an intelligent Android terminal application equipped with Bluetooth. The smart electrode signal processing module includes an analog signal conditioning circuit and a microprocessor. The circuit and the wireless Bluetooth network module and the body temperature sensor and the blood oxygen probe can be extended on the module to extend the life health monitoring parameters.

Structure diagram

The system first sends the ECG signal collected by the lead electrode embedded in the underwear to the signal processing circuit module in the smart electrode, and is filtered and amplified by the analog signal conditioning circuit.

After the signal is conditioned, it is sent to the main control microprocessor for analysis and preprocessing via A/D conversion. Then, the wireless Bluetooth network is sent to the intelligent Android terminal application equipped with Bluetooth through the wireless channel for diagnostic analysis and monitoring display. When an anomaly is found, the terminal application issues an alert and can send the results to the telehealth via the mobile internet.

Since the analog signal conditioning circuit in the smart electrode is not the part of the system design, this paper mainly introduces the data analysis preprocessing, wireless Bluetooth communication and Android terminal application design.

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