Mobile Heart Monitoring System Prototype Based on the Texas Instruments Hardware: Energy Efficiency and J-point Detection

Introduction

Nowadays heart disease is an important medical and social problem, the leading reason of human death and physical dysfunction. Modern trends in the heart diagnostics are mobility, wearable devices, ease of use and user-friendly interface.

Currently, portable systems for disease diagnosis and monitoring of human functional state are becoming more common. The market is growing due to increasing demand for information technologies in medicine and the policy of many countries of strengthening the health of their population.

Wearable devices of control and diagnostics of cardiovascular system are the leaders among popular medical devices. “This technology for improving public awareness of health metrics and for the early diagnosis of cardiac symptoms is quite promising” (Bruining, Caiani, Chronaki et al., 2014, p. 12). Modern technologies allow to design and develop a miniature wearable device for recording of functional state parameters of the person. For their work it is necessary to improve the classical tools and the algorithms for registration and processing of ECG, because work in free movement conditions is characterized by high noise level and smaller number of measurement channels, therefore it requires more energy efficiency.

One of the unsolved problems of modern health care is the risk of sudden cardiac death. This risk affects both the elderly people with known heart disease, and young people who have no idea about their health problems. To reduce the risk of sudden cardiac death it is necessary to improve portable systems recording and processing of ECG, both in hardware and software by improving the methods and means of processing, applying them in free movement conditions. Portable computing devices, such as smartphones or tablets, could increase the effectiveness of heart monitoring (Reyss & Balandin, 2010). The fundamentals of proposed solutions are given in (Kuzmin, Safronov, Bodin et al., 2016).

That is why the improvement of portable systems for ECG monitoring is an actual scientific task. This task is complex and it involves hardware engineering, software development, algorithms, experimental studies etc. Two basic aspects that are chosen for current research are:

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  Energy Effectiveness: The ability to monitor ECG in free movement conditions for a long time without battery recharge and the ways and limits of its improvement;

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  Cardiac Cycle Analysis: The ability to detect dangerous heart conditions autonomously using mobile software.

State Of The Art

A lot of modern solutions for mobile heart monitoring could be used under free movement conditions. Some of them are described below.

AliveCor’s Kardia Mobile is a modern device used to measure the heart rate and cardiac rhythm (AliveCor, 2016). It is used for recording, storing and transmitting data. The device connects to any portable computer with iOS or Android. It is automatically turned on and connected with AliveCor’s application via wireless connection. It informs the user with valuable information of the heart rate that could be used for the early detection of arrhythmia.

With all the advantages – ease of use and accessibility for users, the device has significant drawbacks. First of all, this a short time of ECG records, which does not allow a full diagnosis of the heart condition. ECG analysis is available in clinical version only. It checks only one standard allocation that imposes restrictions on the use of the device in free movement conditions.

AliveCor monitor is also used as a platform for some third-party projects. For example, CardiaCare is an application for visualizing a cardiogram on the screen of the smartphone and detecting arrhythmias (CardiaCare, 2012).

Metria Wearable Sensor is a wearable device for heart activity monitoring, sensor of some valuable parameters (Metria Wearable Sensor, 2016). The device has a small thickness, making it suitable to be worn during normal daily activities: walking, showering, exercise, etc. The device collects a variety of information about the patient, ranging from heart rate and breathing and ending with the sleep time and the activity level.

As the device detects the parameters of the user, the data is wirelessly transmitted to a computer and analyzed. The program processes the information, identifies current trends, simplifying the work of medical professionals.