A Self-Test to Detect a Heart Attack Using a Mobile Phone and Wearable Sensors

Abstract

This paper describes a heart attack self-test application for a mobile phone which allows potential victims of a heart attack to quickly assess whether they are having a heart attack without the intervention of a medical specialist. Heart attacks can occur anytime, anyplace. Using pervasive technology such as a mobile phone and a small wearable ECG sensor it is possible to collect the user's symptoms and to detect the onset of a heart attack by analysing the ECG recordings. If the application assesses that the user is at risk, it will urge the user to call the emergency service immediately. If the user has a cardiac arrest the application will automatically determine the current location of the user and alert the ambulance services and others to the person's location.

Sensing as a Service: Challenges, Solutions and Future Directions

“…The measured blood glucose could be transmitted directly to the web. Leijdekkers and Gay [20], developed a heart attack self-test system. In this system, electrocardiogram sensors are wirelessly connected with a mobile phone, which can collect a mobile user's symptoms and send them to a mobile phone application.…”

“…However, these existing systems have the following problems: 1) Most existing mobile phone sensing systems, such as systems presented in [6], [13], [18], [20], [22], [27], [29], [30], [35], [41] target a particular sensing application. Therefore, there is a large overhead for developing and maintaining such a special-purpose system.…”

Wearable Wireless Health Monitoring: Current Developments, Challenges, and Future Trends

“…Artificial neural network-based machine-learning schemes are used to adapt to the individual user's physiological conditions to result in a more accurate classification of ECG patterns. A heart attack self-test application was developed and implemented on a personal healthmonitoring system in [42]. The application consists of a conventional mobile phone and a Bluetooth-enabled ECG sensor.…”

Smart textiles for wearable sensor networks: Review and early lessons

“…The evidence for beneficial applications of wearable computing can be found in many different fields, such as medicine [1] from early detection [2][3] [4] [5] to treatment [6] [7], care for the elderly [8] [9][10] and frail [11], exercise [12][13] [14], mental health [15], entertainment [16] [17] and potentially many others.…”