Cookies disclaimer

I agree Our site saves small pieces of text information (cookies) on your device in order to deliver better content and for statistical purposes. You can disable the usage of cookies by changing the settings of your browser. By browsing our website without changing the browser settings you grant us permission to store that information on your device.

Nowa publikacja: A Mobile Device System for Early Warning of ECG Anomalies

Miło nam poinformować o nowej publikacji członków naszego zespołu:

Adam Szczepański, Khalid Saeed.
A Mobile Device System for Early Warning of ECG Anomalies.
Sensors 14.6 (2014): 11031-11044.

Poniżej prezentujemy abstrakt w języku angielskim.
Więcej informacji o publikacji można odnaleźć tutaj

UWAGA!!! Artykuł jest dostępny w opcji OPEN ACCESS - zachęcamy do pobrania z tej strony.

With the rapid increase in computational power of mobile devices the amount of ambient intelligence-based smart environment systems has increased greatly in recent years. A proposition of such a solution is described in this paper, namely real time monitoring of an electrocardiogram (ECG) signal during everyday activities for identification of life threatening situations. The paper, being both research and review, describes previous work of the authors, current state of the art in the context of the authors’ work and the proposed aforementioned system. Although parts of the solution were described in earlier publications of the authors, the whole concept is presented completely for the first time along with the prototype implementation on mobile device—a Windows 8 tablet with Modern UI. The system has three main purposes. The first goal is the detection of sudden rapid cardiac malfunctions and informing the people in the patient’s surroundings, family and friends and the nearest emergency station about the deteriorating health of the monitored person. The second goal is a monitoring of ECG signals under non-clinical conditions to detect anomalies that are typically not found during diagnostic tests. The third goal is to register and analyze repeatable, long-term disturbances in the regular signal and finding their patterns.

ambient intelligence; ECG anomalies; heart anomaly alert; ECG monitoring for mobile devices

Current rating: 5