DocumentCode :
1823291
Title :
Real-Time Monitoring and Detection of "Heart Attack" Using Wireless Sensor Networks
Author :
Kappiarukudil, Kala John ; Ramesh, Maneesha Vinodini
Author_Institution :
Amrita Centre for Wireless Networks & Applic., Amrita Vishwa Vidyapeetham (Amrita Univ.), Coimbatore, India
fYear :
2010
fDate :
18-25 July 2010
Firstpage :
632
Lastpage :
636
Abstract :
The main purpose of this research work is to develop a wireless sensor network system that can continuously monitor and detect cardiovascular disease experienced in patients at remote areas. A wearable wireless sensor system (WWSS) is designed to continuously capture and transmit the ECG signals to the patient´s mobile phone. The fastest alert will be issued to doctors, relatives, and hospitals, using the proposed data processing algorithm implemented in the patients mobile phone. The complete data from WWSS will also be transmitted to a central station, which provides a service to the doctor to view his patient´s record and provide his prescription remotely, on his request. A heterogeneous wireless network design is also proposed for the continuous transmission from WWSS to a Central Data Center (CDC). The proposed system is integrated with a dynamic data collection algorithm that collects the ECG signals at regular intervals, according to the health risk perceived in each patient. Employment of this system will contribute in reducing heart diseases, leading to death of a patient, and also act as an effective health care service to patients in rural area. This continuous monitoring system will provide effective, efficient, and fast health care service to patients at risk, even if the doctor, relatives are not near the patient and also during the non availability of the cellular network.
Keywords :
diseases; electrocardiography; health care; medical signal processing; mobile computing; mobile radio; patient monitoring; telemedicine; wearable computers; wireless sensor networks; ECG signal; cardiovascular disease; central data center; data processing algorithm; dynamic data collection algorithm; health care service; health risk; heart attack detection; heart disease; heterogeneous wireless network design; mobile phone; patient; real-time monitoring; remote area; wearable wireless sensor system; Biomedical monitoring; Electrocardiography; Medical services; Monitoring; Real time systems; Wireless networks; Wireless sensor networks; cardiovascular disease; cellular network; heart attack; real-time monitoring; wireless sensor network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensor Technologies and Applications (SENSORCOMM), 2010 Fourth International Conference on
Conference_Location :
Venice
Print_ISBN :
978-1-4244-7538-4
Type :
conf
DOI :
10.1109/SENSORCOMM.2010.99
Filename :
5558100
Link To Document :
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