Title :
Smart-Phone Based Automatic Arrhythmia Detection and Diagnosis
Author :
Zhong, Lisha ; Guo, Xingming ; Chen, LiShan
Author_Institution :
Coll. of Bioeng., Chongqing Univ., Chongqing, China
Abstract :
This paper developed a smart-phone based platform for automatically arrhythmia detection and diagnosis. The algorithm and user interface have been implemented on a smart-phone with ARM Hi3611 processor running at 480MHz and simulations show that the accuracy of R-peak detection is higher than 95%. The results of ECG detection and alarm information can be sent to the tele-monitoring center through GPRS. Smart-phone based platform would show the waves of ECG and diagnose arrhythmia symptoms automatically in real-time.
Keywords :
alarm systems; electrocardiography; telemedicine; ARM Hi3611 processor; ECG detection; R-peak detection; alarm information; arrhythmia diagnosis; smart-phone based automatic arrhythmia detection; telemonitoring center; Accuracy; Electrocardiography; Monitoring; Telemedicine; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5088-6
DOI :
10.1109/icbbe.2011.5781656
