Real time heart ischemia detection in the smart home care system

Beitrag bei einer Tagung
(Konferenzbeitrag)


Details zur Publikation

Autor(en): Pang L, Tchoudovski I, Braecklein M, Egorouchkina K, Kellermann W, Bolz A
Herausgeber: IEEE
Jahr der Veröffentlichung: 2005
Seitenbereich: 3703-3706
ISBN: 9780780387409


Abstract


In this paper, a novel real-time algorithm for detecting ischemia in the ECG signal is proposed. The goal of this research is to meet the requirements of some smart cardiac home care devices, which can automatically diagnose the ECG and detect the heart risks outside the hospital, especially heart ischemia without symptoms in their early stages. The algorithm is developed based on a real time R peak detector, time domain traditional ECG parameters, the advanced morphologic parameters from Karhunen-Loève transform, and the adaptive neurofuzzy logic classification. Besides, in order to improve the reliability of our algorithm, several significant constraints of the ECG signal are considered. As a result, the ischemia episodes can be detected if the ischemic alteration persists longer than one minute in the ECG signal. © 2005 IEEE.



FAU-Autoren / FAU-Herausgeber

Bolz, Armin Prof. Dr.
Technische Fakultät
Kellermann, Walter Prof. Dr.-Ing.
Professur für Nachrichtentechnik


Zitierweisen

APA:
Pang, L., Tchoudovski, I., Braecklein, M., Egorouchkina, K., Kellermann, W., & Bolz, A. (2005). Real time heart ischemia detection in the smart home care system. In IEEE (Eds.), (pp. 3703-3706). Shanghai, CN.

MLA:
Pang, L., et al. "Real time heart ischemia detection in the smart home care system." Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005, Shanghai Ed. IEEE, 2005. 3703-3706.

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Zuletzt aktualisiert 2018-06-08 um 12:08