An on-line ischemia monitoring algorithm for mobile devices

Author

Dranca, L. ; Goni, A. ; Rodríguez, J. ; Burgos, A. ; Illarramendi, A.

Author_Institution

Univ. of the Basque Country, San Sebastian

fYear

2005

fDate

25-28 Sept. 2005

Firstpage

861

Lastpage

864

Abstract

The early diagnosis of ischemic events may prevent irreversible damage to the heart muscle. Mobile devices like PDAs provided with wireless communication links are being used successfully in order to build on line monitoring systems. The aim of this paper is to show an ischemia classifier with high rates of sensitivity and positive predictivity and also able to run in real time that can be implemented on a mobile device like a PDA. The LTST database (43 recordings version) has been used to develop and validate the results of the classifier, considering the ischemic and heart rate related events together. The sensitivity of the classifier is 80.65% for episodes annotated according to C protocol and the positive predictivity is 73.11% for episodes annotated according to A protocol in the LTST database

Keywords

diseases; electrocardiography; medical diagnostic computing; medical signal processing; muscle; notebook computers; patient monitoring; signal classification; A protocol; C protocol; ECG signal analysis; LTST database; PDA; heart muscle; heart rate related events; ischemia classifier; mobile devices; myocardial ischemia diagnosis; on-line ischemia monitoring algorithm; transient ischemia detection algorithm; wireless communication links; Databases; Electrocardiography; Event detection; Ischemic pain; Mobile computing; Monitoring; Myocardium; Personal digital assistants; Protocols; Signal analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology, 2005

Conference_Location

Lyon

Print_ISBN

0-7803-9337-6

Type

conf

DOI

10.1109/CIC.2005.1588241

Filename

1588241