Diagnosis of ischemia by continuous ECG-monitoring

Author

Engel, D. ; Silny, J. ; Rau, G. ; Rubart, M. ; Hanrath, P.

Author_Institution

Helmholtz Inst. for Biomed. Eng., Aachen, Germany

fYear

1990

fDate

23-26 Sep 1990

Firstpage

275

Lastpage

278

Abstract

New methods for signal processing in online electrocardiogram (ECG) monitoring have been developed, which allow ECG-monitoring in spite of the frequent noise signals and motion artifacts. The signal processing includes: a filter for suppression of line interference without distorting the ECG; QRS detection that separates primary ventricular beats and normal QRS complexes and that is insensitive against noise signals; and noise detection, which detects motion artifacts and excludes the disturbed ECG intervals from evaluation. The signal processing methods have been implemented in an ECG-monitoring system. It was successfully used in 15 patients after thrombolysis and 20 patients with instable angina pectoris in order to diagnose an occurring ischemia as fast as possible

Keywords

cardiology; electrocardiography; patient diagnosis; patient monitoring; QRS detection; continuous ECG-monitoring; instable angina pectoris; ischemia; motion artifacts; noise signals; patient diagnostics; primary ventricular beats; thrombolysis; Arteries; Biomedical signal processing; Electrocardiography; Filters; Interference suppression; Ischemic pain; Motion detection; Muscles; Patient monitoring; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology 1990, Proceedings.

Conference_Location

Chicago, IL

Print_ISBN

0-8186-2225-3

Type

conf

DOI

10.1109/CIC.1990.144214

Filename

144214