Title :
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
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;
Conference_Titel :
Computers in Cardiology 1990, Proceedings.
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-2225-3
DOI :
10.1109/CIC.1990.144214
