Diagnosis of ischemia by continuous ECG-monitoring

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationComputers in Cardiology
PublisherPubl by IEEE
Number of pages4
ISBN (Print)0818622253
StatePublished - May 1 1991
Externally publishedYes
EventComputers in Cardiology - Proceedings - Chicago, IL, USA
Duration: Sep 23 1990Sep 26 1990

Publication series

NameComputers in Cardiology
ISSN (Print)0276-6574


OtherComputers in Cardiology - Proceedings
CityChicago, IL, USA

ASJC Scopus subject areas

  • Computer Science Applications
  • Cardiology and Cardiovascular Medicine

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