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Detection of abnormal ventricular activation in a coronary care unit

✍ Scribed by Eelco D. Gerlings; Donald L. Bowers; Guus A. Rol


Publisher
Elsevier Science
Year
1972
Tongue
English
Weight
864 KB
Volume
5
Category
Article
ISSN
0010-4809

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✦ Synopsis


A digital computer program is described for the automatic recognition of disturbances in ventricular activation in real time. The ECG waveform is digitized at 500 samples/set and its first derivative is scanned for a number of consecutive points below a preset, adaptive level. This value is stored together with the minimum of the first derivative. The values obtained are compared with the running means of these variables for the predominant complexes, and if either differs more than 25 % the QRS complex is labeled as abnormal. Even in the presence of significant noise, which is so often present in ECG's recorded in a coronary care unit, the algorithm proved to be able to classify the QRS complexes correctly with an error rate not exceeding 3 'A in the seven ECG's tested.


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