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New Concepts for PVC Detection
- Source :
- IEEE Transactions on Biomedical Engineering. :409-416
- Publication Year :
- 1979
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 1979.
-
Abstract
- A new scheme is proposed for the detection of premature ventricular beats, which is a vital function in rhythm monitoring of cardiac patients. A transformation based on the first difference of the digitized electrocardiogram (ECG) signal is developed for the detection and delineation of QRS complexes. The method for classifying the abnormal complexes from the normal ones is based on the concepts of minimum phase and signal length. The parameters of a linear discriminant function obtained from a training feature vector set are used to classify the complexes. Results of application of the scheme to ECG of two arrhythmia patients are presented.
- Subjects :
- Cardiac Complexes, Premature
Computer science
Remote patient monitoring
Feature vector
Biomedical Engineering
Models, Biological
Signal
Pattern Recognition, Automated
Electrocardiography
QRS complex
medicine
Humans
Heart rate variability
cardiovascular diseases
Monitoring, Physiologic
Fibrillation
Signal processing
Premature ventricular beats
medicine.diagnostic_test
Computers
business.industry
Pattern recognition
Linear discriminant analysis
Transformation (function)
cardiovascular system
Artificial intelligence
medicine.symptom
business
Mathematics
Biomedical engineering
Subjects
Details
- ISSN :
- 00189294
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Biomedical Engineering
- Accession number :
- edsair.doi.dedup.....df4320e202d75131802caadb04080bf8
- Full Text :
- https://doi.org/10.1109/tbme.1979.326420