Hilbert transform processing of electrocardiograms

Bolton, Ronald James (1984). Hilbert transform processing of electrocardiograms PhD Thesis, School of Computer Science and Electrical Engineering, The University of Queensland. doi:10.14264/uql.2014.586

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Author Bolton, Ronald James
Thesis Title Hilbert transform processing of electrocardiograms
School, Centre or Institute School of Computer Science and Electrical Engineering
Institution The University of Queensland
DOI 10.14264/uql.2014.586
Publication date 1984
Thesis type PhD Thesis
Supervisor L. C. Westphal
Total pages 293
Language eng
Subjects 080110 Simulation and Modelling
110201 Cardiology (incl. Cardiovascular Diseases)
010207 Theoretical and Applied Mechanics
Formatted abstract
The use of the Discrete Hilbert Transform (DHT) in the area of Electrocardiogram (EGG) analysis is investigated. It is shown that by using DHT processing, time alignment of individual heart-beats is not necessary, thus allowing the use of a pattern recognition method previously untried in EGG processing. It is possible to perform morphological recognition by mapping the Hilbert Transformed EGG into a two dimensional recognition matrix and achieve abnormality discrimination by applying a generalised form of the method of modified potential functions in association with a Bhattacharyya distance measure. Other topics examined include the mathematics and implementation of a Hilbert Transformer, display of ECGs, especially P- and T-wave enhancements, QRS detection and waveform delineation, and abnormality recognition (both morphology end rhythms). A suggested clinical system that consists of a 16-bit microprocessor host system capable of basic EGG processing, data storage, and report generation is outlined. The EGG processing subsystem is comprised of a hardware module using bit-slice components to accomplish the DHT and auxiliary filtering, and a custom VLSI I.C. to perform the morphological recognition. Experimental results are included in addition to a brief history of EGG computer systems, techniques , and traditional pattern recognition approaches.
Keyword Electrocardiography -- Mathematical models

Document type: Thesis
Collection: UQ Theses (RHD) - UQ staff and students only
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