Analysis of heart rate variability
| dc.contributor.advisor | Scott-Millar | |
| dc.contributor.advisor | Rob | |
| dc.contributor.author | Donovan, Reece Garethe | |
| dc.date.accessioned | 2026-10-09T08:35:56Z | |
| dc.date.available | 2026-10-09T08:35:56Z | |
| dc.date.issued | 1997 | |
| dc.date.updated | 2026-10-09T08:33:19Z | |
| dc.description.abstract | Instantaneous heart rate is the reciprocal of the time interval between adjacent QRS complexes in the ECG signal. Heart rate variability analysis is the study of changes in instantaneous heart rate over time. Decreased heart rate variability has been shown to be a powerful predictor of sudden cardiac death syndrome and is also associated with a variety of both pathologic and non-pathologic conditions. A comprehensive literature survey was conducted on the physiological aspects of heart rate control and the techniques used for generating and analysing the heart rate variability signal. Four ECG databases were created from appropriately selected Holter ECG recordings. A computer-based heart rate variability analysis system was then developed. This accepts both single and dual channel ECG signals for processing. The system allows for review and correction of the processed signal. A number of analysis techniques were selected from the literature and implemented. These include time domain measures (mean, standard deviation, SDANN, SDANNi, variance, rMSSD, pNN50 and coefficient of variation), frequency domain techniques (Fourier and auto-regressive modelling for power spectral analysis) and non-linear analytic techniques (histogram, return maps, recurrent plot analysis). The system was calibrated to ensure correct operation. A pilot study was performed to check the QRS detection module. The overall sensitivity results indicate a 99.14 % detection success and a 1.36 % detection failure. The system developed provides a platform for clinical studies of heart rate variability. | |
| dc.identifier.apacitation | Donovan, R. G. (1997). <i>Analysis of heart rate variability</i>. (). University of Cape Town ,Faculty of Health Sciences ,Department of Medicine. Retrieved from http://hdl.handle.net/11427/43868 | en_ZA |
| dc.identifier.chicagocitation | Donovan, Reece Garethe. <i>"Analysis of heart rate variability."</i> ., University of Cape Town ,Faculty of Health Sciences ,Department of Medicine, 1997. http://hdl.handle.net/11427/43868 | en_ZA |
| dc.identifier.citation | Donovan, R.G. 1997. Analysis of heart rate variability. . University of Cape Town ,Faculty of Health Sciences ,Department of Medicine. http://hdl.handle.net/11427/43868 | en_ZA |
| dc.identifier.ris | TY - Thesis / Dissertation AU - Donovan, Reece Garethe AB - Instantaneous heart rate is the reciprocal of the time interval between adjacent QRS complexes in the ECG signal. Heart rate variability analysis is the study of changes in instantaneous heart rate over time. Decreased heart rate variability has been shown to be a powerful predictor of sudden cardiac death syndrome and is also associated with a variety of both pathologic and non-pathologic conditions. A comprehensive literature survey was conducted on the physiological aspects of heart rate control and the techniques used for generating and analysing the heart rate variability signal. Four ECG databases were created from appropriately selected Holter ECG recordings. A computer-based heart rate variability analysis system was then developed. This accepts both single and dual channel ECG signals for processing. The system allows for review and correction of the processed signal. A number of analysis techniques were selected from the literature and implemented. These include time domain measures (mean, standard deviation, SDANN, SDANNi, variance, rMSSD, pNN50 and coefficient of variation), frequency domain techniques (Fourier and auto-regressive modelling for power spectral analysis) and non-linear analytic techniques (histogram, return maps, recurrent plot analysis). The system was calibrated to ensure correct operation. A pilot study was performed to check the QRS detection module. The overall sensitivity results indicate a 99.14 % detection success and a 1.36 % detection failure. The system developed provides a platform for clinical studies of heart rate variability. DA - 1997 DB - OpenUCT DP - University of Cape Town KW - heart rate KW - physiology LK - https://open.uct.ac.za PB - University of Cape Town PY - 1997 T1 - Analysis of heart rate variability TI - Analysis of heart rate variability UR - http://hdl.handle.net/11427/43868 ER - | en_ZA |
| dc.identifier.uri | http://hdl.handle.net/11427/43868 | |
| dc.identifier.vancouvercitation | Donovan RG. Analysis of heart rate variability. []. University of Cape Town ,Faculty of Health Sciences ,Department of Medicine, 1997 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/43868 | en_ZA |
| dc.language.iso | en | |
| dc.language.rfc3066 | eng | |
| dc.publisher.department | Department of Medicine | |
| dc.publisher.faculty | Faculty of Health Sciences | |
| dc.publisher.institution | University of Cape Town | |
| dc.subject | heart rate | |
| dc.subject | physiology | |
| dc.title | Analysis of heart rate variability | |
| dc.type | Thesis / Dissertation | |
| dc.type.qualificationlevel | Masters | |
| dc.type.qualificationlevel | MSc |