Investigation of the minimum conditions for reliable estimation of clinically relevant HRV measures introducing a novel approach to the validation of HRV measurement systems
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Investigation of the minimum conditions for reliable estimation of clinically relevant HRV measures introducing a novel approach to the validation of HRV measurement systems. / Ahrens, Esben; Sorensen, Helge B.D.; Langberg, Henning; Hoppe, Karsten; Saadi, Dorthe Bodholt.
CARDIOTECHNIX 2015 - Proceedings of the 3rd International Congress on Cardiovascular Technologies. SCITEPRESS (Science and Technology Publications, Lda.), 2015. s. 30-38.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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TY - GEN
T1 - Investigation of the minimum conditions for reliable estimation of clinically relevant HRV measures introducing a novel approach to the validation of HRV measurement systems
AU - Ahrens, Esben
AU - Sorensen, Helge B.D.
AU - Langberg, Henning
AU - Hoppe, Karsten
AU - Saadi, Dorthe Bodholt
PY - 2015/1/1
Y1 - 2015/1/1
N2 - The R-peak localization error (jitter) of a heart rate variability (HRV) system has a great impact on the values of the HRV measures. Only a few studies have analyzed this subject and purely done so from the aspect of choice of sampling frequency. In this study we provide an overview of the various factors that comprise the jitter of a system. We propose a method inspired by the field of signal averaged electrocardiography (SAECG) that allows for a quantification of the jitter of any HRV system that records and stores the raw ECG signal. Furthermore, with this method the differences between the HRV measures of the system and HRV measures corresponding to the physiological truth can be quantified. The method is used to obtain the physiologically true R-peak locations of subjects from Physionet's 'Normal Sinus Rhythm Database'. The effects of jitter are then analyzed via mathematical modelling for short-term and long-term HRV for various HRV measures. The effects of abnormal beats and missed and false detections are analyzed as well.
AB - The R-peak localization error (jitter) of a heart rate variability (HRV) system has a great impact on the values of the HRV measures. Only a few studies have analyzed this subject and purely done so from the aspect of choice of sampling frequency. In this study we provide an overview of the various factors that comprise the jitter of a system. We propose a method inspired by the field of signal averaged electrocardiography (SAECG) that allows for a quantification of the jitter of any HRV system that records and stores the raw ECG signal. Furthermore, with this method the differences between the HRV measures of the system and HRV measures corresponding to the physiological truth can be quantified. The method is used to obtain the physiologically true R-peak locations of subjects from Physionet's 'Normal Sinus Rhythm Database'. The effects of jitter are then analyzed via mathematical modelling for short-term and long-term HRV for various HRV measures. The effects of abnormal beats and missed and false detections are analyzed as well.
KW - Ectopic beat
KW - Heart rate variability
KW - Jitter
UR - http://www.scopus.com/inward/record.url?scp=84960943533&partnerID=8YFLogxK
M3 - Article in proceedings
AN - SCOPUS:84960943533
SP - 30
EP - 38
BT - CARDIOTECHNIX 2015 - Proceedings of the 3rd International Congress on Cardiovascular Technologies
PB - SCITEPRESS (Science and Technology Publications, Lda.)
T2 - 3rd International Congress on Cardiovascular Technologies, CARDIOTECHNIX 2015
Y2 - 16 November 2015 through 17 November 2015
ER -
ID: 199387763