ECG Monitoring System For Heart Rate Variability Analysis

Marcel Stanciu, Daniela Faur, Anatolie Boev
Abstract:
A method to analyse HRV (heart rate variability) using an ECG monitoring system is presented. Variations in heart rate may be evaluated by a number of methods. The current methodologies used to analyse HRV are based largely on linear techniques to analyse ‘past’ and ‘present’ electrocardiogram (ECG) data in time and frequency domains. For conventional time domain analysis, the variability in the R-R interval time series derived from an ECG recording is statistically summarised using conveniently calculated measures such as SDNN (standard deviation of time interval between consecutive R peaks) and RMSSD (root-mean square of the difference between two adjacent R-R intervals). Depending on the length of the analysed ECG recording, which may vary from a few minutes to 24 hours, and the choice of the time domain measure, both short-term and long-term HRV can be quantified and characterised.
Download:
IMEKO-TC4-2007-169.pdf
DOI:
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Event details
IMEKO TC:
TC4
Event name:
TC4 Symposium 2007
Title:
XVth IMEKO TC4 International Symposium on Novelties in Electrical Measurements and Instrumentation (together with 12th IMEKO TC4 Workshop on ADC Modelling and Testing)
Place:
Iasi, ROMANIA
Time:
19 September 2007 - 21 September 2007