Decomposition of heart rate variability by adaptive filtering for estimation of cardiac vagal tone

K. Han, J. H. Nagel, B. E. Hurwitz, N. Schneiderman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

A method of partitioning the HRV (heart rate variability) signal which can provide a quantitative estimate of RSA (respiratory sinus arrhythmia) as well as true heart rate responses without respiratory disturbances for psychological studies is developed. The analysis of HRV signal is performed using an adaptive filtering system. With the simultaneously recorded respiration signal as a reference input, the HRV signal can be separated into two components, RSA and fluctuation due to other influences. After the separation, the variance of RSA, an estimate of cardiac vagal tone, is readily obtained. The performance of the system was evaluated using artificial test signals as well as real HRV data. As a time domain approach, the method is simple, fast, and robust.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual Conference on Engineering in Medicine and Biology
PublisherPubl by IEEE
Pages660-661
Number of pages2
Editionpt 2
ISBN (Print)0780302168
StatePublished - Dec 1 1991
Externally publishedYes
EventProceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Orlando, FL, USA
Duration: Oct 31 1991Nov 3 1991

Publication series

NameProceedings of the Annual Conference on Engineering in Medicine and Biology
Numberpt 2
Volume13
ISSN (Print)0589-1019

Other

OtherProceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CityOrlando, FL, USA
Period10/31/9111/3/91

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Fingerprint

Dive into the research topics of 'Decomposition of heart rate variability by adaptive filtering for estimation of cardiac vagal tone'. Together they form a unique fingerprint.

Cite this