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

K. Han, J. H. Nagel, Barry Hurwitz, Neil Schneiderman

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

8 Citations (Scopus)

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
Title of host publicationProceedings of the Annual Conference on Engineering in Medicine and Biology
Place of PublicationPiscataway, NJ, United States
PublisherPubl by IEEE
Pages660-661
Number of pages2
Volume13
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

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

Fingerprint

Adaptive filtering
Decomposition

ASJC Scopus subject areas

  • Bioengineering

Cite this

Han, K., Nagel, J. H., Hurwitz, B., & Schneiderman, N. (1991). Decomposition of heart rate variability by adaptive filtering for estimation of cardiac vagal tone. In Proceedings of the Annual Conference on Engineering in Medicine and Biology (pt 2 ed., Vol. 13, pp. 660-661). Piscataway, NJ, United States: Publ by IEEE.

Decomposition of heart rate variability by adaptive filtering for estimation of cardiac vagal tone. / Han, K.; Nagel, J. H.; Hurwitz, Barry; Schneiderman, Neil.

Proceedings of the Annual Conference on Engineering in Medicine and Biology. Vol. 13 pt 2. ed. Piscataway, NJ, United States : Publ by IEEE, 1991. p. 660-661.

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

Han, K, Nagel, JH, Hurwitz, B & Schneiderman, N 1991, Decomposition of heart rate variability by adaptive filtering for estimation of cardiac vagal tone. in Proceedings of the Annual Conference on Engineering in Medicine and Biology. pt 2 edn, vol. 13, Publ by IEEE, Piscataway, NJ, United States, pp. 660-661, Proceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, FL, USA, 10/31/91.
Han K, Nagel JH, Hurwitz B, Schneiderman N. Decomposition of heart rate variability by adaptive filtering for estimation of cardiac vagal tone. In Proceedings of the Annual Conference on Engineering in Medicine and Biology. pt 2 ed. Vol. 13. Piscataway, NJ, United States: Publ by IEEE. 1991. p. 660-661
Han, K. ; Nagel, J. H. ; Hurwitz, Barry ; Schneiderman, Neil. / Decomposition of heart rate variability by adaptive filtering for estimation of cardiac vagal tone. Proceedings of the Annual Conference on Engineering in Medicine and Biology. Vol. 13 pt 2. ed. Piscataway, NJ, United States : Publ by IEEE, 1991. pp. 660-661
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