Wavelet Coherence Detects Non-autonomic Heart Rate Fluctuations in Familial Amyloidotic Polyneuropathy

Author

Ostlund, N. ; Suhr, O.B. ; Wiklund, U.

Author_Institution

Univ. Hosp., Umea

fYear

2007

fDate

22-26 Aug. 2007

Firstpage

4660

Lastpage

4662

Abstract

Heart rate variability (HRV) is often used to study disturbances in the autonomic nervous system. Respiratory related HRV is seen as an indicator of a working autonomic mechanism. However, sometimes a high HRV may be caused by non-autonomic mechanisms. This study investigated if the wavelet coherence could be used to study respiratory related fluctuations in heart rate. The wavelet coherence method was applied to two Familial amyloidotic polyneuropathy patients and one healthy control. The results showed that wavelet coherence is a promising method for studying respiratory related fluctuations in heart rate.

Keywords

diseases; electrocardiography; fluctuations; medical signal detection; neurophysiology; pneumodynamics; spectral analysis; wavelet transforms; ECG; autonomic nervous system disturbances; familial amyloidotic polyneuropathy patients; healthy control subject; heart rate variability; nonautonomic heart rate fluctuations detection; respiratory related HRV; respiratory related fluctuations; wavelet coherence method; Autonomic nervous system; Coherence; Fluctuations; Frequency; Heart rate; Heart rate detection; Heart rate variability; Hospitals; Signal analysis; Wavelet analysis; Amyloid Neuropathies, Familial; Arrhythmias, Cardiac; Heart Rate; Humans; Respiratory Physiological Phenomena;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE

Conference_Location

Lyon

ISSN

1557-170X

Print_ISBN

978-1-4244-0787-3

Type

conf

DOI

10.1109/IEMBS.2007.4353379

Filename

4353379