title: Wavelet coherence detects non-autonomic heart rate fluctuations in familial amyloidotic polyneuropathy.
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.
authors.affiliation: Department of Biomedical Engineering & Informatics, University Hospital, Umeå, Sweden. nils.ostlund@vll.se
authors.forename: Nils
authors.initials: N
authors.lastname: Ostlund
authors.forename: Ole B
authors.initials: OB
authors.lastname: Suhr
authors.forename: Urban
authors.initials: U
authors.lastname: Wiklund
mesh_terms: D028227:Amyloid Neuropathies, Familial / Q000503:physiopathology*; D001145:Arrhythmias, Cardiac / Q000503:physiopathology; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D012143:Respiratory Physiological Phenomena