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Wavelet Coherence Detects Non-autonomic Heart Rate Fluctuations in Familial Amyloidotic Polyneuropathy
Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine.
2007 (English)In: 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, ISSN 1557-170X, Vol. 1, p. 4660-4662Article in journal, Meeting abstract (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2007. Vol. 1, p. 4660-4662
National Category
Radiology, Nuclear Medicine and Medical Imaging Cardiology and Cardiovascular Disease
Identifiers
URN: urn:nbn:se:umu:diva-6851DOI: 10.1109/IEMBS.2007.4353379ISI: 000253467003221PubMedID: 18003045OAI: oai:DiVA.org:umu-6851DiVA, id: diva2:146521
Conference
29th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society, Lyon, France, AUG 22-26 2007.
Available from: 2008-01-15 Created: 2008-01-15 Last updated: 2025-02-10Bibliographically approved

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Östlund, NilsSuhr, Ole BWiklund, Urban

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