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Vector-Based Analysis of the Similarity Between Breathing and Heart Rate During Paced Deep Breathing
Umeå University, Faculty of Medicine, Department of Radiation Sciences.ORCID iD: 0000-0002-1313-0934
2018 (English)In: 2018 Computing in Cardiology Conference (CinC), IEEE, 2018, article id 8743692Conference paper, Published paper (Refereed)
Abstract [en]

The heart rate (HR) response to paced deep breathing (DB) is a common test of autonomic function, where the scoring is based on indices reflecting the overall heart rate variability (HRV), where high scores are considered as normal findings but can also reflect arrhythmias. This study presents a method based on hyperdimensional computing for assessment of the similarity between feature vectors derived from the HR and breathing signals. The proposed method was used to identify subjects where HR did not follow the paced breathing pattern in recordings from DB tests in 174 healthy subjects and 135 patients with cardiac autonomic neuropathy. Subjects were classified in 4 similarity classes, where the lowest similiarity class included 35 patients and 3 controls. In general, the autonomic function cannot be evaluated in subjects in the lowest similarity class if they also present with high HRV scores, since this combination is a strong indicator of the presence of arrhythmias. Thus, the proposed vector-based similarity analysis is one tool to identify subjects with high HRV but low cardiorespiratory synchronization during the DB test, which falsely can be interpreted as normal autonomic function.

Place, publisher, year, edition, pages
IEEE, 2018. article id 8743692
Series
Computing in Cardiology Conference, ISSN 2325-8861
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:umu:diva-166999DOI: 10.22489/CinC.2018.146ISI: 000482598700029Scopus ID: 2-s2.0-85068788179ISBN: 978-1-7281-0958-9 (print)OAI: oai:DiVA.org:umu-166999DiVA, id: diva2:1385159
Conference
45th Computing in Cardiology Conference (CinC), SEP 23-26, 2018, Maastricht, NETHERLANDS
Available from: 2020-01-13 Created: 2020-01-13 Last updated: 2020-01-13Bibliographically approved

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CiteExportLink to record
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