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Comparative Evaluation of Consumer Wearable Devices for Atrial Fibrillation Detection: Validation Study.
JMIR Form Res
January 2025
Limburg Clinical Research Center/Mobile Health Unit, Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium.
Background: Consumer-oriented wearable devices (CWDs) such as smartphones and smartwatches have gained prominence for their ability to detect atrial fibrillation (AF) through proprietary algorithms using electrocardiography or photoplethysmography (PPG)-based digital recordings. Despite numerous individual validation studies, a direct comparison of interdevice performance is lacking.
Objective: This study aimed to evaluate and compare the ability of CWDs to distinguish between sinus rhythm and AF.
Allergic rhinitis may attenuate the sympathovagal imbalances in patients with severe obstructive sleep apnea: pilot study using a heart rate variability analysis.
Sleep Breath
January 2025
Departments of Otolaryngology, Kangwon National University College of Medicine, Kangwon National University Hospital, 156, Baengnyeong-ro, Chuncheon-Si, Gangwon-Do, Chuncheon, 24289, Republic of Korea.
Purpose: The effect of allergic rhinitis (AR) on autonomic nervous system in patients with obstructive sleep apnea (OSA) remains unclear. We utilized heart rate variability (HRV) analysis to assess cardiac autonomic activity in patients with OSA, comparing those with and without allergic rhinitis (AR).
Methods: We enrolled 182 patients who visited our sleep clinic complaining of habitual snoring or apnea during sleep.
The Role of Machine Learning in the Detection of Cardiac Fibrosis in Electrocardiograms: Scoping Review.
JMIR Cardio
December 2024
School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada.
Background: Cardiovascular disease remains the leading cause of mortality worldwide. Cardiac fibrosis impacts the underlying pathophysiology of many cardiovascular diseases by altering structural integrity and impairing electrical conduction. Identifying cardiac fibrosis is essential for the prognosis and management of cardiovascular disease; however, current diagnostic methods face challenges due to invasiveness, cost, and inaccessibility.
View Article and Find Full Text PDFLieRHRV system for remote lie detection using heart rate variability parameters.
Sci Rep
December 2024
Laboratory of Bioelectric and Bioenergetic Systems, Faculty of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa, Israel.
The standard polygraph, or lie detector, is limited by its reliance on average heart rate, subjective examiner interpretation, and the need for direct subject contact. Remote photoplethysmography (rPPG) offers a promising contactless alternative, by using facial videos to extract heart rate variability (HRV). We introduce "LieRHRV," a remote lie detection algorithm based solely on extracted HRV parameters.
View Article and Find Full Text PDFDiagnostic Blind Spot: Physicians Overlook Atrial Fibrillation in Pacemaker-Dependent Patients.
Pacing Clin Electrophysiol
January 2025
Department of Cardiology, Lady Davis Carmel Medical Center, Haifa, Israel.
Background: Pacemaker recipients demonstrate a higher prevalence of atrial fibrillation (AF), yet the regular ventricular activation in pacemaker-dependent patients with AF presents a substantial diagnostic challenge.
Methods: A total of 310 medical practitioners completed a brief, validated survey consisting of three electrocardiograms displaying AF with ventricular pacing. Participants were instructed to identify the underlying rhythm.
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