Detection of atrial fibrillation episodes using a wristband device

Objective: Undiagnosed atrial fibrillation (AF) patients are at high risk of cardioembolic stroke or other complications. The aim of this study was to analyze the blood volume pulse (BVP) signals obtained from a wristband device and develop an algorithm for discriminating AF from normal sinus rhythm...

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Bibliographic Details
Published in:Physiological measurement 2017-05, Vol.38 (5), p.787-799
Main Authors: Corino, Valentina D A, Laureanti, Rita, Ferranti, Lorenzo, Scarpini, Giorgio, Lombardi, Federico, Mainardi, Luca T
Format: Article
Language:English
Subjects:
Adult
Aged
Aged, 80 and over
atrial fibrillation
Atrial Fibrillation - diagnosis
Atrial Fibrillation - physiopathology
Blood Volume
Case-Control Studies
Female
Humans
irregularity
Male
Middle Aged
Photoplethysmography - instrumentation
rhythm classification
Signal Processing, Computer-Assisted
variability
wave similarity
Wearable Electronic Devices
Wrist
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Summary:Objective: Undiagnosed atrial fibrillation (AF) patients are at high risk of cardioembolic stroke or other complications. The aim of this study was to analyze the blood volume pulse (BVP) signals obtained from a wristband device and develop an algorithm for discriminating AF from normal sinus rhythm (NSR) or from other arrhythmias (ARR). Approach: Thirty patients with AF, 9 with ARR and 31 in NSR were included in the study. The recordings were obtained at rest from Empatica E4 wristband device and lasted 10 min. The analysis, on a 2 min segment, included spectral, variability and irregularity analysis performed on the inter-diastolic interval series, and similarity analysis performed on the BVP signal. Main results and Significance: Variability parameters were the highest in AF, the lowest in NSR and intermediate for ARR, as an example pNN50 values were, respectively, 81±8, 20±5, 55±27 (p  
ISSN:0967-3334
1361-6579
DOI:10.1088/1361-6579/aa5dd7