Literature DB >> 29856730

Monitoring of heart rate and inter-beat intervals with wrist plethysmography in patients with atrial fibrillation.

Jarkko Harju1, Adrian Tarniceriu, Jakub Parak, Antti Vehkaoja, Arvi Yli-Hankala, Ilkka Korhonen.   

Abstract

OBJECTIVE: Atrial fibrillation (AF) causes marked risk for patients, while silent fibrillation may remain unnoticed if not suspected and screened. Development of comfortable yet accurate beat-to-beat heart rate (HR) monitoring with good AF detection sensitivity would facilitate screening and improve treatment. The purpose of this study was to evaluate whether a wrist-worn photoplethysmography (PPG) device can be used to monitor beat-to-beat HR accurately during post-operative treatment in patients suffering from AF and whether wrist-PPG can be used to distinguish AF from sinus rhythm (SR). APPROACH: Twenty-nine patients (14 with AF, 15 with SR, mean age 71.5 years) with multiple comorbidities were monitored during routine post-operative treatment. The monitoring included standard ECG, finger PPG monitoring and a wrist-worn PPG monitor with green and infrared light sources. The HR from PPG sensors was compared against ECG-derived HR. MAIN
RESULTS: The wrist PPG technology had very good HR and beat detection accuracy when using green light. For the SR group, the mean absolute error (MAE) for HR was 1.50 bpm, and for the inter-beat intervals (IBI), the MAE was 7.64 ms. For the AF group, the MAE for HR was 4.28 bpm and for IBI, the MAE was 14.67 ms. Accuracy for the infrared (IR) channel was worse. Finger PPG provided similar accuracy for HR and better accuracy for the IBI. AF detection sensitivity using green light was 99.0% and the specificity was 93.0%. Performance can be improved by discarding unreliable IBI periods. SIGNIFICANCE: Results suggest that wrist PPG measurement allows accurate HR and beat-to-beat HR monitoring also in AF patients, and could be used for differentiating between SR and AF with very good sensitivity.

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Mesh:

Year:  2018        PMID: 29856730     DOI: 10.1088/1361-6579/aac9a9

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  14 in total

1.  Non-invasive human vital signs monitoring based on twin-core optical fiber sensors.

Authors:  Fengze Tan; Shuyang Chen; Weimin Lyu; Zhengyong Liu; Changyuan Yu; Chao Lu; Hwa-Yaw Tam
Journal:  Biomed Opt Express       Date:  2019-10-29       Impact factor: 3.732

2.  Evaluation of a wrist-worn photoplethysmography monitor for heart rate variability estimation in patients recovering from laparoscopic colon resection.

Authors:  Juha K A Rinne; Seyedsadra Miri; Niku Oksala; Antti Vehkaoja; Jyrki Kössi
Journal:  J Clin Monit Comput       Date:  2022-04-08       Impact factor: 2.502

3.  Wearable Photoplethysmography for Cardiovascular Monitoring.

Authors:  Peter H Charlton; Panicos A Kyriaco; Jonathan Mant; Vaidotas Marozas; Phil Chowienczyk; Jordi Alastruey
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2022-03-11       Impact factor: 10.961

4.  Use of a Smart Watch for Early Detection of Paroxysmal Atrial Fibrillation: Validation Study.

Authors:  Yohei Kawasaki; Tomohiko Inui; Hiroki Kohno; Kaoru Matsuura; Hideki Ueda; Yusaku Tamura; Michiko Watanabe; Yuichi Inage; Yasunori Yakita; Yutaka Wakabayashi; Goro Matsumiya
Journal:  JMIR Cardio       Date:  2020-01-22

5.  Hybrid Decision Support to Monitor Atrial Fibrillation for Stroke Prevention.

Authors:  Ningrong Lei; Murtadha Kareem; Seung Ki Moon; Edward J Ciaccio; U Rajendra Acharya; Oliver Faust
Journal:  Int J Environ Res Public Health       Date:  2021-01-19       Impact factor: 3.390

6.  Accuracy of heart rate variability estimated with reflective wrist-PPG in elderly vascular patients.

Authors:  Christoph Hoog Antink; Yen Mai; Mikko Peltokangas; Steffen Leonhardt; Niku Oksala; Antti Vehkaoja
Journal:  Sci Rep       Date:  2021-04-14       Impact factor: 4.379

Review 7.  Atrial fibrillation monitoring with wrist-worn photoplethysmography-based wearables: State-of-the-art review.

Authors:  Linda M Eerikäinen; Alberto G Bonomi; Lukas R C Dekker; Rik Vullings; Ronald M Aarts
Journal:  Cardiovasc Digit Health J       Date:  2020-08-26

8.  Orthogonality-Constrained CNMF-Based Noise Reduction with Reduced Degradation of Biological Sound.

Authors:  Naoto Murakami; Shota Nakashima; Katsuma Fujimoto; Shoya Makihira; Seiji Nishifuji; Keiko Doi; Xianghong Li; Tsunahiko Hirano; Kazuto Matsunaga
Journal:  Sensors (Basel)       Date:  2021-11-29       Impact factor: 3.576

9.  Analysis of Relevant Features from Photoplethysmographic Signals for Atrial Fibrillation Classification.

Authors:  César A Millán; Nathalia A Girón; Diego M Lopez
Journal:  Int J Environ Res Public Health       Date:  2020-01-13       Impact factor: 3.390

10.  Validation of Single Centre Pre-Mobile Atrial Fibrillation Apps for Continuous Monitoring of Atrial Fibrillation in a Real-World Setting: Pilot Cohort Study.

Authors:  Hui Zhang; Jie Zhang; Hong-Bao Li; Yi-Xin Chen; Bin Yang; Yu-Tao Guo; Yun-Dai Chen
Journal:  J Med Internet Res       Date:  2019-12-03       Impact factor: 5.428

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