Literature DB >> 30878151

Effectiveness of the Chest Strap Electrocardiogram to Detect Atrial Fibrillation.

Sanna Hartikainen1, Jukka A Lipponen2, Pamela Hiltunen3, Tuomas T Rissanen4, Indrek Kolk5, Mika P Tarvainen6, Tero J Martikainen7, Maaret Castren8, Eemu-Samuli Väliaho9, Helena Jäntti10.   

Abstract

Atrial fibrillation (AF) is a significant cause of cardioembolic strokes. AF is often symptomless and intermittent, making its detection challenging. The aim of this study was to assess the possibility to use a chest strap (Suunto Movesense) to detect AF both by cardiologists and automated algorithms. A single channel electrocardiogram (ECG) from a chest strap of 220 patients (107 AF and 111 sinus rhythm SR with 2 inconclusive rhythms) were analyzed by 2 cardiologists (Doc1 and Doc2) and 2 different algorithms (COSEn and AFEvidence). A 3-lead Holter served as the gold standard ECG for rhythm analysis. Both cardiologists evaluated the quality of the chest strap ECG to be superior to the quality of the Holter ECG; p <0.05/p <0.001 (Doc1/Doc 2). Accurate automated algorithm-based AF detection was achieved with sensitivity of 95.3%/96.3% and specificity of 95.5/98.2% with 2 AF detection algorithms from chest strap and 93.5%/97.2% and 98.2%/95.5% from Holter, respectively. P waves were detectable in 93.7% (Doc1) and 94.6% (Doc2) of the cases from the chest strap ECG with sinus rhythm and 98.2% (Doc1) and 95.5% (Doc2) from the Holter (p = n.s). In conclusion, the ECGs from both methods enabled AF detection by a cardiologist and by automated algorithms. Both methods studied enabled P-wave detection in sinus rhythm.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Year:  2019        PMID: 30878151     DOI: 10.1016/j.amjcard.2019.02.028

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  7 in total

1.  Continuous mHealth Patch Monitoring for the Algorithm-Based Detection of Atrial Fibrillation: Feasibility and Diagnostic Accuracy Study.

Authors:  Jari Halonen; Tero J Martikainen; Onni E Santala; Jukka A Lipponen; Helena Jäntti; Tuomas T Rissanen; Mika P Tarvainen; Tomi P Laitinen; Tiina M Laitinen; Maaret Castrén; Eemu-Samuli Väliaho; Olli A Rantula; Noora S Naukkarinen; Juha E K Hartikainen
Journal:  JMIR Cardio       Date:  2022-06-21

2.  An Index of Non-Linear HRV as a Proxy of the Aerobic Threshold Based on Blood Lactate Concentration in Elite Triathletes.

Authors:  Bruce Rogers; Sander Berk; Thomas Gronwald
Journal:  Sports (Basel)       Date:  2022-02-18

3.  Influence of Artefact Correction and Recording Device Type on the Practical Application of a Non-Linear Heart Rate Variability Biomarker for Aerobic Threshold Determination.

Authors:  Bruce Rogers; David Giles; Nick Draper; Laurent Mourot; Thomas Gronwald
Journal:  Sensors (Basel)       Date:  2021-01-26       Impact factor: 3.576

4.  Proposal of a novel Artificial Intelligence Distribution Service platform for healthcare.

Authors:  Antti Väänänen; Keijo Haataja; Katri Vehviläinen-Julkunen; Pekka Toivanen
Journal:  F1000Res       Date:  2021-03-26

5.  Necklace-embedded electrocardiogram for the detection and diagnosis of atrial fibrillation.

Authors:  Onni E Santala; Jukka A Lipponen; Helena Jäntti; Tuomas T Rissanen; Jari Halonen; Indrek Kolk; Hanna Pohjantähti-Maaroos; Mika P Tarvainen; Eemu-Samuli Väliaho; Juha Hartikainen; Tero Martikainen
Journal:  Clin Cardiol       Date:  2021-02-25       Impact factor: 2.882

6.  Machine learning detection of Atrial Fibrillation using wearable technology.

Authors:  Mark Lown; Michael Brown; Chloë Brown; Arthur M Yue; Benoy N Shah; Simon J Corbett; George Lewith; Beth Stuart; Michael Moore; Paul Little
Journal:  PLoS One       Date:  2020-01-24       Impact factor: 3.240

7.  Commercially Available Heart Rate Monitor Repurposed for Automatic Arrhythmia Detection with Snapshot Electrocardiographic Capability: A Pilot Validation.

Authors:  Chiara Martini; Bernardo Di Maria; Claudio Reverberi; Domenico Tuttolomondo; Nicola Gaibazzi
Journal:  Diagnostics (Basel)       Date:  2022-03-15
  7 in total

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