Smartwatch: Looking beyond what you see

被引:0
作者
Suarez, Mauro Buelga [1 ,2 ,3 ]
Sanchez, Alfonso Rebolleda [4 ]
Izco, Marina Pascual [5 ,6 ]
Montalvo, Jesus Garcia [1 ,3 ]
Salinas, Gonzalo Luis Alonso [7 ,8 ,9 ,10 ]
机构
[1] Hosp Univ Ramon y Cajal, Cardiol Dept, Madrid, Spain
[2] Univ Alcala, Nursing Dept, Alcala De Henares, Spain
[3] Inst Ramon & Cajal Invest Sanitaria IRYCIS, Madrid, Spain
[4] Univ Politecn Madrid, Comp Sci Dept, IES Leonardo Da Vinci, Madrid, Spain
[5] Clin Univ Navarra, Cardiol Dept, Pamplona, Spain
[6] Univ Navarra, Pamplona, Spain
[7] Hosp Univ Navarra, Pamplona, Spain
[8] Navarrabiomed, Cardiol Dept, Pamplona, Spain
[9] Univ Publ Navarra UPNA, Hlth Sci Dept, Pamplona, Spain
[10] Irunlarrea Rd,Cardiol Dept D1, Pamplona 31008, Navarra, Spain
关键词
Apple watch; Electrocardiogram app; Arrhythmias; Leads; Voltage; CSV file format;
D O I
10.1016/j.jelectrocard.2023.07.010
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: The clinical utility of the Apple Inc.& REG; smartwatch in scenarios beyond detecting atrial fibrillation has been debated. Although the device has the capability to record electrocardiograms (ECG) and detect arrhythmias, voltage limitations hinder its accuracy in measuring real voltage when recording precordial leads. This limitation poses challenges for its clinical use in diagnosing ischemia and screening cardiomyopathies. This review aims to analyze the ECG recording capacity of the Apple Watch, investigate the reasons for voltage limitations, and explore alternative approaches for its use in these clinical scenarios. Methods: A comprehensive literature review was conducted to examine the ECG recording capacity of the Apple Watch and the limitations encountered when recording precordial leads. Data in CSV format files were analyzed to gain insights into the underlying causes of voltage limitations. Results: The Apple Watch demonstrates effectiveness in detecting cardiac arrhythmias such as atrial fibrillation using photoplethysmography and ECG recording. However, voltage limitations during precordial lead recordings impede accurate voltage measurement, thereby limiting its clinical utility. Analysis of the data stored in the CSV files revealed that these voltage limitations are primarily attributed to the presentation format. Exploring alternative approaches for data processing could potentially overcome this challenge. Conclusions: This review highlights the potential for addressing voltage limitations through alternative data processing approaches. Further research is necessary to identify suitable alternatives that enable the Apple Watch to be effectively utilized in these clinical scenarios.
引用
收藏
页码:51 / 59
页数:9
相关论文
共 14 条
  • [1] Apple Inc, 2018, Using Apple watch for arrhythmia detection
  • [2] Auxiliadora M, 2017, Cardiocore, V2, P99, DOI [10.1016/j.carcor.2017.04.003, DOI 10.1016/J.CARCOR.2017.04.003]
  • [3] Avila Cesar O, 2019, Perm J, V23, DOI 10.7812/TPP/19-025
  • [4] Prevalence, incidence and mortality of hypertrophic cardiomyopathy based on a population cohort of 21.9 million in China
    Bai, Ying
    Zheng, Jian-Peng
    Lu, Feng
    Zhang, Xi-Lin
    Sun, Chang-Ping
    Guo, Wei-Hua
    Zou, Yi-Xi
    Lip, Gregory Y. H.
    Shi, Xu-Bo
    [J]. SCIENTIFIC REPORTS, 2022, 12 (01)
  • [5] Acute coronary syndrome treatment delay in low to middle-income countries: A systematic review
    Beza, Lemlem
    Leslie, Sharon L.
    Alemayehu, Bekele
    Gary, Rebecca
    [J]. IJC HEART & VASCULATURE, 2021, 35
  • [6] Smartwatch ECG tracing and ischemic heart disease. ACS Watch Study
    Buelga Suarez, Mauro
    Pascual Izco, Marina
    Pastor Pueyo, Pablo
    Lozano Granero, Vanesa Cristina
    Garcia Montalvo, Jesus
    Alonso Salinas, Gonzalo Luis
    [J]. CARDIOLOGY, 2023, 148 (01) : 78 - 82
  • [7] Smartwatches and ischemic heart disease. A future possibility?
    Buelga Suarez, Mauro
    Garcia Montalvo, Jesus
    Alonso Salinas, Gonzalo Luis
    [J]. REVISTA ESPANOLA DE CARDIOLOGIA, 2022, 75 (09): : 764 - 764
  • [8] ECG Standards and Formats for Interoperability between mHealth and Healthcare Information Systems: A Scoping Review
    Cuevas-Gonzalez, Daniel
    Pablo Garcia-Vazquez, Juan
    Bravo-Zanoguera, Miguel
    Lopez-Avitia, Roberto
    Reyna, Marco A.
    Alexander Zermeno-Campos, Nestor
    Luisa Gonzalez-Ramirez, Maria
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (19)
  • [9] A wavelet-based ECG delineator:: Evaluation on standard databases
    Martínez, JP
    Almeida, R
    Olmos, S
    Rocha, AP
    Laguna, P
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2004, 51 (04) : 570 - 581
  • [10] Leveraging Large Clinical Data Sets for Artificial Intelligence in Medicine
    Ouyang, David
    Albert, Christine M.
    [J]. JAMA CARDIOLOGY, 2021, 6 (11) : 1296 - 1297