Literature DB >> 36213377

Current and Potential Applications of Wearables in Sports Cardiology.

Prashant Rao1, Dhruv R Seshadri2, Jeffrey J Hsu3,4.   

Abstract

Purpose of the review: Commercial wearable biosensors are commonly used among athletes and highly active individuals, although their value in sports cardiology is not well established. In this review, we discuss the evidence for the current applications of wearables and provide our outlook for promising future directions of this emerging field. Recent findings: The integration of routine assessment of physiological parameters, activity data, and features such as electrocardiogram recording has generated excitement over a role for wearables to help diagnose and monitor cardiovascular disease. Presently, however, there are significant challenges limiting their routine clinical use. While studies suggest that wearable-derived data may help guide training, evidence for the use of wearables in guiding exercise regimens for individuals with cardiovascular disease is lacking. Further, there is a paucity of data to demonstrate its efficacy in detecting exercise-related arrhythmias or conditions associated with sudden cardiac death. Further technological developments may lead to a greater potential for wearables to aid in sports cardiology practice. Summary: The ability to collect vast amounts of physiological information can help athletes personalize training regimens. However, interpretation of these data and separating the signal from the noise are paramount, especially when used in a clinical setting. While there are currently no standardized approaches for the use of wearable-derived data in sports cardiology, we outline three domains in which they could guide the care of athletes in the future: (1) optimizing athletic performance (2) guiding exercise in athletes with known cardiovascular disease, and (3) screening for cardiovascular disease.

Entities:  

Keywords:  Wearables; athlete; cardiovascular performance; recovery; sports cardiology

Year:  2021        PMID: 36213377      PMCID: PMC9536770          DOI: 10.1007/s11936-021-00942-1

Source DB:  PubMed          Journal:  Curr Treat Options Cardiovasc Med        ISSN: 1092-8464


  43 in total

1.  Estimation of VO2max from the ratio between HRmax and HRrest--the Heart Rate Ratio Method.

Authors:  Niels Uth; Henrik Sørensen; Kristian Overgaard; Preben K Pedersen
Journal:  Eur J Appl Physiol       Date:  2003-11-18       Impact factor: 3.078

2.  Eligibility and Disqualification Recommendations for Competitive Athletes With Cardiovascular Abnormalities: Preamble, Principles, and General Considerations: A Scientific Statement From the American Heart Association and American College of Cardiology.

Authors:  Barry J Maron; Douglas P Zipes; Richard J Kovacs
Journal:  J Am Coll Cardiol       Date:  2015-11-02       Impact factor: 24.094

3.  A novel method for using accelerometer data to predict energy expenditure.

Authors:  Scott E Crouter; Kurt G Clowers; David R Bassett
Journal:  J Appl Physiol (1985)       Date:  2005-12-01

4.  Endurance training guided individually by daily heart rate variability measurements.

Authors:  Antti M Kiviniemi; Arto J Hautala; Hannu Kinnunen; Mikko P Tulppo
Journal:  Eur J Appl Physiol       Date:  2007-09-12       Impact factor: 3.078

5.  Atrial fibrillation screening with photo-plethysmography through a smartphone camera.

Authors:  Frederik H Verbrugge; Tine Proesmans; Johan Vijgen; Wilfried Mullens; Maximo Rivero-Ayerza; Hugo Van Herendael; Pieter Vandervoort; Dieter Nuyens
Journal:  Europace       Date:  2019-08-01       Impact factor: 5.214

6.  Accuracy of wearable heart rate monitors in cardiac rehabilitation.

Authors:  Muhammad Etiwy; Zade Akhrass; Lauren Gillinov; Alaa Alashi; Robert Wang; Gordon Blackburn; Stephen M Gillinov; Dermot Phelan; A Marc Gillinov; Penny L Houghtaling; Hoda Javadikasgari; Milind Y Desai
Journal:  Cardiovasc Diagn Ther       Date:  2019-06

7.  Toward a Robust Estimation of Respiratory Rate From Pulse Oximeters.

Authors:  Marco A F Pimentel; Alistair E W Johnson; Peter H Charlton; Drew Birrenkott; Peter J Watkinson; Lionel Tarassenko; David A Clifton
Journal:  IEEE Trans Biomed Eng       Date:  2016-11-18       Impact factor: 4.538

8.  Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation.

Authors:  Marco V Perez; Kenneth W Mahaffey; Haley Hedlin; John S Rumsfeld; Ariadna Garcia; Todd Ferris; Vidhya Balasubramanian; Andrea M Russo; Amol Rajmane; Lauren Cheung; Grace Hung; Justin Lee; Peter Kowey; Nisha Talati; Divya Nag; Santosh E Gummidipundi; Alexis Beatty; Mellanie True Hills; Sumbul Desai; Christopher B Granger; Manisha Desai; Mintu P Turakhia
Journal:  N Engl J Med       Date:  2019-11-14       Impact factor: 176.079

Review 9.  2020 AHA/ACC Guideline for the Diagnosis and Treatment of Patients With Hypertrophic Cardiomyopathy: Executive Summary: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines.

Authors:  Steve R Ommen; Seema Mital; Michael A Burke; Sharlene M Day; Anita Deswal; Perry Elliott; Lauren L Evanovich; Judy Hung; José A Joglar; Paul Kantor; Carey Kimmelstiel; Michelle Kittleson; Mark S Link; Martin S Maron; Matthew W Martinez; Christina Y Miyake; Hartzell V Schaff; Christopher Semsarian; Paul Sorajja
Journal:  Circulation       Date:  2020-11-20       Impact factor: 29.690

Review 10.  Machine learning and statistical methods for the prediction of maximal oxygen uptake: recent advances.

Authors:  Fatih Abut; Mehmet Fatih Akay
Journal:  Med Devices (Auckl)       Date:  2015-08-27
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