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Accepted for/Published in: JMIR mHealth and uHealth

Date Submitted: Jul 2, 2019
Open Peer Review Period: Jul 3, 2019 - Jul 10, 2019
Date Accepted: Mar 22, 2020
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Usability of Wearable Devices With a Novel Cardiac Force Index for Estimating the Dynamic Cardiac Function: Observational Study

Hsiao P Sr, Chi-Ming C Sr, Li YK Sr

Usability of Wearable Devices With a Novel Cardiac Force Index for Estimating the Dynamic Cardiac Function: Observational Study

JMIR Mhealth Uhealth 2020;8(7):e15331

DOI: 10.2196/15331

PMID: 32706725

PMCID: 7404011

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Applied Wearable Devices For Digital Health Based On Novel Cardiac Force Index Of Running Performance:Cross-sectional Study

  • PoJen Hsiao Sr; 
  • Chu Chi-Ming Sr; 
  • Yuan-Kuei Li Sr

ABSTRACT

Background:

Marathons and road running have become popular in recent years, sudden cardiac death may occur even in young populations.

Objective:

Early detection the cardiac function changes during running is imperative.

Methods:

We investigated the correlations among the 2 new physiological parameters, including cardiac force index (CFI) = weight * activity / heart rate, cardiac force ratio (CFR) = CFI of running / CFI of walking, and finish times for 3000 meters of running.This study used the American Zephyrâ„¢ product BioHarness 3.0. It can measure basic physiological parameters, including heart-rate, respiratory rate, temperature, maximum oxygen consumption and activity.

Results:

After analysis of multi-variates logistic regression model, accumulation of heart activities during running was statistically significant with the qualification of the 3000-meter running test (p = 0.04). Finally, we compared the correlations of CFR(s) between runners with stronger and weaker cardiac force during 3000-meter running

Conclusions:

In conclusion, this study results suggested that real-time CFR changes could be a predication model for the 3000-meter running performance.


 Citation

Please cite as:

Hsiao P Sr, Chi-Ming C Sr, Li YK Sr

Usability of Wearable Devices With a Novel Cardiac Force Index for Estimating the Dynamic Cardiac Function: Observational Study

JMIR Mhealth Uhealth 2020;8(7):e15331

DOI: 10.2196/15331

PMID: 32706725

PMCID: 7404011

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