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Usability of Wearable Devices With a Novel Cardiac Force Index for Estimating the Dynamic Cardiac Function: Observational Study
- Source :
- JMIR mHealth and uHealth, Vol 8, Iss 7, p e15331 (2020), JMIR mHealth and uHealth
- Publication Year :
- 2020
- Publisher :
- JMIR Publications Inc., 2020.
-
Abstract
- Background Long-distance running can be a form of stress to the heart. Technological improvements combined with the public’s gradual turn toward mobile health (mHealth), self-health, and exercise effectiveness have resulted in the widespread use of wearable exercise products. The monitoring of dynamic cardiac function changes during running and running performance should be further studied. Objective We investigated the relationship between dynamic cardiac function changes and finish time for 3000-meter runs. Using a wearable device based on a novel cardiac force index (CFI), we explored potential correlations among 3000-meter runners with stronger and weaker cardiac functions during running. Methods This study used the American product BioHarness 3.0 (Zephyr Technology Corporation), which can measure basic physiological parameters including heart rate, respiratory rate, temperature, maximum oxygen consumption, and activity. We investigated the correlations among new physiological parameters, including CFI = weight * activity / heart rate, cardiac force ratio (CFR) = CFI of running / CFI of walking, and finish times for 3000-meter runs. Results The results showed that waist circumference, smoking, and CFI were the significant factors for qualifying in the 3000-meter run. The prediction model was as follows: ln (3000 meters running performance pass probability / fail results probability) = –2.702 – 0.096 × [waist circumference] – 1.827 × [smoke] + 0.020 × [ACi7]. If smoking and the ACi7 were controlled, contestants with a larger waist circumference tended to fail the qualification based on the formula above. If waist circumference and ACi7 were controlled, smokers tended to fail more often than nonsmokers. Finally, we investigated a new calculation method for monitoring cardiac status during exercise that uses the CFI of walking for the runner as a reference to obtain the ratio between the cardiac force of exercise and that of walking (CFR) to provide a standard for determining if the heart is capable of exercise. A relationship is documented between the CFR and the performance of 3000-meter runs in a healthy 22-year-old person. During the running period, data are obtained while participant slowly runs 3000 meters, and the relationship between the CFR and time is plotted. The runner’s CFR varies with changes in activity. Since the runner’s acceleration increases, the CFR quickly increases to an explosive peak, indicating the runner’s explosive power. At this period, the CFI revealed a 3-fold increase (CFR=3) in a strong heart. After a time lapse, the CFR is approximately 2.5 during an endurance period until finishing the 3000-meter run. Similar correlation is found in a runner with a weak heart, with the CFR at the beginning period being 4 and approximately 2.5 thereafter. Conclusions In conclusion, the study results suggested that measuring the real-time CFR changes could be used in a prediction model for 3000-meter running performance.
- Subjects :
- Male
Cardiac function curve
medicine.medical_specialty
Waist
Respiratory rate
cardiac force
physical activity
Health Informatics
Information technology
030204 cardiovascular system & hematology
Wearable Electronic Devices
Young Adult
03 medical and health sciences
0302 clinical medicine
Internal medicine
Heart rate
running
heart rate
medicine
Humans
Wearable technology
Mathematics
Original Paper
business.industry
VO2 max
Heart
acceleration
030229 sport sciences
T58.5-58.64
Circumference
Cardiology
Observational study
Public aspects of medicine
RA1-1270
business
Subjects
Details
- ISSN :
- 22915222
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- JMIR mHealth and uHealth
- Accession number :
- edsair.doi.dedup.....daa49d68d133272562597453e9221ef8