| dc.description.abstract | Heart rate(HR) detection is an important physiological indicator for maintaining health
and improving athletic performance. Wrist-worn optical heart rate devices utilize
photoplethysmography (PPG) technology to measure HR. However, compared to the well
established and stable electrocardiogram (ECG) technology, wrist-worn optical HR detection
using PPG devices has shown inconsistent accuracy across different types of activities,
including rest, exercise of low/medium/high intensity.
The result showed that PPG devices can serve as effective tools for HR monitoring. When
considering the advancements in PPG technology and the convenience of device wearability,
PPG devices are a preferable choice for applications involving daily life, exercise & fitness,
and outdoor & adventures, compared to ECG devices, especially when excluding algorithm
differences among brands.
The exercise test for HR detection involved 32 participants and included various exercise
configurations, such as rest, three intensities of indoor cycling (40/70/100 watts), treadmill
walking (5 km/h)/jogging (7 km/h)/running (9 km/h), and push over. The HR data of the Garmin
Fenix 7s (PPG) wrist-worn device and the HRM-Tri (ECG) chest strap device show a
significant correlation. The overall correlation coefficient, rc is 0.988. When considering
different configurations, the correlation coefficients are as follows: resting configuration rc =
0.915; indoor cycling configuration rc = 0.983; treadmill configuration rc = 0.949; Push over
configuration rc = 0.987. The significance level for all configurations is p < 0.01.
Furthermore, the detailed analysis by combining the Bland-Altman plot with heart rate
zones. Among all configurations, zone 4 exhibits the highest number of outliers. In the resting
configuration, outliers are primarily distributed in zone 1. For the indoor cycling configuration,
zone 4 has the highest number of outliers. Similarly, the treadmill configuration shows the
highest number of outliers in zone 4, while the Push over configuration has the highest number
of outliers in zone 1. | en_US |