Heart rate refers to the number of times the heart beats per minute and can be determined by counting the pulse either at the radial or apical site. It can be influenced by factors such as the sympathetic nervous system, physical condition, and the patient's environment. ...
3.4.3.4 Heart rate (HR) HR was measured in 23 studies as seen in Table 1. Resting heart rate at post intervention was measured in 15 studies in completers only using the raw difference in means (n = 879) (Babbar et al., 2016; Blumenthal et al., 1991; Bowman et al., 1997; Cohen...
If you aren’t wearing a heart rate monitor, you aren’t getting the most from exercising.According to the Cleveland Clinic, heart rate is a primary indicator of how intensely you’re exerting yourself and what energy source you’re using. When you work out, you burn calories, but if you...
Polar’s heart rate sensors are widely recognized as the Gold Standard of heart rate monitoring and trusted by users and researchers around the globe.
Heart-rate sharing has been proposed as a way to provide implicit emotional information in CMC [3,4,6,7,8,9,10,11]. Furthermore, other types of physiological data have been explored previously, for example brain waves [34], skin conductance [5,35] and synchronization of biosignals [36]...
heart rate; electrocardiography; neural network; short time signal; informative missingness1. Introduction Heart rate (HR) is an important physiological indication of human beings that reflects the variety of psychological conditions to a considerable extent. Specifically, HR is a direct metric of how ...
Heart rate is the number of times a person's heart beats per minute (bpm). An average normal heart rate at rest for adults ranges from 60 to 100 bpm, according to the Mayo Clinic. The resting heart rate of an individual will vary depending on their age, body size, heart conditions an...
Our work was funded by the Program of Natural Science Fund of China (Serial nos: 81530087, 81373099), and Key Projects in the National Science & Technology Program of Beijing (D141100000114003). We thank all the staff and participants of the Kailuan study for their invaluable contributions. Au...
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The objective of this study was to determine if data from more easily applied non-invasive devices assessing neck muscle activity and heart rate (HR) alone could be used to differentiate between sleep stages. We developed, trained, and compared two machine learning models using neural networks ...