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- W3136694998 abstract "Real-life stressors such as work pressure and examination exist in daily life and will affect heart rate (HR) and heart rate variability (HRV) of an individual. The objective of this study is to evaluate the effect of stress on HRV values in healthy human subjects. Wearable device equipped with photoplethysmography (PPG) sensor is worn by all subjects to record the HR data in two situations, which are during rest situation and stress situation for a period of 10 min in each situation. The recorded HR data were then analysed using MATLAB and Kubios HRV software to get the HRV values. Results obtained show that all subjects have higher HRV values during rest situation and those values drop drastically when subjects were exposed to stress simulation. HRV calculated from the root mean square of successive differences (RMSSD) values are more stable and consistent in determining the HRV values compared to standard deviation of the nearest neighbor intervals (SDNN) values. Besides, all subjects show changes in interbeat interval (IBI) from high fluctuations to low fluctuations when subjects are in stress situation. Low fluctuations in IBI changes will result in lower HRV values indicating the presence of stress components. In conclusion, this study provides evidence that one will have lower HRV values during stress situation compared to rest situation." @default.
- W3136694998 created "2021-03-29" @default.
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- W3136694998 date "2021-01-01" @default.
- W3136694998 modified "2023-09-24" @default.
- W3136694998 title "Analysis of Heart Rate Variability Using Wearable Device" @default.
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- W3136694998 doi "https://doi.org/10.1007/978-981-33-4069-5_37" @default.
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