Key result
A novel system fusing running mean, local Hurst exponents, and relative fluctuation successfully quantified real-time heartbeat activity and differentiated between relaxed and exercise-loaded states.
A novel system fusing three heartbeat measures can automatically quantify static and dynamic heartbeat activity in real-time to assess physical and psycho-physiological arousal.
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May aid real-time cardiac monitoring; leaves open prospective clinical validation before practice adoption.
Heartbeat can reflect the dynamics of the heart control system, and it is also a commonly used index in health monitoring, exercise load calculation and psycho-physiological arousal quantification. This paper fuses three heartbeat measures, i.e. the running mean, the range of local Hurst exponents and the relative fluctuation, to construct a system that can automatically quantify the heartbeat activity both from its static aspect and from its dynamic aspect in a real-time manner. Experiments show that the system can reveal the heartbeat arousal difference between physically relaxed status and exercise-loaded status. When the affective heartbeat data in literature are quantified by this system, the results also show the capability of the system to illustrate psycho-physiological arousal.
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Wen et al. (2016) studied Heartbeat activity. System for comprehensive quantification of real-time heartbeat activity was evaluated on Heartbeat arousal difference between physically relaxed and exercise-loaded status. A novel system fusing running mean, local Hurst exponents, and relative fluctuation successfully quantified real-time heartbeat activity and differentiated between relaxed and exercise-loaded states.
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