Key result
Experimental wearable biofeedback system with light actuators successfully controls HRV during indoor cycling.
Why the study?
Heart rate variability is a key indicator of physiological and psychological well-being, but automated control integrating biofeedback and system modeling requires new methods.
Does a biofeedback and wearable system using light actuators allow self-regulation of heart rate variability in middle-aged male firefighters?
Does a biofeedback and wearable system using light actuators allow self-regulation of heart rate variability in middle-aged male firefighters?
A novel biofeedback and wearable system using light actuators can model and control heart rate variability, allowing individuals to self-regulate their physiological state.
May advance frequency-domain biofeedback for HRV; leaves open clinical validation before any practice change.
Heart rate variability is an important physiological parameter in medicine. This parameter is used as an indicator of physiological and psychological well-being and even of certain pathologies. Research on biofeedback integrates the fields of biological application (physiological behavior), system modeling, and automated control. This study proposes a new method for modeling and controlling heart rate variability as heart rate acceleration, a model expressed in the frequency domain. The model is obtained from excitation and response signals from heart rate variability, which through the instrumental variables method and the minimization of a cost function delivers a transfer function that represents the physiological phenomenon. This study also proposes the design of an adaptive controller using the reference model. The controller controls heart rate variability based on the light actuators designed here, generating a conditioned reflex that allows individuals to self-regulate their state through biofeedback, synchronizing this action to homeostasis. Modeling is conducted in a target population of middle-aged men who work as firefighters and forest firefighters. This study validates the proposed model, as well as the design of the controllers and actuators, through a simple experiment based on indoor cycling. This experiment has different segments, namely leaving inertia, non-controlled segment, and actively controlled segment.
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Viera et al. (2022) studied Heart rate variability. Biofeedback and wearable system vs. Non-controlled segment was evaluated on Heart rate variability control. A biofeedback and wearable system using an adaptive controller and light actuators was experimentally validated for controlling heart rate variability during indoor cycling.
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