Estimation of Heart Rate Variability from Heartrate Measured with Wristwatch-Type Heartrate Monitor

Yokoyama, Kenichi; Hayashi, Emi; Ito, Hisatoshi; Kawahara, Yuko

doi:10.1541/ieejeiss.142.46

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…The most common type of device with a heart rate measurement function is the so-called smartwatch, which is sold in large quantities today. Heart rate measurements with these devices are commonly used for the assessment of training intensity, sleep cycle monitoring, and other health-related areas [43]. Furthermore, there have been attempts to use this measurement to assess relaxation and stress [44], distinguish emotions [45], and distinguish between sleep and wakefulness [46].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Heart Rate of Operators of Forwarding Machines during Work Activities

Sláma,

Mergl,

Pavlíková

2023

Forests

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The aim of this work was to determine the dependence of the heart rate of operators of forwarding machines on the activities performed during the working day within the framework of timber forwarding and to compare individual activities in terms of the level of physical workload. For this purpose, the work shift of operators carrying out timber forwarding was divided into individual activities: driving, maintenance, forwarding, and break. During these work activities, the heart rate of each operator was taken for subsequent evaluation. A portable device, a Garmin smartwatch, was used to measure their heart rate. The results show that the highest pulse rates of the operators occurred during the maintenance of the entrusted machine, while the highest pulse fluctuations were recorded during forwarding. During this activity, the highest heart rate of the entire measurement process was recorded (132.0000 bpm), but also the lowest (42.0000 bpm). Furthermore, it was proven that both the operator and the activity he performs affect the pulse rate. The activities themselves did not differ from each other in only one of the six cases of comparison, specifically, between driving and forwarding.

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Section: Introductionmentioning

confidence: 99%

Analysis of the Heart Rate of Operators of Forwarding Machines during Work Activities

Sláma,

Mergl,

Pavlíková

2023

Forests

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“…However, the raised solutions do not yet solve a fundamental problem, the response time of the HRV. The principal efforts associated with time series processing have optimized the response to obtain this parameter [ 17 , 18 ]. Solving the self-control of HRV using biofeedback over continuous time [ 2 ] contributes to physical and psychological well-being and safety in individuals such as firefighters and forest firefighters, who are constantly subjected to environments with extreme and aggressive conditions.…”

Section: Introductionmentioning

confidence: 99%

Heart Rate Variability Control Using a Biofeedback and Wearable System

Viera

Kaschel

Valencia

2022

Sensors

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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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Estimation of Heart Rate Variability from Heartrate Measured with Wristwatch-Type Heartrate Monitor

Cited by 2 publications

References 10 publications

Analysis of the Heart Rate of Operators of Forwarding Machines during Work Activities

Analysis of the Heart Rate of Operators of Forwarding Machines during Work Activities

Heart Rate Variability Control Using a Biofeedback and Wearable System

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