Application of heart rate variability for thermal comfort in office buildings in real-life conditions

Fernandez, Santiago; Lázaro, Ignacio; Arnaiz, Aitor; Çalış, Gülben

doi:10.3311/ccc2018-104

Cited by 2 publications

(3 citation statements)

References 22 publications

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“…Building physics 34 [9,11,13,21,32,48,53,61,71,[132][133][134][135][136][137][139][140][141]143,144,146,148,150,153,154,156,161,[164][165][166][167]199,226,230]. Table A6.…”

Section: Origin Number (Total: 90) Referencesmentioning

confidence: 99%

“…Comfort 25 [15,16,35,42,[44][45][46][47][48][49][50][51]58,61,62,66,71,111,131,148,159,165,225,226,230].…”

Section: Terms Number (Total: 90) Referencesmentioning

confidence: 99%

“…With help from machine learning classification algorithms, the study concludes that it is possible to predict people's thermal states in a reliable manner, which was found to be up to 93.7% accuracy. There are no real-world studies on IEQ parameters so far; however, experiments focusing on mental stress using HRV data exist with varying success rates [226,227].…”

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confidence: 99%

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Biometric Data as Real-Time Measure of Physiological Reactions to Environmental Stimuli in the Built Environment

et al. 2021

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The physiological and cognitive effects of environmental stimuli from the built environment on humans have been studied for more than a century, over short time frames in terms of comfort, and over long-time frames in terms of health and wellbeing. The strong interdependence of objective and subjective factors in these fields of study has traditionally involved the necessity to rely on a number of qualitative sources of information, as self-report variables, which however, raise criticisms concerning their reliability and precision. Recent advancements in sensing technology and data processing methodologies have strongly contributed towards a renewed interest in biometric data as a potential high-precision tool to study the physiological effects of selected stimuli on humans using more objective and real-time measures. Within this context, this review reports on a broader spectrum of available and advanced biosensing techniques used in the fields of building engineering, human physiology, neurology, and psychology. The interaction and interdependence between (i) indoor environmental parameters and (ii) biosignals identifying human physiological response to the environmental stressors are systematically explored. Online databases ScienceDirect, Scopus, MDPI and ResearchGate were scanned to gather all relevant publications in the last 20 years, identifying and listing tools and methods of biometric data collection, assessing the potentials and drawbacks of the most relevant techniques. The review aims to support the introduction of biomedical signals as a tool for understanding the physiological aspects of indoor comfort in the view of achieving an improved balance between human resilience and building resilience, addressing human indoor health as well as energetic and environmental building performance.

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“…Building physics 34 [9,11,13,21,32,48,53,61,71,[132][133][134][135][136][137][139][140][141]143,144,146,148,150,153,154,156,161,[164][165][166][167]199,226,230]. Table A6.…”

Section: Origin Number (Total: 90) Referencesmentioning

confidence: 99%

“…Comfort 25 [15,16,35,42,[44][45][46][47][48][49][50][51]58,61,62,66,71,111,131,148,159,165,225,226,230].…”

Section: Terms Number (Total: 90) Referencesmentioning

confidence: 99%

mentioning

confidence: 99%

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Biometric Data as Real-Time Measure of Physiological Reactions to Environmental Stimuli in the Built Environment

et al. 2021

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Effect of Exposure Time on Thermal Behaviour: A Psychophysiological Approach

Kobas

Koth

Nkurikiyeyezu

et al. 2021

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This paper presents the findings of a 6-week long, five-participant experiment in a controlled climate chamber. The experiment was designed to understand the effect of time on thermal behaviour, electrodermal activity (EDA) and the adaptive behavior of occupants in response to a thermal non-uniform indoor environment were continuously logged. The results of the 150 h-long longitudinal study suggested a significant difference in tonic EDA levels between “morning” and “afternoon” clusters although the environmental parameters were the same, suggesting a change in the human body’s thermal reception over time. The correlation of the EDA and temperature was greater for the afternoon cluster (r = 0.449, p < 0.001) in relation to the morning cluster (r = 0.332, p < 0.001). These findings showed a strong temporal dependency of the skin conductance level of the EDA to the operative temperature, following the person’s circadian rhythm. Even further, based on the person’s chronotype, the beginning of the “afternoon” cluster was observed to have shifted according to the person’s circadian rhythm. Furthermore, the study is able to show how the body reacts differently under the same PMV values, both within and between subjects; pointing to the lack of temporal parameter in the PMV model.

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Application of heart rate variability for thermal comfort in office buildings in real-life conditions

Cited by 2 publications

References 22 publications

Biometric Data as Real-Time Measure of Physiological Reactions to Environmental Stimuli in the Built Environment

Biometric Data as Real-Time Measure of Physiological Reactions to Environmental Stimuli in the Built Environment

Effect of Exposure Time on Thermal Behaviour: A Psychophysiological Approach

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