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一项关于使用功能性近红外光谱(fNIRS)脑信号识别个人热感觉和热舒适状况的可行性研究。

A feasibility study on using fNIRS brain signals to recognize personal thermal sensation and thermal comfort conditions.

作者信息

M Sharooni P, Maerefat M, Zolfaghari S A, Dadgostar M

机构信息

Faculty of Mechanical Engineering, Tarbiat Modares University, Tehran, Iran.

Faculty of Mechanical Engineering, University of Birjand, Birjand, Iran.

出版信息

J Expo Sci Environ Epidemiol. 2024 Nov;34(6):952-961. doi: 10.1038/s41370-023-00609-y. Epub 2023 Oct 25.

DOI:10.1038/s41370-023-00609-y
PMID:37880409
Abstract

BACKGROUND

Many studies have shown some relationships between thermal perception (including thermal sensation and thermal comfort) and human physiological parameters, such as brain signals. However, further research is still needed on how these parameters can help recognize the state of a human's personal thermal perception.

OBJECTIVE

This study aims to investigate the potential of using fNIRS brain signals to evaluate and predict personal thermal perception and cognitive performance in a steady-state temperature.

METHODS

The present study investigated changes in the fNIRS signal during ambient temperature manipulation. Thirty healthy young individuals were selected as the subjects, and they were exposed to two steady temperatures of 28.8 and 19 °C. After acclimatizing to either temperature, the oxy/deoxy-hemoglobin changes of the prefrontal cortex (PFC) were measured in both rest and cognitive task states using 16-channel fNIRS.

RESULTS

Results showed that exposure to different temperatures was significantly associated with the brain signals recorded during the task state. Many significant correlations were discovered between fNIRS signals and thermal perception indices. Furthermore, subjects' performance changes led to changes in the fNIRS signals. Logistic regression showed that fNIRS can determine whether a person is thermally comfortable or uncomfortable.

摘要

背景

许多研究表明热感知(包括热感觉和热舒适度)与人体生理参数之间存在一些关系,如脑信号。然而,关于这些参数如何有助于识别个人热感知状态仍需进一步研究。

目的

本研究旨在探讨在稳态温度下使用功能近红外光谱(fNIRS)脑信号评估和预测个人热感知及认知表现的潜力。

方法

本研究调查了环境温度变化时fNIRS信号的变化。选取30名健康年轻个体作为受试者,让他们暴露于28.8℃和19℃这两个稳定温度下。在适应任一温度后,使用16通道fNIRS在静息和认知任务状态下测量前额叶皮质(PFC)的氧合/脱氧血红蛋白变化。

结果

结果表明,暴露于不同温度与任务状态下记录的脑信号显著相关。在fNIRS信号与热感知指标之间发现了许多显著相关性。此外,受试者的表现变化导致fNIRS信号发生变化。逻辑回归表明,fNIRS可以确定一个人是热舒适还是热不舒适。

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