Heat balance model for a human body in the form of wet bulb globe temperature indices

Sakoi, Tomonori; Mochida, Tohru; Kurazumi, Yoshihito; Kuwabara, Kouhei; Horiba, Yosuke; Sawada, Shin-ichi

doi:10.1016/j.jtherbio.2017.10.002

Cited by 19 publications

(8 citation statements)

References 16 publications

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“…Therefore, we first normalized the impedance and resistance values by body width and incorporated these values into the evaluation equation, and then normalized the ECW values using body surface area. For body surface area, we used the formula described by Kurazumi et al, which reflects the gender and body shape of the Japanese people [25,42].…”

Section: Discussionmentioning

confidence: 99%

“…It allowed the machine learning model to explicitly learn that the value was missing. For electrical features affected by body size, we normalized them by using body width (BDW) and body surface area calculated using the Kurazumi formula [25]. We have defined body width as the horizontal distance between both the axillary midlines at the level of the xiphoid process.…”

Section: Preprocessing Of Datamentioning

confidence: 99%

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Development of Machine Learning-Based Web System for Estimating Pleural Effusion Using Multi-Frequency Bioelectrical Impedance Analyses

Nose

Matsui

Otsuka

et al. 2023

JCDD

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Background: Transthoracic impedance values have not been widely used to measure extravascular pulmonary water content due to accuracy and complexity concerns. Our aim was to develop a foundational model for a novel system aiming to non-invasively estimate the intrathoracic condition of heart failure patients. Methods: We employed multi-frequency bioelectrical impedance analysis to simultaneously measure multiple frequencies, collecting electrical, physical, and hematological data from 63 hospitalized heart failure patients and 82 healthy volunteers. Measurements were taken upon admission and after treatment, and longitudinal analysis was conducted. Results: Using a light gradient boosting machine, and a decision tree-based machine learning method, we developed an intrathoracic estimation model based on electrical measurements and clinical findings. Out of the 286 features collected, the model utilized 16 features. Notably, the developed model demonstrated high accuracy in discriminating patients with pleural effusion, achieving an area under the receiver characteristic curves (AUC) of 0.905 (95% CI: 0.870–0.940, p < 0.0001) in the cross-validation test. The accuracy significantly outperformed the conventional frequency-based method with an AUC of 0.740 (95% CI: 0.688–0.792, and p < 0.0001). Conclusions: Our findings indicate the potential of machine learning and transthoracic impedance measurements for estimating pleural effusion. By incorporating noninvasive and easily obtainable clinical and laboratory findings, this approach offers an effective means of assessing intrathoracic conditions.

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Section: Discussionmentioning

confidence: 99%

Section: Preprocessing Of Datamentioning

confidence: 99%

Development of Machine Learning-Based Web System for Estimating Pleural Effusion Using Multi-Frequency Bioelectrical Impedance Analyses

Nose

Matsui

Otsuka

et al. 2023

JCDD

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“…According to a study by Fanger [ 47 ], the most important variables that influence the condition of thermal comfort are activity (M), thermal resistance of clothing, air temperature, mean radiant temperature, air velocity, and relative humidity. The variables were later quantified using a heat-balance equation and applied to thermal comfort [ 48 , 49 ].…”

Section: Discussionmentioning

confidence: 99%

Experimental investigation of the effects of personal protective equipment on thermal comfort in hot environments

Mao

Zhu

Guo

et al. 2022

Building and Environment

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“…It depends on the significant climatology factors irrespective of clothing (Clo values) and metabolic activity (Met values) [72]. Determination of the mean radiant temperature (MRT) [23] is required to estimate the physiological equivalent temperature, which is a significant meteorological variable governing the human heat balance [73] and thermal comfort in outdoor spaces. MRT is defined as the exchange of short and longwave radiation between a human and its surrounding environment; its equation is given below [30]:…”

Section: Questionnaire Surveymentioning

confidence: 99%

A Field Investigation on Adaptive Thermal Comfort in an Urban Environment Considering Individuals’ Psychological and Physiological Behaviors in a Cold-Winter of Wuhan

Makvandi

Zhou

et al. 2021

Sustainability

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To date, studies of outdoor thermal comfort (OTC) have focused primarily on physical factors, tending to overlook the relevance of individual adaptation to microclimate parameters through psychological and physiological behaviors. These adaptations can significantly affect the use of urban and outdoor spaces. The study presented here investigated these issues, with a view to aiding sustainable urban development. Measurements of OTC were taken at a university campus and in urban spaces. Simultaneously, a large-scale survey of thermal adaptability was conducted. Two groups were selected for investigation in a cold-winter-and-hot-summer (CWHS) region; respondents came from humid subtropical (Cfa) and hot desert (BWh) climates, according to the Köppen Climate Classification (KCC). Results showed that: (1) neutral physiological equivalent temperature (NPET) and preferred PET for people from the Cfa (PCfa) and BWh (PBWh) groups could be obtained with KCC; (2) PCfa adaptability behaviors were, subjectively, more adjustable than PBWh; (3) Clothing affected neutral temperature (NT), where NT reduced by approximately 0.5 °C when clothing insulation rose 0.1 Clo; and (4) Gender barely affected thermal acceptance vote (TAV) or thermal comfort vote (TCV) and there was a substantial relationship between thermal sensation, NT, and PET. These findings suggest ‘feels like’ temperature and comfort may be adjusted via relationships between microclimate parameters.

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Heat balance model for a human body in the form of wet bulb globe temperature indices

Cited by 19 publications

References 16 publications

Development of Machine Learning-Based Web System for Estimating Pleural Effusion Using Multi-Frequency Bioelectrical Impedance Analyses

Development of Machine Learning-Based Web System for Estimating Pleural Effusion Using Multi-Frequency Bioelectrical Impedance Analyses

Experimental investigation of the effects of personal protective equipment on thermal comfort in hot environments

A Field Investigation on Adaptive Thermal Comfort in an Urban Environment Considering Individuals’ Psychological and Physiological Behaviors in a Cold-Winter of Wuhan

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