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高斯如,建筑学博士,西安建筑科技大学建筑学院师资博士后,主要从事人体热舒适、室内热环境营造及建筑节能设计参数等方面研究。在《Building and Environment》《Energy and Buildings》《Scientific Data》《世界建筑》等国内外有影响力的期刊发表论文30余篇,参与编写著作和标准规范4部。入选2024年度博士后创新人才支持计划,获《Building and Environment》期刊最佳论文奖,参与了“十三五”“十四五”国家重点研发计划及国家自然科学基金重点项目等多项国家级科研项目。
高斯如
Paper Publications
Is the ISO 8996:2021 heart rate method accurate for predicting metabolic rate? An experimental validation based on Chinese young adults
Release time:2026-08-10 Hits:
Impact Factor:
8.4
DOI number:
10.1016/j.buildenv.2025.113235
Journal:
Building and Environment
Abstract:
The ISO 8996:2021 standard proposes a heart rate (HR)-based method for estimating metabolic rate (MR), offering a cost-effective alternative to direct calorimetry. However, its validity across ethnicity and activity types remains underexplored. This study evaluates the accuracy of ISO 8996:2021 for Chinese young adults and proposes a refined prediction model. MR and HR data from 256 participants (141 males, 115 females; aged 20–30 years) were collected during office work, housework, walking, and exercise. Results show that ISO 8996:2021 improves prediction accuracy over the 2004 version for most activities, except walking and HR >120 bpm. However, larger errors persist for females during moderate-to-high-intensity activities (mean relative error, MRE: 32.4 % vs. 20.9 % for males). To address this, we calibrated ISO reference values using empirically measured resting metabolic rate (M0: 54 W/m² for females, 57 W/m² for males) and resting heart rate (HR0: 74–76 bpm), reducing prediction errors by 10–12 % across activity categories. Furthermore, a simplified HR-based MR prediction model was developed using three parameters: heart rate reserve (%HRR), HR0, and fat-free mass (FFM). This model achieved slightly higher accuracy than ISO 8996:2021 while requiring fewer inputs, making it suitable for large-scale field studies. The findings highlight the necessity of ethnic-specific calibration for ISO 8996 and provides practical insights for optimizing thermal comfort assessments in building environments. This work advances the applicability of HR-based MR prediction across diverse populations and supports energy-efficient, occupant-centric building design.
Indexed by:
Journal paper
Document Code:
113235
Discipline:
Engineering
Document Type:
J
Volume:
282
ISSN No.:
0360-1323
Translation or Not:
no
Date of Publication:
2025-01-01
Included Journals:
SCI
Links to published journals:
https://www.sciencedirect.com/science/article/abs/pii/S0360132325007152

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