Enhancing dynamic metabolic rate estimation using calibration models for portable devices

Yuchun Zhang, Xiwen Feng, Sheng Zhang, Naiping Gao, Zhaosong Fang*, Zhang Lin

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Regarding thermal comfort and safety, metabolic rate is crucial for understanding human responses to environmental heat. Outdoor field experiments were conducted to investigate the variations in M measurement methods across different activities, including five walking speed levels: 1.2 m/s, 1.4 m/s, 1.6 m/s, 1.8 m/s, and 2.0 m/s. with This study presents a significant advancement in the accurate estimation of metabolic rates using portable devices at common walking speeds. By introducing correction formulas, the accuracy of metabolic rate measurements was improved, thereby enhancing thermal comfort research. The key findings included the consistent overestimation of metabolic rates by heart-rate-based methods during sedentary phases by approximately 1.5 met, and the underestimation by ISO 7730 and ASHRAE standards during walking phases by approximately 0.5 met at higher speeds. The conversion formulas between the ECG-based and PPG-based devices demonstrate high compatibility. The developed correction models reduced the deviations in the walking stages to <15% and aligned with the ISO 8996:2004 guidelines. Moreover, the predictive models for activity transitions exhibited high R² values of approximately 1 and RMSE below 0.2. These findings have practical implications for improving thermal comfort assessments, urban planning, and guidelines for outdoor safety and wellbeing. © 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
Original languageEnglish
Article number113128
JournalBuilding and Environment
Volume280
Online published4 May 2025
DOIs
Publication statusPublished - Jul 2025

Funding

This study was supported by the National Key R&D Program of China (Project No. 2023YFC3805304-2, National Natural Science Foundation of China (Project No. 52278097), a Theme-based Research Scheme Grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. T22–504/21-R), and a General Research Grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. CityU 11205223).

Research Keywords

  • Metabolic rate measurement
  • Heart rate analysis
  • Oxygen consumption
  • Correction formula
  • Thermal comfort

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