ArticleFrontiers in public health2024
A real-time biphasic Kalman filter-based model for estimating human core temperature from heart rate measurements for application in the occupational field.
Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed, 5 citations in OpenAlex.
- Data-driven estimation of core body temperature during physical activity under heat exposure: A systematic review and standardized evaluation.Building and environment · 2026Review
- A Comprehensive Review of Non-Invasive Core Body Temperature Measurement Techniques.Sensors (Basel, Switzerland) · 2026Review
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Early identification of hypothermia or hyperthermia is of vital importance, and real-time monitoring of core temperature ( Methods: Thirteen healthy subjects (six female and seven male) were included in the study to perform three consecutive tasks simulating work activities. During each test, an ingestible Results: An algorithm with a biphasic structure was developed using two different models for the increasing and decreasing phases of Discussion: The BKFB model introduced some modifications over the Buller et al. model for a more effective application in the occupational field. It was developed using data collected from a sample of workers (heavily weighted toward middle-aged, not very fit, and with a considerable fraction of female workers), and it also included two different modeling of
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.