A real-time biphasic Kalman filter-based model for estimating human core temperature from heart rate measurements for application in the occupational field.

estimation models human core temperature occupational health thermal strain wearable devices

Journal

Frontiers in public health
ISSN: 2296-2565
Titre abrégé: Front Public Health
Pays: Switzerland
ID NLM: 101616579

Informations de publication

Date de publication:
2024
Historique:
received: 09 05 2023
accepted: 20 02 2024
medline: 26 3 2024
pubmed: 26 3 2024
entrez: 26 3 2024
Statut: epublish

Résumé

Early identification of hypothermia or hyperthermia is of vital importance, and real-time monitoring of core temperature ( 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 An algorithm with a biphasic structure was developed using two different models for the increasing and decreasing phases of 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

Identifiants

pubmed: 38528868
doi: 10.3389/fpubh.2024.1219595
pmc: PMC10961439
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1219595

Informations de copyright

Copyright © 2024 Falcone, Del Ferraro, Molinaro, Zollo and Lenzuni.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Tiziana Falcone (T)

Laboratory of Ergonomics and Physiology, Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, National Institute for Insurance against Accidents at Work (INAIL), Monte Porzio Catone, Italy.

Simona Del Ferraro (S)

Laboratory of Ergonomics and Physiology, Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, National Institute for Insurance against Accidents at Work (INAIL), Monte Porzio Catone, Italy.

Vincenzo Molinaro (V)

Laboratory of Ergonomics and Physiology, Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, National Institute for Insurance against Accidents at Work (INAIL), Monte Porzio Catone, Italy.

Loredana Zollo (L)

Unit of Advanced Robotics and Human-Centred Technologies, Campus Bio-Medico University of Rome, Rome, Italy.

Paolo Lenzuni (P)

Tuscany Regional Research Center, National Institute for Insurance against Accidents at Work (INAIL), Florence, Italy.

Classifications MeSH