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

• Published in: Frontiers in public health Vol. 12; p. 1219595
• Main Authors: Falcone, Tiziana, Del Ferraro, Simona, Molinaro, Vincenzo, Zollo, Loredana, Lenzuni, Paolo
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 11-03-2024
• Subjects: Algorithms; estimation models; Female; Fever; Heart Rate - physiology; human core temperature; Humans; Male; Middle Aged; occupational health; Public Health; Risk Assessment; Temperature; thermal strain; wearable devices; thermal strain; wearable devices; occupational health; estimation models; human core temperature
• ISSN: 2296-2565; 2296-2565
• DOI: 10.3389/fpubh.2024.1219595

Early identification of hypothermia or hyperthermia is of vital importance, and real-time monitoring of core temperature (
) of the workers exposed to thermal environments is an extremely valuable tool. From the existing literature studies, the model developed by Buller et al. in their study of 2013 that generates real-time estimates of
from heart rate (
) measurements using the Kalman filter (KF) shows good potential for occupational application. However, some aspects could be improved to reliably handle the existing very wide range of workers and work activities. This study presents a real-time
estimation model, called the Biphasic Kalman filter-based (BKFB) model, based on
measurement, with characteristics suited to application in the occupational field.
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
sensor was used to measure
and a
sensor to measure
. The KF methodology was used to develop the BKFB model.
An algorithm with a biphasic structure was developed using two different models for the increasing and decreasing phases of
, with the ability to switch between the two based on an
threshold.
estimates were compared with
measurements, and with respect to overall root mean square error (RMSE), the BKFB model achieved a sizeable reduction (0.28 ± 0.12°C) compared to the Buller et al. model (0.34 ± 0.16°C).
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
(for the up- and down-phases), which allowed for better behavioral modeling in the two different stages. The BKFB model provides
estimates reasonably in comparison to the measured intra-abdominal temperature values in both the activity and recovery phases but is more practical and easier to use for a real-time monitoring system of the workers' thermal states.