Estimation of core body temperature from skin temperature, heat flux, and heart rate using a Kalman filter.
Comput Biol Med
; 99: 1-6, 2018 08 01.
Article
em En
| MEDLINE
| ID: mdl-29803944
ABSTRACT
Core body temperature (TC) is a key physiological metric of thermal heat-strain yet it remains difficult to measure non-invasively in the field. This work used combinations of observations of skin temperature (TS), heat flux (HF), and heart rate (HR) to accurately estimate TC using a Kalman Filter (KF). Data were collected from eight volunteers (age 22⯱â¯4â¯yr, height 1.75⯱â¯0.10â¯m, body mass 76.4⯱â¯10.7â¯kg, and body fat 23.4⯱â¯5.8%, mean⯱â¯standard deviation) while walking at two different metabolic rates (â¼350 and â¼550â¯W) under three conditions (warm 25⯰C, 50% relative humidity (RH); hot-humid 35⯰C, 70% RH; and hot-dry 40⯰C, 20% RH). Skin temperature and HF data were collected from six locations pectoralis, inner thigh, scapula, sternum, rib cage, and forehead. Kalman filter variables were learned via linear regression and covariance calculations between TC and TS, HF, and HR. Root mean square error (RMSE) and bias were calculated to identify the best performing models. The pectoralis (RMSE 0.18⯱â¯0.04⯰C; bias -0.01⯱â¯0.09⯰C), rib (RMSE 0.18⯱â¯0.09⯰C; bias -0.03⯱â¯0.09⯰C), and sternum (RMSE 0.20⯱â¯0.10⯰C; bias -0.04⯱â¯0.13⯰C) were found to have the lowest error values when using TS, HF, and HR but, using only two of these measures provided similar accuracy.
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Base de dados:
MEDLINE
Assunto principal:
Temperatura Cutânea
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Regulação da Temperatura Corporal
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Frequência Cardíaca
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Modelos Biológicos
Tipo de estudo:
Prognostic_studies
Limite:
Adult
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Humans
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Male
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article