AIMC Topic: Body Temperature
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Machine learning-based non-invasive continuous dynamic monitoring of human core temperature with wearable dual temperature sensors.
Physiological measurement
Apr 3, 2025
Due to the growing demand for personal health monitoring in extreme environments, continuous monitoring of core temperature has become increasingly important. Traditional monitoring methods, such as mercury thermometers and infrared thermometers, may...
Biophysical versus machine learning models for predicting rectal and skin temperatures in older adults.
Journal of thermal biology
Feb 22, 2025
This study compares the efficacy of machine learning models to traditional biophysical models in predicting rectal (T) and skin (T) temperatures of older adults (≥60 years) during prolonged heat exposure. Five machine learning models were trained on ...
A practical deep learning model for core temperature prediction of specialized workers in high-temperature environments.
Journal of thermal biology
Feb 16, 2025
The health issues of hazardous operations in high-temperature environments are increasing concerns to the public, especially since global warming and extreme weather conditions have made the high-temperature work more frequent and harsher. The abnorm...
Imitating the respiratory activity of the brain stem by using artificial neural networks: exploratory study on an animal model of lactic acidosis and proof of concept.
Journal of clinical monitoring and computing
Aug 20, 2024
Artificial neural networks (ANNs) are versatile tools capable of learning without prior knowledge. This study aims to evaluate whether ANN can calculate minute volume during spontaneous breathing after being trained using data from an animal model of...
Lizard Body Temperature Acquisition and Lizard Recognition Using Artificial Intelligence.
Sensors (Basel, Switzerland)
Jun 26, 2024
The acquisition of the body temperature of animals kept in captivity in biology laboratories is crucial for several studies in the field of animal biology. Traditionally, the acquisition process was carried out manually, which does not guarantee much...
Driver drowsiness is associated with altered facial thermal patterns: Machine learning insights from a thermal imaging approach.
Physiology & behavior
Jun 23, 2024
Driver drowsiness is a significant factor in road accidents. Thermal imaging has emerged as an effective tool for detecting drowsiness by enabling the analysis of facial thermal patterns. However, it is not clear which facial areas are most affected ...
A non-invasive method to determine core temperature for cats and dogs using surface temperatures based on machine learning.
BMC veterinary research
May 14, 2024
BACKGROUND: Rectal temperature (RT) is an important index of core temperature, which has guiding significance for the diagnosis and treatment of pet diseases.
Deep Survival Analysis With Latent Clustering and Contrastive Learning.
IEEE journal of biomedical and health informatics
May 6, 2024
Survival analysis is employed to analyze the time before the event of interest occurs, which is broadly applied in many fields. The existence of censored data with incomplete supervision information about survival outcomes is one key challenge in sur...
Measurement and Processing of Thermographic Data of Passing Persons for Epidemiological Purposes.
Sensors (Basel, Switzerland)
Mar 8, 2023
Non-contact temperature measurement of persons during an epidemic is the most preferred measurement option because of the safety of personnel and minimal possibility of spreading infection. The use of infrared (IR) sensors to monitor building entranc...
Explainable deep learning model to predict invasive bacterial infection in febrile young infants: A retrospective study.
International journal of medical informatics
Jan 28, 2023
BACKGROUND: Machine learning models have demonstrated superior performance in predicting invasive bacterial infection (IBI) in febrile infants compared to commonly used risk stratification criteria in recent studies. However, the black-box nature of ...
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