2018
DOI: 10.1109/tii.2018.2793905
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Wearable Continuous Body Temperature Measurement Using Multiple Artificial Neural Networks

Abstract: Continuous body temperature measurement (CBTM) is of great significance for human health state monitoring. To avoid interfering with users' daily activities, CBTM is usually achieved using wearable noninvasive thermometers. Current wearable noninvasive thermometers employ steady-state models used in nonwearable thermometers; as a result, the reaction time is long and the measurement can be disturbed by users' activities. However, there is no work to solve these issues. In this paper, first, differences between… Show more

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Cited by 46 publications
(26 citation statements)
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“…The basic principle of using neural network algorithm to identify bad data is to train the network with training samples. At present, the widely used neural networks mainly include BP neural network, Kohonen neural network and RBF neural network [16]. Although the method of identifying bad data by using neural network algorithm can explain the complex relationship between input vectors and output vectors of neural network, the training process of the network has a great influence on the identification effect of the algorithm [2].…”
Section: Identification Methods Based On Neural Network Algorithmmentioning
confidence: 99%
“…The basic principle of using neural network algorithm to identify bad data is to train the network with training samples. At present, the widely used neural networks mainly include BP neural network, Kohonen neural network and RBF neural network [16]. Although the method of identifying bad data by using neural network algorithm can explain the complex relationship between input vectors and output vectors of neural network, the training process of the network has a great influence on the identification effect of the algorithm [2].…”
Section: Identification Methods Based On Neural Network Algorithmmentioning
confidence: 99%
“…However, the weakness of LM35 and DS18B20 sensors for fever screening COVID-19 is that there must be contact with the sensor. For non-contact human body temperature, the MLX906 sensor is being used by many researchers [17] , [18] , [19] , [20] . It can measure a wide temperature range: -40 to 125°C for sensor temperature and -70 to 380°C for object temperature [21] .…”
Section: Hardware Descriptionmentioning
confidence: 99%
“…Song et al [ 41 ] proposed a wearable system based on multiple artificial neural networks which monitors the body temperature very precisely with shorter reaction time. Liu et al [ 42 ] proposed a wearable device as a physiological monitoring system that monitors body temperature, ECG, blood glucose, blood pressure, and some other physiological parameters.…”
Section: Supportive Wearable Devices For Covid-19 Patientsmentioning
confidence: 99%