scholarly journals Body Temperature Monitoring for Regular COVID-19 Prevention Based on Human Daily Activity Recognition

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7540
Author(s):  
Lei Zhang ◽  
Yanjin Zhu ◽  
Mingliang Jiang ◽  
Yuchen Wu ◽  
Kailian Deng ◽  
...  
Keyword(s):  
Body Temperature ◽  
Surface Temperature ◽  
Body Surface ◽  
Daily Activity ◽  
Original Data ◽  
Temperature Monitoring ◽  
Normal Distribution Curve ◽  
Temperature Detection ◽  
Body Surface Temperature ◽  
Human Behavior Recognition

Existing wearable systems that use G-sensors to identify daily activities have been widely applied for medical, sports and military applications, while body temperature as an obvious physical characteristic that has rarely been considered in the system design and relative applications of HAR. In the context of the normalization of COVID-19, the prevention and control of the epidemic has become a top priority. Temperature monitoring plays an important role in the preliminary screening of the population for fever. Therefore, this paper proposes a wearable device embedded with inertial and temperature sensors that is used to apply human behavior recognition (HAR) to body surface temperature detection for body temperature monitoring and adjustment by evaluating recognition algorithms. The sensing system consists of an STM 32-based microcontroller, a 6-axis (accelerometer and gyroscope) sensor, and a temperature sensor to capture the original data from 10 individual participants under 4 different daily activity scenarios. Then, the collected raw data are pre-processed by signal standardization, data stacking and resampling. For HAR, several machine learning (ML) and deep learning (DL) algorithms are implemented to classify the activities. To compare the performance of different classifiers on the seven-dimensional dataset with temperature sensing signals, evaluation metrics and the algorithm running time are considered, and random forest (RF) is found to be the best-performing classifier with 88.78% recognition accuracy, which is higher than the case of the absence of temperature data (<78%). In addition, the experimental results show that participants’ body surface temperature in dynamic activities was lower compared to sitting, which can be associated with the possible missing fever population due to temperature deviations in COVID-19 prevention. According to different individual activities, epidemic prevention workers are supposed to infer the corresponding standard normal body temperature of a patient by referring to the specific values of the mean expectation and variance in the normal distribution curve provided in this paper.

scholarly journals Limitations of Forehead Infrared Body Temperature Detection for Fever Screening for Severe Acute Respiratory Syndrome

2004 ◽  
Vol 25 (12) ◽  
pp. 1109-1111 ◽  
Author(s):  
Chuan-Chuan Liu ◽  
Ray-E Chang ◽  
Wen-Cheng Chang
Keyword(s):  
Body Temperature ◽  
Severe Acute Respiratory Syndrome ◽  
Surface Temperature ◽  
Body Surface ◽  
Tympanic Temperature ◽  
Close Approximation ◽  
Temperature Detection ◽  
Measurement Methodology ◽  
Alternative Measurement ◽  
Body Surface Temperature

AbstractWe investigated alternative measurement methodology for infrared body thermometry to increase accuracy for outdoor fever screening during the 2003 SARS epidemic. Our results indicate that the auditory meatus temperature is a superior alternative compared with the forehead body surface temperature due to its close approximation to the tympanic temperature.

scholarly journals Thermal and cytokine responses to endotoxin challenge during early life

2017 ◽  
Vol 95 (12) ◽  
pp. 1488-1492
Author(s):  
Fiona B. McDonald ◽  
Ahmad M. Khawaja ◽  
Ahmad A. Imran ◽  
Margot E. Ellis ◽  
Kumaran Chandrasekharan ◽  
...  
Keyword(s):  
Body Temperature ◽  
Surface Temperature ◽  
Body Surface ◽  
Sudden Infant ◽  
Endotoxin Challenge ◽  
Rat Pups ◽  
Cytokine Responses ◽  
Cytokine Analysis ◽  
Custom Made ◽  
Body Surface Temperature

Sudden infant death syndrome (SIDS) remains the leading cause of infant mortality beyond the neonatal period. An increase in body temperature as a result of high environmental temperature, overwrapping of infants, and (or) infection are associated with SIDS. Endotoxins such as lipopolysaccharide (LPS) and heat stress may perturb cardiorespiratory function and thermoregulation. Although LPS-mediated body temperature and cytokine responses are well documented in older animals, the capacity of LPS to induce fever and cytokine response in young rats remains unclear. Therefore, we sought to investigate the acute effects of LPS on body temperature and cytokine concentrations in rat pups. Postnatal day 7 rat pups were divided into 3 groups: Group 1, rats were administered LPS intraperitoneally (200 μg/kg); Group 2, rats received saline at volume equal to that administered in the LPS group; Group 3, rats received no treatment. Pups were placed in custom-made chambers maintained at ambient temperature of 33 °C. Body surface temperature was continuously monitored for 4 h. Thereafter, the rats were euthanized and serum was collected for cytokine analysis. We demonstrate that LPS treatment increased MIP-1α, IL-10, MCP-1, IP-10, fractalkine, and TNF-α with no concurrent rise in body surface temperature. Although neonatal rats produced an array of cytokines in response to LPS, there was no evidence of fever.

scholarly journals HEARThermo: An Innovative Wearable Device for Monitoring Continuous Body Surface Temperature (Preprint)

2020 ◽  
Author(s):  
Chun-Yin Yeh ◽  
Yi-Ting Chung ◽  
Kun-Ta Chuang ◽  
Yu-Chen Shu ◽  
Po-Lin Chen ◽  
...  
Keyword(s):  
Body Temperature ◽  
Surface Temperature ◽  
Body Surface ◽  
Validation Study ◽  
Validation Studies ◽  
Continuous Monitoring ◽  
Human Subjects ◽  
Wearable Device ◽  
Body Surface Temperature ◽  
Test Retest Reliability

BACKGROUND Variations in body temperature are highly informative during illness. Researchers have not sufficiently investigated the feasibility of a wearable wrist device for the continuous monitoring of body surface temperature. OBJECTIVE The objective of this study is to develop and validate HEARThermo, an innovative wearable device, which intends to continuously monitor the body temperature on human subjects. METHODS We implemented a multi-method research design in this study, which included two validation studies in the laboratory and with human subjects. In Validation study I, we evaluated the test-retest reliability of HEARThermo in a laboratory to measure temperature and correct its values recorded by each HEARThermo by using linear regression models. We conducted Validation study II on human subjects who wore HEARThermo to measure their body surface temperatures. Additionally, we compared these values with the infrared skin thermometer simultaneously. We used the intraclass correlation coefficients (ICC) and Bland-Altman plots to analyze the criterion validity and agreement between the two measurement tools. RESULTS The two validation studies in the laboratory and on human skin indicated that HEARThermo showed a good test-retest reliability (ICC=0.96–0.98) and adequate criterion validity with the infrared skin thermometers at room temperatures of 20°C –27.9°C (ICC=0.72). The corrected measurement bias averaged -0.02°C, which was calibrated by using a water bath ranging in temperature from 16°C to 40°C. Bland-Altman plots showed no visualized systematic bias. HEARThermo had a bias of 1.51°C with 95% limit of agreement between -1.34°C and 4.35°C. CONCLUSIONS The study results provided validation for HEARThermo, an innovative wearable device, for the continuous monitoring of body surface temperature as a reference for developing future medical services.

Application of a Continuous Temperature Monitoring System among Healthcare Workers During the COVID-19 Pandemic: Prospective Cohort Study (Preprint)

2020 ◽  
Author(s):  
Chun-Yin Yeh ◽  
Yen-Chin Chen ◽  
Yi-Ting Chung ◽  
Chang-Chun Chen ◽  
Bo-Heng Chen ◽  
...  
Keyword(s):  
Heart Rate ◽  
Cohort Study ◽  
Body Temperature ◽  
Monitoring System ◽  
Body Surface ◽  
Prospective Cohort ◽  
Healthcare Workers ◽  
Temperature Monitoring ◽  
Body Surface Temperature ◽  
Continuous Temperature

BACKGROUND Healthcare workers (HCWs) are recommended to measure their body temperature every 8 hours to reduce the risk of cross infections during the COVID-19 pandemic in Taiwan. However, temperature reporting accuracy among HCWs is difficult to attain due to busy working schedules and high chances of human errors. OBJECTIVE This study describes the application of a continuous temperature monitoring system (HEARThermo Care AI.) based on the Internet of Things (IoT) among HCWs in hospitals during the COVID-19 outbreak. METHODS A prospective cohort study was conducted among HCWs in a major tertiary hospital in southern Taiwan. HCWs participated in this study wore HEARThermo, an innovative wearable device used to measure body surface temperature and heart rate every 10s, to continue monitoring their body surface temperature and heart rate during working hours. The HEARThermo Care AI. system combined with the routine body temperature measurement flow were used to automatedly notify the manager about the HCWs with fever risks. The completion rate of body temperature measurements was calculated as the number of HCWs using the continuous temperature monitoring system divided by the number of HCWs on duty. RESULTS A total of 52 HCWs (medical doctors, nurses, and interns) working in the medical ward between April 22 and June 30, 2020, voluntarily participated. The completion rate of body temperature measurements increased from 77.7% to 85% among HCWs in hospitals using HEARThermo Care AI. system. All the HCWs who received warning messages were reconfirmed by their managers and found they had discomforts at that time. CONCLUSIONS The application of the continuous temperature monitoring system serves as a solution to early identify HCWs suspected of having discomforts during the COVID-19 pandemic.

Core and body surface temperature changes during sledge hockey competition

2017 ◽  
Vol 26 (2) ◽  
pp. 1037-1044
Author(s):  
Eu-Jin Jung ◽  
Lae-Guen Jang ◽  
Geun-Hoon Choi ◽  
Hyon Park
Keyword(s):  
Surface Temperature ◽  
Body Surface ◽  
Temperature Changes ◽  
Body Surface Temperature

Seasonal changes in the body surface temperature of Hanwoo (Bos taurus coreanae) steers

2014 ◽  
Vol 54 (9) ◽  
pp. 1476 ◽  
Author(s):  
N. Y. Kim ◽  
S. J. Kim ◽  
J. H. Park ◽  
M. R. Oh ◽  
S. Y. Jang ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Ambient Temperature ◽  
Body Surface ◽  
Seasonal Changes ◽  
Bos Taurus ◽  
The Body ◽  
Body Regions ◽  
Extreme Cold ◽  
Body Surface Temperature ◽  
Average Body

The present study aimed to gather basic information on measuring body surface temperature (BST) of cattle by using infrared thermography (IRT) and find out whether BST measurement is a useful method to detect thermal balance of livestock. Twenty-seven Hanwoo steers were examined in a field trial. The BST of five body regions (eye, nose, horn, ear, rear) was measured five times daily, with three replicates, during 3 days each season. Body surface temperature of cattle is directly affected by ambient temperature and humidity, and showed different ranges for each region. The BSTs of nose, horns and ears were significantly (P < 0.05) lower than those of eyes and rear area. Rear-area BST was significantly lower than eye-area BST when the ambient temperature was low (P < 0.05). Eye BST (EBST) was highest (P < 0.05) and the least variable of all BSTs measured. Therefore, the eye area of cattle was the most thermostable part of the body. There were significant (P < 0.05) differences among seasonal EBSTs of steers. The EBST range was highest in the summer (37.9–42.2°C), followed by autumn (34.3–37.4°C), spring (33.8–36.5°C) and winter (29.8–32.6°C). During extreme cold, EBST showed a large standard deviation. During conditions of extreme heat, EBST was above the average body temperature of cattle. The results of the present study indicated that BST well reflects the thermal circumstances surrounding animals and may be used as one of the effective tools for precision cattle farming.

scholarly journals Pengaruh Waktu Istirahat Berbeda Sebelum Proses Pemotongan Terhadap Respon Suhu Permukaan Tubuh Sapi Brahman Cross

2021 ◽  
Vol 2 (1) ◽  
pp. 27-32
Author(s):  
M. Adhyatma ◽  
Gayuh Syaikhullah ◽  
Himmatul Khasanah
Keyword(s):  
Surface Temperature ◽  
Body Surface ◽  
Rest Period ◽  
The Body ◽  
Surface Temperature Change ◽  
Rest Periods ◽  
Randomized Design ◽  
Humidity Index ◽  
Body Surface Temperature ◽  
Data Collections

his study aims to assess the physiological response through body surface temperature of Brahman Cross beef by giving different rest periods. This study used 24 Brahman Cross cattle in several slaughterhouses in West Java. Observation of microclimatic conditions includes temperature, humidity, THI (temperature-humidity index). Data collections of livestock body surface temperature was carried out when the cattle arrive at the slaughterhouse, while they are in the holding pen and the restraining box. Comparative tests were carried out on the surface temperature of cows under different conditions using a completely randomized design (CRD). This study showed that the body surface temperature was still in the normal range, between 30.89-36.75 °C. Analysis of variance showed that different rest periods had a significant effect  (P <0.05) on body surface temperature change in the eye area in the three pre-cutting stages. Providing a 24 hours rest period resulted in lower stress response in livestock.

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