scholarly journals INCREASING THE RELIABILITY OF REMOTE METHODS FOR MEASURING THE TEMPERATURE OF THE SURFACE OF THE HUMAN BODY

2021 ◽  
Vol 4 (164) ◽  
pp. 197-202
Author(s):  
O. Krainiuk ◽  
Yu. Buts ◽  
V. Barbachyn ◽  
P. Lotsman ◽  
D. Kalchenko
Keyword(s):  
Body Temperature ◽  
Surface Temperature ◽  
Human Body ◽  
Black Body ◽  
Skin Surface ◽  
Operating Conditions ◽  
The Body ◽  
Practical Significance ◽  
Thermal Imager ◽  
Human Body Temperature

The aim of the work is to increase the reliability of remote methods of measuring the surface temperature of the human body. Common use of non-contact infrared (IR) devices for temperature screening. But it is important to pay attention to the accuracy of these systems to identify visitors or staff with an infectious disease. The following areas of improvement of metrological characteristics of non-contact devices for measuring human body temperature in a pandemic are identified: 15 cm, the presence in the equipment of a calibrated thermostable source of radiation, called the absolute black body (APT). An effective method of providing the most accurate measurements of skin surface temperature is associated with the use of "baseline sampling". To implement this method, a thermal imager measures the temperature of a specially selected group of perfectly healthy people, with whom the temperature of all others is compared. As a result of the conducted research the requirements to carrying out measurements of body temperature by IR thermometers for reception of reliable results are substantiated and offers on maintenance of these requirements for the purpose of increase of collective safety are put forward. It was found that the lack of calibration when measuring the body temperature of 50 university visitors with an IR thermometer is the cause of gross systematic error, which needs to be corrected by correcting. To increase the reliability of measurements, it is necessary to develop and test a simple and effective method of calibrating IR thermometers, suitable in normal operating conditions. Therefore, it is necessary to calibrate the IR thermometer before the measurements, which eliminates the systematic measurement error. The practical significance of the study is to determine the optimal conditions for the use of the device for non-contact temperature screening in a pandemic. The results of the work will be useful both for further study of increasing the reliability of the results of remote temperature measurement, and may be useful in the learning process.

scholarly journals The Influence of High Temperature Weather on Human Body Temperature Measurement by Infrared Thermal Imaging Thermometer

2021 ◽  
Vol 2112 (1) ◽  
pp. 012024
Author(s):  
Guangdong Mei ◽  
Senlin Peng ◽  
Zhiwei Zeng ◽  
Tingdi Liao ◽  
Yantang Huang
Keyword(s):  
High Temperature ◽  
Body Temperature ◽  
Human Body ◽  
Large Scale ◽  
The Body ◽  
Rapid Screening ◽  
Thermal Imager ◽  
Relative Temperature ◽  
Human Body Temperature ◽  
Infrared Thermal Imager

Abstract Infrared thermography thermometer is a non-contact temperature measuring equipment, which is widely used in the stage of large-scale epidemic of the covid-19 pandemic. It is used for rapid screening of human body temperature in crowded places at the entrance and exit of airports, docks, shopping malls, stations and schools. But when the outdoor temperature approaches or exceeds the body temperature in summer, can this method of measuring body surface temperature by infrared thermal imager be used as a standard for screening fever? Under the condition of high temperature in summer, the field experiment of measuring body temperature by infrared thermal imager is carried out, the experimental results are analyzed. We recommend the use of relative temperature difference for screening patients with fever.

scholarly journals ANDROID APPLICATION FOR MEASURING HUMAN BODY TEMPERATURE AND FORCASTING FUTURE ILLNESS

2014 ◽  
pp. 161-164
Author(s):  
S PRABHAKARAN ◽  
DHANESHWARI KUMARI ◽  
RIA AHUJA
Keyword(s):  
Operating System ◽  
Body Temperature ◽  
Mobile Device ◽  
Human Body ◽  
The Body ◽  
The Other ◽  
Android Application ◽  
Human Body Temperature ◽  
Normal Human ◽  
Android Operating System

Android Application for measuring human body temperature is a new age mobile thermometer. This kind of application already exists but requires manual feeding temperature. In our project, we propose an application which will measure the body temperature automatically while the user is operating the mobile device. It has an in-built function which can trigger alert messages whenever the temperature becomes critical more than normal human body temperature. The display segment of the device is made up of capacitive touch screen, which can act upon the bioelectricity produced by human body with each and every touch. This application requires Android Operating System Version 2.2. It will also diagnose the other diseases the user might have depending upon the symptoms entered.

scholarly journals Experimental Study on the Use of Thermoelectric Generators in Harvesting Human Body Heat

2018 ◽  
Vol 7 (4.35) ◽  
pp. 264
Author(s):  
N. Rosli ◽  
H. Mohamed
Keyword(s):  
Body Temperature ◽  
Human Body ◽  
Electrical Energy ◽  
The Body ◽  
Output Resistance ◽  
Running Activity ◽  
Humid Region ◽  
Human Body Temperature ◽  
Different Temperatures ◽  
Body Heat

The objective of this work is to investigate the potential use of a thermoelectric generator (TEG) in harvesting human body heat at four body locations namely forehead, wrist, palm and calf for different human activities in Malaysia. Important parameters for this experiment are human body temperature, room temperature, output voltage, output resistance and output power. A healthy male and female perform a series of activities including resting, walking and running for 10 minutes in an indoor setting. Results indicate the relevant effects of temperature and movement on producing power from human body heat. Different parts of the body have different temperatures, thus creating different output powers. Results show that as the movement increases, the human body temperature and the amount of energy harvested also increase. It is also observed that forehead provides the highest amount of power generated during running activity. When the body temperature is above 35 °C, the TEG can generate power more than 5.0 mW. The highest power generated during the experiment is 9.5 mW. Even though Malaysia is known as a hot and humid region, TEGs can be feasibly utilized as a wearable device that converts human heat energy into electrical energy.

scholarly journals A Novel Smart Textiles To Reflect Emotion

2021 ◽  
Author(s):  
JINGYU DAI ◽  
LING DUAN ◽  
HONGYU DAI ◽  
YUTONG XIE
Keyword(s):  
Social Interaction ◽  
Body Temperature ◽  
Human Body ◽  
Temperature Sensor ◽  
Thermoelectric Generator ◽  
The Body ◽  
Experimental Results ◽  
Smart Device ◽  
Human Body Temperature ◽  
Study Designs

Abstract The present study designs a wearable smart device regarding relationship between temperature and emotion. The device, amplifies, and sub-regionally transmits the current generated by the body temperature thermoelectric generator through a smart body temperature sensor. Different areas of clothing produce controllable and intelligent color, so that adult emotions can be understood through changes in clothing colors, which is conducive to judging their moods and promoting social interaction. Experimental results show that the device can accurately detect changes in human body temperature under hilarious, fearful, soothing, and angry emotions, so as to achieve changes in clothing colors, namely blue, red, green, and brown.

scholarly journals Humanoid Robot Application as COVID-19 Symptoms Checker Using Computer Vision and Multiple Sensors

ELKHA ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 105
Author(s):  
Muhammad Yeza Baihaqi ◽  
Vincent Vincent ◽  
Joni Welman Simatupang
Keyword(s):  
Body Temperature ◽  
Oxygen Saturation ◽  
Human Body ◽  
Humanoid Robot ◽  
Close Contact ◽  
The Body ◽  
Saturation Level ◽  
Upper Body ◽  
Oxygen Saturation Level ◽  
Human Body Temperature

Novel Corona Virus (nCoV) infects human’s respiratory system. It spreads easily when an infected person makes a close contact with other people. To prevent its massive spread, it is necessary to ensure anyone coming to a certain place is not being infected. The symptoms include high body temperature (≥37.5°C) and low oxygen saturation level (≤95%). This day, most places only check the human body temperature. Thus, the authors are interested to make an attempt to design a system that is able to measure both human body temperature and oxygen saturation level. This work also applies the 7-DoF Upper-Body of Humanoid Robot to prevent virus spread from and to the employee. The system will detect the coming of visitors by using face detection. It requires 7.24 seconds to detect the visitor without a mask, and 1.26 second when the visitor wears a mask. The body temperature measurement was done using GY-906 temperature sensor with an error of 0.51%. For the oxygen saturation level measurement, MAX30100 pulse oximeter module was applied and showed an error of 0.78%. In addition, the upper-body of humanoid robot will perform some gestures to instruct the visitors in every process of the system. The implemented 7-DoF upper-body of humanoid robot has 93.33% gesture comprehension rate. In conclusion, the overall system has been tested and showed success rate up to 75%.

scholarly journals Psychiatric liaison referrals and the 4PM Rush

BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S304-S304
Author(s):  
Kaj Svedberg
Keyword(s):  
Mental Health ◽  
Body Temperature ◽  
Correlation Coefficient ◽  
Human Body ◽  
Pearson Correlation ◽  
The Body ◽  
University Hospital ◽  
Pearson Correlation Coefficient ◽  
Human Body Temperature ◽  
Ambulance Attendance

AimsReferrals to the psychiatric Liaison team in A&E seem to come in the afternoon in kismet as the day shift is ending. This study looked at the timing distribution of referrals to try improve amount of jobs being handed over to the evening shifts.MethodReferrals made to Homerton University Hospital (HUH) psychiatric liaison was parsed into 1 hour bins and plotted as a histogram (data between August 2016–October 2019. N = 14182). The data were compared to diurnal human body temperature variation, as well as data published on Hospital Accident & Emergency Activity 2019–20 (digital.nhs.uk) for Ambulance attendances.ResultReferrals to HUH liaison team appear to closely follow the average human body temperature variations per hour (Pearson Correlation coefficient = 0.90). A peak appears to occur around 4 PM, and a low at 7AM. The referrals data also mirrored timings of official Hospital Episode Statistics (HES) reports 2019–2020 for ambulance attendance in England (Pearson Correlation coefficient = 0.94).ConclusionAttendance to A&E and referrals to psychiatric liaison appear correlated to a circadian bound rhythm. “The 4PM referrals rush” appears to be a genuine phenomenon replicated in not only HUH mental health referrals, but general ambulance attendance throughout all of England. The body temperature analogue for circadian rhythm may be humorously applied here to correlate with the increased referral rates to A&E; the emergency department could be said to be truly heating up in the afternoon. Indeed temperature and activity has already been shown to link strongly via the Arrhenius equation in cricket activity such as chirps per minute. The conclusions drawn here are that acute mental health attendances, like general health attendances as a whole follow underlying but powerful patterns, and provisions might best be allocated to address this rather than thinking of fixed 9-5 working schedules.

Infrared Thermography-Based Breast Cancer Detection — Comprehensive Investigation

2019 ◽  
Vol 33 (06) ◽  
pp. 1957002 ◽  
Author(s):  
Nermin K. Negied
Keyword(s):  
Breast Cancer ◽  
Body Temperature ◽  
Infrared Thermography ◽  
Cancer Detection ◽  
Human Body ◽  
Proper Time ◽  
Skin Surface ◽  
Fundamental Principle ◽  
Breast Cancer Detection ◽  
Human Body Temperature

Breast cancer has been reported to be the first deadly disease that affects women worldwide. This type of cancer has been reported to be the second leading cause of death in women worldwide. Medical reports have also reported that every woman is exposed to having breast cancer with an average probability of about 12%. It has also been reported to be the most common cancer that affects women. Fatality could be due to the cancer detection delay; in other words, early detection of the tumor can increase the survival rate of patients. Routine techniques of imaging modalities for cancer screening such as Mammography, Computated Tomography (CT) scan, Magnetic Resonance Imaging (MRI) and ultrasound are impractical tools for many reasons such as the irreproducible nature, the high error rate in cases of thick breasts, the pain and the annoyance they cause. Consequently, there is a need for more convincing strategies with high accuracy rates in breast cancer detection. Therefore, among the large variety of medical breast scanning techniques, thermography has attracted attention in applications related to detection and diagnosis. It is capable of providing helpful and useful information about the physiological variations and accordingly, it can detect tumors even in early stages. In addition, it is a very safe scanning tool, so as many needed tests can be held in proper time and manner. Thermography relies on the fact that human body temperature generally is a natural norm for the diagnosis of diseases. Thermography in medical applications applies infrared body examination tool which is fast, noninvasive, noncontact, pain free, radiation free and flexible to monitor the temperature of the human body. The fundamental principle of thermography relies on physiology such as the distribution of temperature on the skin surface. Infrared thermography scanning for breasts is an imaging technique which essentially searches for temperature change in human body. Temperature variance could be considered as a good indicator of tumor occurrence in the scanned area. Tumor mainly causes a noteworthy increase in blood vessel circulation and metabolic activity, so it causes higher radiations emitted from the human body around the regions of tumor. The paper surveys the literature work conducted in the field of breast cancer detection from thermogram scans. The survey is followed by a discussion of the strengths and weaknesses of thermography-based tumor detection. A new research idea and some considerations are then suggested based on that discussion to achieve better results in this critical area.

scholarly journals Temperature dependence of the rigid amorphous fraction of poly(butylene succinate)

RSC Advances ◽  
2021 ◽  
Vol 11 (41) ◽  
pp. 25731-25737
Author(s):  
Maria Cristina Righetti ◽  
Maria Laura Di Lorenzo ◽  
Patrizia Cinelli ◽  
Massimo Gazzano
Keyword(s):  
Body Temperature ◽  
Temperature Dependence ◽  
Human Body ◽  
Room Temperature ◽  
Rigid Amorphous Fraction ◽  
Butylene Succinate ◽  
Amorphous Fraction ◽  
Human Body Temperature ◽  
Rigid Amorphous

At room temperature and at the human body temperature, all the amorphous fraction is mobile in poly(butylene succinate).

CLASSIFICATION OF HUMAN FACIAL AND AURAL TEMPERATURE USING NEURAL NETWORKS AND IR FEVER SCANNER: A RESPONSIBLE SECOND LOOK

2005 ◽  
Vol 05 (01) ◽  
pp. 165-190 ◽  
Author(s):  
E. Y. K. NG ◽  
COLIN CHONG ◽  
G. J. L. KAW
Keyword(s):  
Neural Network ◽  
Body Temperature ◽  
False Negative ◽  
The Body ◽  
Body Core Temperature ◽  
Thermal Imager ◽  
Facial Skin ◽  
Thermal Imagers ◽  
Cardinal Symptom ◽  
Elevated Body Temperature

Severe Acute Respiratory Syndrome (SARS) is a highly infectious disease caused by a coronavirus. Screening to detect potential SARS infected subject with elevated body temperature plays an important role in preventing the spread of SARS. The use of infrared (IR) thermal imaging cameras has thus been proposed as a non-invasive, speedy, cost-effective and fairly accurate means for mass blind screening of potential SARS infected persons. Infrared thermography provides a digital image showing temperature patterns. This has been previously utilized in the detection of inflammation and nerve dysfunctions. It is believed that IR cameras may potentially be used to detect subjects with fever, the cardinal symptom of SARS and avian influenza. The accuracy of the infrared system can, however, be affected by human, environmental, and equipment variables. It is also limited by the fact that the thermal imager measures the skin temperature and not the body core temperature. Thus, the use of IR thermal systems at various checkpoints for mass screening of febrile persons is scientifically unjustified such as what is the false negative rate and most importantly not to create false sense of security. This paper aims to study the effectiveness of infrared systems for its application in mass blind screening to detect subjects with elevated body temperature. For this application, it is critical for thermal imagers to be able to identify febrile from normal subjects accurately. Minimizing the number of false positive and false negative cases improves the efficiency of the screening stations. False negative results should be avoided at all costs, as letting a SARS infected person through the screening process may result in potentially catastrophic results. Hitherto, there is lack of empirical data in correlating facial skin with body temperature. The current work evaluates the correlations (and classification) between the facial skin temperatures to the aural temperature using the artificial neural network approach to confirm the suitability of the thermal imagers for human temperature screening. We show that the Train Back Propagation and Kohonen self-organizing map (SOM) can form an opinion about the type of network that is better to complement thermogram technology in fever diagnosis to drive a better parameters for reducing the size of the neural network classifier while maintaining good classification accuracy.

Sign in / Sign up

Export Citation Format

Share Document