Study on the Preparation and Implementation of a New Type Digital Electronic Thermometer

2013 ◽  
Vol 760-762 ◽  
pp. 1348-1353
Author(s):  
Ping Jun Tao ◽  
Sheng Zhou Yang ◽  
Yuan Zheng Yang ◽  
Xian Chao Chen ◽  
Ye Qiu Yu
Keyword(s):  
Body Temperature ◽  
The Body ◽  
Physiological Parameter ◽  
Life Activity ◽  
Display Module ◽  
Important Index ◽  
Measurement Results ◽  
Human Body Temperature ◽  
New Type ◽  
Electronic Thermometer

Human body temperature, as a manifestation of life activity, is an important physiological parameter of the new supersedes the old. The body temperature not only has physiological significance, but also has important clinical significance, which can be considered as an important index for clinical diagnosis. Based on the NTC temperature sensor as the core, through the whole system framework construction and the software control system design, a quick and accurate intelligent digital electronic thermometer was prepared. Under software control, intelligent temperature measurement is realized. The thermometer not only can accurately register the temperature, also has many functions such as broadcast and logic judgment on temperature, in which, the display module will judge and display the measurement results.

Arduino Promini-based Helmet Temperature Measuring Helmet with MLX90614-DCI Sensor

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Wahyu ja’far siddiq ◽  
Indah sulistiyowati
Keyword(s):  
Body Temperature ◽  
Clinical Symptoms ◽  
The Body ◽  
Shortness Of Breath ◽  
Turn On ◽  
Measurement Results ◽  
Accuracy Level ◽  
Human Body Temperature ◽  
Body Temperature Measurement ◽  
The Government

The Covid-19 pandemic that is currently spreading in Indonesia has claimed thousands of lives. Coronavirus Disease is characterized by the main clinical symptoms of fever >38 °C, coughing, to shortness of breath. In preventing its spread, the government conducts early detection by examining the main symptoms in the form of a fever and enforcing health protocols on each line. Therefore, we need an appropriate innovation that can make it easier for officers/guards to check human body temperature, especially in crowded places such as at airports, malls, or on the highway. Currently, body temperature measurement equipment is widely used, which allegedly made many errors in detecting it. Therefore, an innovative helmet was created that can be used by guards, security and even the police to detect body temperature based on the Arduino Pro Mini with the MLX90614-DCI sensor and the output is the real body temperature displayed on the LED screen. When the body temperature reads more than 38 °C, the helmet will turn on a buzzer and an LED to show that the target measurement is in a fever condition, and it is recommended going to the health center for further examination. This tool has been tested, and the sensor readings have an accuracy at a distance of 100 cm with several participants and the sensor readings are compared with the reading values from the alpha one thermometer and the measurement results have an accuracy level of 95%.

Rancang Bangun Pengukur Suhu Tubuh Dengan Multi Sensor Untuk Mencegah Penyebaran Covid-19

2021 ◽  
Vol 5 (3) ◽  
pp. 543-549
Author(s):  
Helmy Yudhistira Putra ◽  
Utomo Budiyanto
Keyword(s):  
Body Temperature ◽  
Temperature Measurement ◽  
Temperature Sensor ◽  
The Body ◽  
Body Temperatures ◽  
Heat Measurement ◽  
Turn On ◽  
Measurement Results ◽  
Door Lock ◽  
Body Heat

During the COVID-19 pandemic, the price of preventive equipment such as masks and hand sanitizers has increased significantly. Likewise, thermometers are experiencing an increase and scarcity, this tool is also sought after by many companies for screening employees and guests before entering the building to detect body temperatures that are suspected of being positive for COVID-19. The use of a thermometer operated by humans is very risky because dealing directly with people who could be ODP (People Under Monitoring/Suscpected ) or even positive for COVID-19, therefore we need tools for automatic body temperature screening and do not involve humans for the examination. This research uses the MLX-90614 body temperature sensor equipped with an ultrasonic support sensor to detect movement and measure the distance between the forehead and the temperature sensor so that the body heat measurement works optimally, and a 16x2 LCD to display the temperature measurement results. If the measured body temperature is more than 37.5 ° C degrees Celsius then the buzzer will turn on and the selenoid door lock will not open and will send a notification to the Telegram messaging application. The final result obtained is the formation of a prototype device for measuring body temperature automatically without the need to involve humans in measuring body temperature to control people who want to enter the building so as to reduce the risk of COVID-19 transmission

scholarly journals Design of Monitoring Tool Heartbeat Rate and Human Body Temperature Based on WEB

2018 ◽  
Vol 164 ◽  
pp. 01017 ◽  
Author(s):  
Jalinas ◽  
Wahyu Kusuma Raharja ◽  
Bobby Putra Emas Wijaya
Keyword(s):  
Heart Rate ◽  
Body Temperature ◽  
Human Body ◽  
Average Error ◽  
Web Pages ◽  
Test Results ◽  
Pulse Sensor ◽  
Measurement Results ◽  
Human Body Temperature ◽  
Error Percentage

The heart is one of the most important organs in the human body. One way to know heart health is to measure the number of heart beats per minute and body temperature also shows health, many heart rate and body temperature devices but can only be accessed offline. This research aims to design a heart rate detector and human body temperature that the measurement results can be accessed via web pages anywhere and anytime. This device can be used by many users by entering different ID numbers. The design consists of input blocks: pulse sensor, DS18B20 sensor and 3x4 keypad button. Process blocks: Arduino Mega 2560 Microcontroller, Ethernet Shield, router and USB modem. And output block: 16x2 LCD and mobile phone or PC to access web page. Based on the test results, this tool successfully measures the heart rate with an average error percentage of 2.702 % when compared with the oxymeter tool. On the measurement of body temperature get the result of the average error percentage of 2.18 %.

scholarly journals Measurement of Heart Rate, and Body Temperature Based on Android Platform

2020 ◽  
Vol 2 (1) ◽  
pp. 26-33
Author(s):  
Musyahadah Arum Pertiwi ◽  
I Dewa Gede Hari Wisana ◽  
Triwiyanto Triwiyanto ◽  
Sasivimon Sukaphat
Keyword(s):  
Heart Rate ◽  
Body Temperature ◽  
Temperature Sensor ◽  
Liquid Crystal Display ◽  
Vital Signs ◽  
Health Condition ◽  
The Body ◽  
Digital Data ◽  
Mental Condition ◽  
Measurement Results

Heart rate and body temperature can be used to determine the vital signs of humans. Heart rate and body temperature are two important parameters used by paramedics to determine the physical health condition and mental condition of a person. Because if your heart rate or body temperature is not normal then you need to make further efforts to avoid things that are not desirable. The purpose of this study is to design a heart rate and body temperature. In this study, the heart rate is detected using a finger sensor which placed on the finger. This sensor detects the heart rate pulses through infrared absorption of blood hemoglobin, and measure the body temperature using a DS18B20 temperature sensor which is placed axially. DS18B20 sensor works by converting temperature into digital data. The measurement results will be displayed on liquid crystal display (LCD) 2 x 16 and the data will be sent to android mobile phone via Bluetooth.  After the comparision beetwen the desain and the standart, the error is 0.46% for beats per minutes (BPM) parameters and 0.31 degrees Celsius for temperature parameters.

A New Method for Monitoring Deep Body Temperature from the Skin Surface

1973 ◽  
Vol 44 (1) ◽  
pp. 81-86 ◽  
Author(s):  
R. H. Fox ◽  
A. J. Solman ◽  
R. Isaacs ◽  
A. J. Fry ◽  
I. C. MacDonald
Keyword(s):  
Body Temperature ◽  
Heat Flow ◽  
Skin Surface ◽  
The Body ◽  
Deep Body Temperature ◽  
New Device ◽  
Body Shell ◽  
Electronic Thermometer ◽  
A New Technique ◽  
Deep Body

1. A new technique for monitoring the deep body temperature is described. The technique depends on creating a zone of zero heat-flow across the body shell; this brings the deep body temperature to the skin surface where it is measured with a simple electronic thermometer. 2. The new device gives a temperature closely comparable with other methods for measuring the deep body temperature in the resting subject, and is simple to use and socially acceptable.

Linearization of High Precision Human Body Temperature Measurement Circuit Based on NTC Thermistor

2015 ◽  
Vol 713-715 ◽  
pp. 381-384
Author(s):  
De Jun Li ◽  
Chi Gang Xing
Keyword(s):  
Body Temperature ◽  
The Body ◽  
Measuring System ◽  
Measurement Circuit ◽  
Actual Measurement ◽  
Thermistor Bridge ◽  
Ntc Thermistor ◽  
Human Body Temperature ◽  
Body Temperature Measurement ◽  
Linearization Problem

In the micro-climate cloth researching, we usually need to accurate measuring the body temperature, in this paper we choose the constant-voltage temperature measuring system based on the NTC thermistor to measure the temperature. Because the resistance of the thermistor and the temperature is not linear, so this will cause the output of the measurement circuit is not linear. In actual measurement we usually require the output of the circuit varies linearly in the required range. This paper mainly research the linearization problem of the NTC thermistor bridge circuit in the required temperature range.

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 Drosophila Temperature Preference Rhythms: An Innovative Model to Understand Body Temperature Rhythms

2019 ◽  
Vol 20 (8) ◽  
pp. 1988 ◽  
Author(s):  
Tadahiro Goda ◽  
Fumika N. Hamada
Keyword(s):  
Locomotor Activity ◽  
Body Temperature ◽  
The Body ◽  
Metabolic Energy ◽  
Temperature Preference ◽  
Preferred Temperature ◽  
Activity Rhythms ◽  
Temperature Rhythm ◽  
Body Temperature Rhythm ◽  
Human Body Temperature

Human body temperature increases during wakefulness and decreases during sleep. The body temperature rhythm (BTR) is a robust output of the circadian clock and is fundamental for maintaining homeostasis, such as generating metabolic energy and sleep, as well as entraining peripheral clocks in mammals. However, the mechanisms that regulate BTR are largely unknown. Drosophila are ectotherms, and their body temperatures are close to ambient temperature; therefore, flies select a preferred environmental temperature to set their body temperature. We identified a novel circadian output, the temperature preference rhythm (TPR), in which the preferred temperature in flies increases during the day and decreases at night. TPR, thereby, produces a daily BTR. We found that fly TPR shares many features with mammalian BTR. We demonstrated that diuretic hormone 31 receptor (DH31R) mediates Drosophila TPR and that the closest mouse homolog of DH31R, calcitonin receptor (Calcr), is essential for mice BTR. Importantly, both TPR and BTR are regulated in a distinct manner from locomotor activity rhythms, and neither DH31R nor Calcr regulates locomotor activity rhythms. Our findings suggest that DH31R/Calcr is an ancient and specific mediator of BTR. Thus, understanding fly TPR will provide fundamental insights into the molecular and neural mechanisms that control BTR in mammals.

Athlete’s physiological parameter monitoring system based on K-means and MTLS-SVM algorithm

2021 ◽  
pp. 1-9
Author(s):  
Yang Wu
Keyword(s):  
Body Temperature ◽  
Monitoring System ◽  
Prediction Accuracy ◽  
Medical Model ◽  
The Body ◽  
Physiological Parameter ◽  
Support Vector ◽  
Physiological Status ◽  
Trend Prediction ◽  
Parameter Monitoring

In the non-medical model physiological parameter monitoring system, learning the monitoring parameters can improve the diagnostic and prediction accuracy. Aiming at the problems of insufficient information mining and low prediction accuracy in multi-task time series, the supervised and semi-supervised learning methods in machine learning are combined to predict the physiological status of remote health monitoring objects. This method uses the K-means algorithm to cluster the same type of data and use the Multitasking Least Squares Support Vector Machine (MTLS-SVM) to train historical data for trend prediction. In order to evaluate the effectiveness of the method, the MTLS-SVM method is compared with the K-means and MTLS-SVM methods. It can be seen from the experimental results that the body temperature data measured by the GY-MCU90615 is close to that of the digital thermometer. Moreover, the body temperature speed collected by the GY-MCU90615 can reach the millisecond level, which can well meet the needs of the system. The research shows that the method has higher prediction accuracy and has a breakthrough significance for the monitoring of athletes’ physiological parameters.

scholarly journals Continuous and non-invasive thermography of mouse skin accurately describes core body temperature patterns, but not absolute core temperature

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Vincent van der Vinne ◽  
Carina A. Pothecary ◽  
Sian L. Wilcox ◽  
Laura E. McKillop ◽  
Lindsay A. Benson ◽  
...  
Keyword(s):  
Body Temperature ◽  
Near Infrared ◽  
Core Body Temperature ◽  
Mouse Skin ◽  
Invasive Procedure ◽  
The Body ◽  
Physiological Parameter ◽  
Reliable Estimate ◽  
Non Invasive ◽  
Core Body

AbstractBody temperature is an important physiological parameter in many studies of laboratory mice. Continuous assessment of body temperature has traditionally required surgical implantation of a telemeter, but this invasive procedure adversely impacts animal welfare. Near-infrared thermography provides a non-invasive alternative by continuously measuring the highest temperature on the outside of the body (Tskin), but the reliability of these recordings as a proxy for continuous core body temperature (Tcore) measurements has not been assessed. Here, Tcore (30 s resolution) and Tskin (1 s resolution) were continuously measured for three days in mice exposed to ad libitum and restricted feeding conditions. We subsequently developed an algorithm that optimised the reliability of a Tskin-derived estimate of Tcore. This identified the average of the maximum Tskin per minute over a 30-min interval as the optimal way to estimate Tcore. Subsequent validation analyses did however demonstrate that this Tskin-derived proxy did not provide a reliable estimate of the absolute Tcore due to the high between-animal variability in the relationship between Tskin and Tcore. Conversely, validation showed that Tskin-derived estimates of Tcore reliably describe temporal patterns in physiologically-relevant Tcore changes and provide an excellent measure to perform within-animal comparisons of relative changes in Tcore.

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