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Comparative Study on the Measurement of Human Thermal Activity

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@article{IJASEIT9958,
   author = {Awais Gul Airij and Rubita Sudirman and Usman Ullah Sheikh and Teruji Ide and Yusuke Nagata and Kiyotaka Kamata},
   title = {Comparative Study on the Measurement of Human Thermal Activity},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {9},
   number = {6},
   year = {2019},
   pages = {2160--2165},
   keywords = {arduino; healthcare; non-invasive; physiological signals; sensors; temperature.},
   abstract = {Human physiological signals measurement is the necessity of today’s modern world. The physiological signals, including heart rate, skin conductance, temperature, and pupil diameter, are significant indicators of underlying problems or illnesses and aid in indicating the underlying condition non-invasively. This study highlights the importance and needs for only one physiological signal, which is the body temperature as even a minor change in temperature values has a unique effect on the body. Hence, the present study focuses on comparing two well-known temperature sensors, namely DS18B20 and LM35, which are among the top choices for many temperature-based applications. The two sensors are compared in terms of cost, accuracy, temperature range, voltage, output type, implementation, packaging and required signal conditioning circuitry. The sole purpose is to find the adequacy of only one in terms of medical applications. The temperature readings are collected for 15 seconds from 10 participants between the age of 25 – 28 years and the data is sent to a microcontroller, which is Arduino Mega board. The microcontroller board processes the data for noise and artefacts removal and displays the final temperature readings on the serial monitor of Arduino IDE. The results highlight that DS18B20 is more accurate and robust in comparison to LM35, as it has lower fluctuations in the readings and is not affected by user movements. This study will help in the future development of healthcare systems, which may track the user’s thermal changes accurately in real-time.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=9958},
   doi = {10.18517/ijaseit.9.6.9958}
}

EndNote

%A Airij, Awais Gul
%A Sudirman, Rubita
%A Sheikh, Usman Ullah
%A Ide, Teruji
%A Nagata, Yusuke
%A Kamata, Kiyotaka
%D 2019
%T Comparative Study on the Measurement of Human Thermal Activity
%B 2019
%9 arduino; healthcare; non-invasive; physiological signals; sensors; temperature.
%! Comparative Study on the Measurement of Human Thermal Activity
%K arduino; healthcare; non-invasive; physiological signals; sensors; temperature.
%X Human physiological signals measurement is the necessity of today’s modern world. The physiological signals, including heart rate, skin conductance, temperature, and pupil diameter, are significant indicators of underlying problems or illnesses and aid in indicating the underlying condition non-invasively. This study highlights the importance and needs for only one physiological signal, which is the body temperature as even a minor change in temperature values has a unique effect on the body. Hence, the present study focuses on comparing two well-known temperature sensors, namely DS18B20 and LM35, which are among the top choices for many temperature-based applications. The two sensors are compared in terms of cost, accuracy, temperature range, voltage, output type, implementation, packaging and required signal conditioning circuitry. The sole purpose is to find the adequacy of only one in terms of medical applications. The temperature readings are collected for 15 seconds from 10 participants between the age of 25 – 28 years and the data is sent to a microcontroller, which is Arduino Mega board. The microcontroller board processes the data for noise and artefacts removal and displays the final temperature readings on the serial monitor of Arduino IDE. The results highlight that DS18B20 is more accurate and robust in comparison to LM35, as it has lower fluctuations in the readings and is not affected by user movements. This study will help in the future development of healthcare systems, which may track the user’s thermal changes accurately in real-time.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=9958
%R doi:10.18517/ijaseit.9.6.9958
%J International Journal on Advanced Science, Engineering and Information Technology
%V 9
%N 6
%@ 2088-5334

IEEE

Awais Gul Airij,Rubita Sudirman,Usman Ullah Sheikh,Teruji Ide,Yusuke Nagata and Kiyotaka Kamata,"Comparative Study on the Measurement of Human Thermal Activity," International Journal on Advanced Science, Engineering and Information Technology, vol. 9, no. 6, pp. 2160-2165, 2019. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.9.6.9958.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Airij, Awais Gul
AU  - Sudirman, Rubita
AU  - Sheikh, Usman Ullah
AU  - Ide, Teruji
AU  - Nagata, Yusuke
AU  - Kamata, Kiyotaka
PY  - 2019
TI  - Comparative Study on the Measurement of Human Thermal Activity
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 9 (2019) No. 6
Y2  - 2019
SP  - 2160
EP  - 2165
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - arduino; healthcare; non-invasive; physiological signals; sensors; temperature.
N2  - Human physiological signals measurement is the necessity of today’s modern world. The physiological signals, including heart rate, skin conductance, temperature, and pupil diameter, are significant indicators of underlying problems or illnesses and aid in indicating the underlying condition non-invasively. This study highlights the importance and needs for only one physiological signal, which is the body temperature as even a minor change in temperature values has a unique effect on the body. Hence, the present study focuses on comparing two well-known temperature sensors, namely DS18B20 and LM35, which are among the top choices for many temperature-based applications. The two sensors are compared in terms of cost, accuracy, temperature range, voltage, output type, implementation, packaging and required signal conditioning circuitry. The sole purpose is to find the adequacy of only one in terms of medical applications. The temperature readings are collected for 15 seconds from 10 participants between the age of 25 – 28 years and the data is sent to a microcontroller, which is Arduino Mega board. The microcontroller board processes the data for noise and artefacts removal and displays the final temperature readings on the serial monitor of Arduino IDE. The results highlight that DS18B20 is more accurate and robust in comparison to LM35, as it has lower fluctuations in the readings and is not affected by user movements. This study will help in the future development of healthcare systems, which may track the user’s thermal changes accurately in real-time.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=9958
DO  - 10.18517/ijaseit.9.6.9958

RefWorks

RT Journal Article
ID 9958
A1 Airij, Awais Gul
A1 Sudirman, Rubita
A1 Sheikh, Usman Ullah
A1 Ide, Teruji
A1 Nagata, Yusuke
A1 Kamata, Kiyotaka
T1 Comparative Study on the Measurement of Human Thermal Activity
JF International Journal on Advanced Science, Engineering and Information Technology
VO 9
IS 6
YR 2019
SP 2160
OP 2165
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 arduino; healthcare; non-invasive; physiological signals; sensors; temperature.
AB Human physiological signals measurement is the necessity of today’s modern world. The physiological signals, including heart rate, skin conductance, temperature, and pupil diameter, are significant indicators of underlying problems or illnesses and aid in indicating the underlying condition non-invasively. This study highlights the importance and needs for only one physiological signal, which is the body temperature as even a minor change in temperature values has a unique effect on the body. Hence, the present study focuses on comparing two well-known temperature sensors, namely DS18B20 and LM35, which are among the top choices for many temperature-based applications. The two sensors are compared in terms of cost, accuracy, temperature range, voltage, output type, implementation, packaging and required signal conditioning circuitry. The sole purpose is to find the adequacy of only one in terms of medical applications. The temperature readings are collected for 15 seconds from 10 participants between the age of 25 – 28 years and the data is sent to a microcontroller, which is Arduino Mega board. The microcontroller board processes the data for noise and artefacts removal and displays the final temperature readings on the serial monitor of Arduino IDE. The results highlight that DS18B20 is more accurate and robust in comparison to LM35, as it has lower fluctuations in the readings and is not affected by user movements. This study will help in the future development of healthcare systems, which may track the user’s thermal changes accurately in real-time.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=9958
DO  - 10.18517/ijaseit.9.6.9958