TY - GEN
T1 - Weight monitoring system for newborn incubator application
AU - Widianto, Arif
AU - Nurfitri, Intan
AU - Mahatidana, Pradipta
AU - Abuzairi, Tomy
AU - Poespawati, Nji Raden
AU - Purnamaningsih, Retno Wigajatri
N1 - Publisher Copyright:
© 2018 Author(s). Published by AIP Publishing.
PY - 2018/2/13
Y1 - 2018/2/13
N2 - We proposed weight monitoring system using load cell sensor for newborn incubator application. The weight sensing system consists of a load cell, conditioning signal circuit, and microcontroller Arduino Uno R3. The performance of the sensor was investigated by using the various weight from 0 up to 3000 g. Experiment results showed that this system has a small error of 4.313% and 12.5 g of threshold and resolution value. Compared to the typical baby scale available in local market, the proposed system has a lower error value and hysteresis.
AB - We proposed weight monitoring system using load cell sensor for newborn incubator application. The weight sensing system consists of a load cell, conditioning signal circuit, and microcontroller Arduino Uno R3. The performance of the sensor was investigated by using the various weight from 0 up to 3000 g. Experiment results showed that this system has a small error of 4.313% and 12.5 g of threshold and resolution value. Compared to the typical baby scale available in local market, the proposed system has a lower error value and hysteresis.
UR - http://www.scopus.com/inward/record.url?scp=85042379895&partnerID=8YFLogxK
U2 - 10.1063/1.5023983
DO - 10.1063/1.5023983
M3 - Conference contribution
AN - SCOPUS:85042379895
T3 - AIP Conference Proceedings
BT - 2nd Biomedical Engineering�s Recent Progress in Biomaterials, Drugs Development, and Medical Devices
A2 - Dhelika, Radon
A2 - Whulanza, Yudan
A2 - Ramahdita, Ghiska
A2 - Wulan, Praswasti P.D.K.
PB - American Institute of Physics Inc.
T2 - 2nd Biomedical Engineering's Recent Progress in Biomaterials, Drugs Development, and Medical Devices, ISBE 2017
Y2 - 25 July 2017 through 26 July 2017
ER -