Monitoring Baby Incubator Central through Internet of Things (IoT) based on Raspberry Pi Zero W with Personal Computer View
kids born before 37 weeks of pregnancy or weighing less than 2500 grams are considered premature, whereas kids born between 38 and 40 weeks of pregnancy and between 2500 to 4000 grams are considered full-term. Given that their organ systems are still developing within the womb, premature infants fin...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Jurusan Teknik Elektromedik Politeknik Kesehatan Kemenkes Surabaya
2024-02-01
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| Series: | Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics |
| Subjects: | |
| Online Access: | https://ijeeemi.poltekkesdepkes-sby.ac.id/index.php/ijeeemi/article/view/284 |
| _version_ | 1797267015398850560 |
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| author | Dila Anggraeni Puspitasari Bambang Guruh Irianto Lamidi Lamidi Triwiyanto Triwiyanto |
| author_facet | Dila Anggraeni Puspitasari Bambang Guruh Irianto Lamidi Lamidi Triwiyanto Triwiyanto |
| author_sort | Dila Anggraeni Puspitasari |
| collection | DOAJ |
| description | kids born before 37 weeks of pregnancy or weighing less than 2500 grams are considered premature, whereas kids born between 38 and 40 weeks of pregnancy and between 2500 to 4000 grams are considered full-term. Given that their organ systems are still developing within the womb, premature infants find it difficult to adjust to life outside the womb. As a result, special consideration must be made. They include modifying the environment's temperature, humidity, and oxygen needs to reflect those of the mother's womb. These conditions might be replaced with a baby incubator. This tool's creation is intended to make it easier for midwives and other healthcare professionals to keep an eye on many baby incubators. The Internet of Things (IoT) system is used by this instrument to transfer data. Using three ESP32 modules that have been put together to create modules that can collect data and have that data analyzed by a server (central monitoring) Raspberry Pi Zero W. Data will be sent via Internet of Things (IoT) technology, and the website will display the data. Two tests were conducted at 32 degrees Celsius, one at 34 degrees Celsius, and one at 36 degrees Celsius for a total of five tests. This technique was developed using a form of pre-experimental, after-only study. In this configuration, researchers may only see the module reading results; incubator analyzer data are not shown. Error value 3 in monitoring at 32 degrees Celsius has a maximum error of -0.04 percent. The largest error value occurs when the temperature is set to 34 degrees Celsius, when the monitoring error value is -0.016%. Monitoring inaccuracy is at its highest, 0.01%, when the temperature is 36 degrees Celsius. The monitoring 3 error value is most at 32 degrees Celsius (-0.025 percent), followed by 34 degrees Celsius (0.031 percent), and finally 36 degrees Celsius (0.049 percent), as shown by data on noise measurements. The findings demonstrate that each measurement performed by the module still contains mistakes. Medical staff should find it easier to concurrently monitor many infant incubators thanks to this discovery. |
| first_indexed | 2024-04-25T01:09:52Z |
| format | Article |
| id | doaj.art-e63266cf30ed4466bff81e63e3b0b301 |
| institution | Directory Open Access Journal |
| issn | 2656-8624 |
| language | English |
| last_indexed | 2024-04-25T01:09:52Z |
| publishDate | 2024-02-01 |
| publisher | Jurusan Teknik Elektromedik Politeknik Kesehatan Kemenkes Surabaya |
| record_format | Article |
| series | Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics |
| spelling | doaj.art-e63266cf30ed4466bff81e63e3b0b3012024-03-10T10:28:58ZengJurusan Teknik Elektromedik Politeknik Kesehatan Kemenkes SurabayaIndonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics2656-86242024-02-0161101510.35882/ijeeemi.v6i1.284284Monitoring Baby Incubator Central through Internet of Things (IoT) based on Raspberry Pi Zero W with Personal Computer ViewDila Anggraeni Puspitasari0Bambang Guruh Irianto1Lamidi Lamidi2Triwiyanto Triwiyanto3Poltekkes Kemenkes SurabayaDepartment of Electromedical Engineering, Poltekkes Kemenkes Surabaya, Surabaya, IndonesiaDepartment of Electromedical Engineering, Poltekkes Kemenkes Surabaya, Surabaya, IndonesiaDepartment of Electromedical Engineering, Poltekkes Kemenkes Surabaya, Surabaya, Indonesiakids born before 37 weeks of pregnancy or weighing less than 2500 grams are considered premature, whereas kids born between 38 and 40 weeks of pregnancy and between 2500 to 4000 grams are considered full-term. Given that their organ systems are still developing within the womb, premature infants find it difficult to adjust to life outside the womb. As a result, special consideration must be made. They include modifying the environment's temperature, humidity, and oxygen needs to reflect those of the mother's womb. These conditions might be replaced with a baby incubator. This tool's creation is intended to make it easier for midwives and other healthcare professionals to keep an eye on many baby incubators. The Internet of Things (IoT) system is used by this instrument to transfer data. Using three ESP32 modules that have been put together to create modules that can collect data and have that data analyzed by a server (central monitoring) Raspberry Pi Zero W. Data will be sent via Internet of Things (IoT) technology, and the website will display the data. Two tests were conducted at 32 degrees Celsius, one at 34 degrees Celsius, and one at 36 degrees Celsius for a total of five tests. This technique was developed using a form of pre-experimental, after-only study. In this configuration, researchers may only see the module reading results; incubator analyzer data are not shown. Error value 3 in monitoring at 32 degrees Celsius has a maximum error of -0.04 percent. The largest error value occurs when the temperature is set to 34 degrees Celsius, when the monitoring error value is -0.016%. Monitoring inaccuracy is at its highest, 0.01%, when the temperature is 36 degrees Celsius. The monitoring 3 error value is most at 32 degrees Celsius (-0.025 percent), followed by 34 degrees Celsius (0.031 percent), and finally 36 degrees Celsius (0.049 percent), as shown by data on noise measurements. The findings demonstrate that each measurement performed by the module still contains mistakes. Medical staff should find it easier to concurrently monitor many infant incubators thanks to this discovery.https://ijeeemi.poltekkesdepkes-sby.ac.id/index.php/ijeeemi/article/view/284baby incubators, iot, esp32, raspberry pi zero w, humidity |
| spellingShingle | Dila Anggraeni Puspitasari Bambang Guruh Irianto Lamidi Lamidi Triwiyanto Triwiyanto Monitoring Baby Incubator Central through Internet of Things (IoT) based on Raspberry Pi Zero W with Personal Computer View Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics baby incubators, iot, esp32, raspberry pi zero w, humidity |
| title | Monitoring Baby Incubator Central through Internet of Things (IoT) based on Raspberry Pi Zero W with Personal Computer View |
| title_full | Monitoring Baby Incubator Central through Internet of Things (IoT) based on Raspberry Pi Zero W with Personal Computer View |
| title_fullStr | Monitoring Baby Incubator Central through Internet of Things (IoT) based on Raspberry Pi Zero W with Personal Computer View |
| title_full_unstemmed | Monitoring Baby Incubator Central through Internet of Things (IoT) based on Raspberry Pi Zero W with Personal Computer View |
| title_short | Monitoring Baby Incubator Central through Internet of Things (IoT) based on Raspberry Pi Zero W with Personal Computer View |
| title_sort | monitoring baby incubator central through internet of things iot based on raspberry pi zero w with personal computer view |
| topic | baby incubators, iot, esp32, raspberry pi zero w, humidity |
| url | https://ijeeemi.poltekkesdepkes-sby.ac.id/index.php/ijeeemi/article/view/284 |
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