Smart Baby Incubator

Ahmed, Faique; Sufyan, Ali; Hussain, Shazil; Rehman, Ahad; Amin, Sundas; Salam, Yasir

doi:10.1109/icecube53880.2021.9628245

Cited by 4 publications

(3 citation statements)

References 20 publications

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“…Inkubator bayi yang baik adalah yang dapat menjaga suhu yang dibutuhkan secara stabil dan merata diseluruh ruang, sehingga inkubator perlu di kalibrasi secara berkala. Ukuran luas inkubator bayi umum sama yaitu panjang ±85cm, lebar ±41 cm, dan tinggi ±40 cm [7] [8]. Pada beberapa kasus ada kemungkinan suhu di dalam inkubator bisa berlebih atau kurang dari normal sehingga pada inkubator bayi umumnya di lengkapi dengan sistem keamanan dan alarm.…”

Section: Iunclassified

Analisis Tingkat Penyebaran Suhu Inkubator Bayi Dengan Sensor DS18B20

Arianto¹,

Siswoyo

2022

JIPA

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Inkubator bayi adalah alat khusus yang digunakan bayi baru lahir yang digunakan untuk menjaga suhu bayi tetap hangat. Suhu di dalam inkubator bayi bisa di atur sesuai dengan kebutuhan bayi. Bayi yang paling banyak membutuhkan inkubator adalah bayi yang lahir prematur dan bayi yang lahir dengan berat rendah. Inkubator bayi yang baik adalah yang dapat menjaga suhu yang dibutuhkan secara stabil dan merata diseluruh ruang. Pada penelitian ini akan fokus pada pengamatan pada penyebaran suhu di dalam inkubator bayi. Pengujian pada penelitian ini akan menggunakan inkubator bayi skala lab. Inkubator bayi akan di setting pada suhu 32℃ kemudian sensor-sensor suhu DS18B20 akan diletakkan di empat sisi di dalam ruang inkubator bayi tersebut. Kemudian akan dilakukan pengukuran selama 30 menit dan diambil data berjangka setiap 2 menit sekali. Prototipe baby incubator temperature analyzer berhasil dibuat dan diuji banding dengan beberapa sensor suhu lain, hasilnya DS18B20 stabil dan memang bisa menjadi pilihan sensor suhu yang baik. Hasil pada pengujian tingkat penyebaran panas pada inkubator bayi, ada ketidak merataan suhu pada tiap titik sensor dengan perbedaan 0,15 ~ 0,29℃. Jika dibandingkan dengan Environment meter Krisbow, hasil pengukuran Environment cenderung lebih rendah. Hasil analisis ini menunjukkan bahwa ada ketidakmerataan tingkat penyebaran suhu panas pada inkubator <0,30℃. Perlu dilakukan analisis lebih detail pada setiap setting suhu inkubator yaitu pada suhu 32~37℃ di penelitian lain.

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Section: Iunclassified

Analisis Tingkat Penyebaran Suhu Inkubator Bayi Dengan Sensor DS18B20

Arianto¹,

Siswoyo

2022

JIPA

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“…Infant incubators are important devices used to provide a controlled and stable environment for premature babies or babies with certain health conditions [1]. The incubator can maintain environmental conditions from outside conditions so that the baby becomes safe in the incubator [2], [3]. In the incubator, several important parameters must be closely monitored so that it requires more attention to care for babies in the incubator.…”

Section: Introductionmentioning

confidence: 99%

Developing a smart system for infant incubators using the internet of things and artificial intelligence

Aryanto,

Maneetham,

Triandini

2024

IJECE

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This research is developing an incubator system that integrates the internet of things and artificial intelligence to improve care for premature babies. The system workflow starts with sensors that collect data from the incubator. Then, the data is sent in real-time to the internet of things (IoT) broker eclipse mosquito using the message queue telemetry transport (MQTT) protocol version 5.0. After that, the data is stored in a database for analysis using the long short-term memory network (LSTM) method and displayed in a web application using an application programming interface (API) service. Furthermore, the experimental results produce as many as 2,880 rows of data stored in the database. The correlation coefficient between the target attribute and other attributes ranges from 0.23 to 0.48. Next, several experiments were conducted to evaluate the model-predicted value on the test data. The best results are obtained using a two-layer LSTM configuration model, each with 60 neurons and a lookback setting 6. This model produces an R<sup>2</sup> value of 0.934, with a root mean square error (RMSE) value of 0.015 and a mean absolute error (MAE) of 0.008. In addition, the R<sup>2</sup> value was also evaluated for each attribute used as input, with a result of values between 0.590 and 0.845.

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“…The medical device is an infant warmer that can provide a living environment for newborns like in the womb. Indeed, an infant warmer is a lifesaving & support equipment used to provide the temperature environment needed by the body of newborns [12].…”

Section: Introductionmentioning

confidence: 99%

Implementation of IoT of an Electric Infant Warmer to Prevent Hypothermia in Newborns

Fauzi,

Maharesi,

Setiyadi

2023

Journal of Robotics and Control

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Hypothermia is a drop in body temperature below 36.5°C in newborns. It results in an internal distribution of body heat from the nucleus to the periphery, followed by heat loss greater than metabolic production. Hypothermia is one of the factors predisposing to metabolic disorders, intracranial hemorrhage, respiratory distress, and Necrotizing enterocolitis. Hypothermia problems can be treated with infant warmers. Thus, the need for a infant warmer is considered to improve survival in newborns. This study aims to improve the accuracy of temperature monitoring, increase security, and enable remote monitoring. The temperature sensor of the device is calibrated with comparable devices such as Incubator Analyzer and Thermo hygrometer while the SpO2 sensor is calibrated with Spotlight SpO2 Functional Tester and Thermo hygrometer. Achievement and validation of temperature and oxygen saturation use a calibration comparison tool. The results of the temperature sensor measurements, including air temperature and skin sensor temperature, namely: air temperature error tolerance ≤2°C and skin sensor temperature error tolerance ± 0.5 ° C. All two indicators have the same standard deviation value of ±0.49. The SpO2 indicator reached an error tolerance value of ± 1% O2 with a standard deviation value of ± 0.6-0.9 from six trials. Then the pulse rate indicator obtained an error tolerance of ±5% with a standard deviation value of ±0.6. The smart infant warmer tool provides benefits to avoid excessive heat from the heater and minimize low temperatures that cause hypothermia through the Internet of Things technology. Furthermore, this research can be improved with machine learning technology to increase efficiency and effectiveness in patient treatment.

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Smart Baby Incubator

Cited by 4 publications

References 20 publications

Analisis Tingkat Penyebaran Suhu Inkubator Bayi Dengan Sensor DS18B20

Analisis Tingkat Penyebaran Suhu Inkubator Bayi Dengan Sensor DS18B20

Developing a smart system for infant incubators using the internet of things and artificial intelligence

Implementation of IoT of an Electric Infant Warmer to Prevent Hypothermia in Newborns

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