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Monitoring Baby Incubator Central Based Raspberry Pi Zero W with Temperature and Skin Temperature Parameter Based on IoT

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Monitoring tool enhances care for vulnerable infants, ensuring optimal environmental conditions in incubators.
Maximum error rate in chamber temperature measurements was only 0.009%, validating accuracy in data collection.
The technology integrates an ESP32 module and Raspberry Pi Zero W, providing real-time data via the Internet of Things.
The approach may improve monitoring capabilities for healthcare professionals, reducing discrepancies in incubator management.

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Innovation demonstrates precise temperature control in infant incubators, suggesting advancements in neonatal care monitoring.

Ningsih et al. (2025) studied this question.

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