Abstract

An individual's subjective health is intricately linked to the quality of their sleep. Monitoring vital signs such as body temperature and perspiration during sleep is critical for both clinical diagnosis and sleep assessment. This project utilizes various sensors, including LM35 temperature sensors, accelerometer, pulse sensor, proximity sensor, Arduino UNO, Node MCU, buzzer, and LED. Embedded sensors track the patient's movements, temperature, pulse rate, Spo2, and sleep patterns throughout the night. Collected data, including sleep duration, interruptions, and quality, is sent to a mobile app for analysis. The Internet of Things (IoT) facilitates automatic oxygen supply activation if needed. IoT-enabled pillows adjust surface and room temperature, ensuring a comfortable sleep environment based on patient preferences. Realtime data on temperature, oxygen level, breathing and pulse rates, and sleeping patterns are displayed on a mobile or PC interface. Consequently, this smart pillow serves as an efficient patient monitoring system, offering portability and ease of use.