Smart identification of heart rate in pregnant women

The heart plays a crucial role in human life, operating reflexively to maintain normal functioning. The typical human heart rate ranges from 60 to 100 beats per minute, with a decrease of 10 to 30 beats per minute during sleep. For pregnant women, controlling heart rate is essential to facilitate the delivery process, and monitoring aims to detect early changes in heart rate patterns during pregnancy. At Posyandu Kemuning 1A in Sukamakmur Village, Ciomas, data collection is currently conventional and not digitized, recorded in books and reported monthly to the village. To address these issues, a website is proposed to record and store data in a database, allowing for viewing, editing, and generating PDF reports. This study employs an android-based pulse sensor for identifying the heart rate of pregnant women. The system utilizes a Pulse sensor for input, a Wemos D1 R1 Microcontroller for processing, and the Blynk application and a database for output. The tool detects the heartbeat, while the website system acts as a database-based storage medium. The findings suggest that the created website system can assist Posyandu officers in monitoring patients’ heart rates and efficiently inputting data into the database. This digital solution enhances the accuracy and accessibility of heart rate data for pregnant women, improving overall monitoring and healthcare management.