Development IoT-based Infant Monitoring System for Preventing Sudden Infant Death Syndrome (SIDS) with Abnormal Condition Notifications and Lost Data Analysis

Abstract

Sudden Infant Death Syndrome (SIDS) is a devastating phenomenon where an otherwise healthy baby under the age of one inexplicably passes away without any apparent symptoms. It can be triggered by a variety of factors, including the baby's sleeping position and the infant's physiological state, which may not have reached a certain stage of development. Efficient monitoring of vital parameters such as body temperature and heart rate is crucial for assessing and safeguarding the baby's health. Additionally, such monitoring can help prevent febrile seizures that may lead to epilepsy. To address this critical need, a real-time monitoring tool capable of continuously tracking body temperature and heart rate with precision is required. This research aims to develop a novel system for real-time monitoring of vital parameters, specifically Respiration Rate, utilizing Piezo Electric sensors, and heart rate monitoring using the MAX30100 sensor. The proposed method involves designing a respiration and heart rate monitoring device that integrates piezoelectric sensors and ESP32 for data processing and communication. By employing these sensors and technology, we can accurately measure and track a baby's respiration rate and heart rate, facilitating early detection of potential abnormalities. The experimental results demonstrate the effectiveness of the monitoring tool, with a maximum difference value of 28.74% when compared to existing reference tools and a minimum difference of 0.00%. This highlights the reliability and accuracy of the proposed system. Furthermore, the study offers recommendations on optimal sensor placement to enhance the tool's efficacy, ensuring precise and consistent data acquisition. The proposed monitoring system goes beyond traditional methods by providing remote access to the gathered data. Doctors and healthcare professionals can access the output results through a dedicated website, enabling seamless collaboration and timely medical interventions when required. Moreover, the system incorporates telegram notifications to alert healthcare providers in case of abnormal conditions, further reducing the risk of SIDS and associated complications. In conclusion, this research presents a valuable contribution towards preventing Sudden Infant Death Syndrome (SIDS) by developing an efficient, real-time monitoring tool for assessing vital parameters in infants. By integrating Piezo Electric sensors and the MAX30100 sensor with ESP32, the system offers accurate measurements and seamless data accessibility to healthcare professionals. The potential of this tool to save lives and protect infants from the risks of SIDS makes it a critical advancement in infant healthcare. Further improvements and wider adoption of this technology can significantly enhance infant mortality rates globally