Cost-Effective Sensor-Based Fetal Crib: A Paradigm for Neonatal Health Monitoring

This study explores the feasibility of a smart incubator system that integrates innovations across bioengineering, electrical and computer engineering, and neonatal care. The proposed system employs cost-effective, modular sensors—including those for temperature, humidity, gas concentration, sound levels, and wet-bed detection—to continuously track both environmental and physiological conditions of infants, ensuring high data accuracy and system reliability. Automated mechanisms manage key incubation parameters such as airflow, heat, and ultraviolet sterilization, aiming to minimize risks like erythema and respiratory complications. Additionally, a user-friendly interface aids healthcare professionals in clinical decision-making. Experimental outcomes highlight the system's effectiveness in medical environments. This design offers a scalable solution to advance infant health management and has broader implications for the standardization of future biomedical technologies.