Health Monitoring and Assistance System for Wheelchair Patients

The growing burden of chronic illnesses and aging populations necessitates innovative solutions in healthcare. Remote patient monitoring offers a promising approach to continuously track health data outside of hospitals. This paper explores a novel patient monitoring system designed using STM NUCLEO and Blackpill development boards. This system captures vital health data such as SpO2, heart rate, body temperature, and even fall detection. A load cell sensor plays a crucial role in detecting falls, which could signify a medical emergency. Upon such detection, the system leverages a GSM module to transmit an emergency notification to the patient's designated caregiver, ensuring timely intervention. This paper delves into the design, implementation, and evaluation of the proposed patient monitoring system. The research emphasizes the system's potential to revolutionize patient care by enhancing safety and enabling remote monitoring, particularly in settings where patients reside alone.