Authors: Dr.A.Ranganayakulu, Dr.D.Satyanarayana, Allam Lakshman, Tadikamalla Madhav Kumar, Pasala Harikrishna, Sandala Dinesh Kumar
Abstract: Immediate diagnosis and management are crucial in preventing serious consequences for older and mobility-impaired patients, since falls are a leading cause of injury in these populations. Using Arduino and Bluetooth, this project aims to create a patient fall monitoring system that can detect falls in real-time and notify caregivers immediately. A microelectromechanical system (MEMS) sensor detects abrupt and uncontrollable falls by continuously monitoring the patient's movement and assessing changes in posture, speed, and acceleration. By analyzing sensor data, a fall detection system that is based on thresholds may distinguish between normal activities and actual falls. The technology immediately notifies registered mobile devices over Bluetooth and activates a buzzer alarm for local alerting the moment a fall is detected. A wide variety of fall occurrences, such as sliding, tripping, and abrupt loss of balance, were detected with excellent sensitivity in the experiments. It was determined that the system reliably and without noticeable delay sent emergency alerts regardless of ambient conditions like vibrations and the range restrictions of Bluetooth. The open-source, ever-improving architecture of Arduino makes it possible to include Wi-Fi or cellular connection for expanded coverage in future expansions. The system's ability to monitor, notify, and intervene in real-time enhances patient safety.
DOI: http://doi.org/10.5281/zenodo.20394577
