Authors : Ch. Shiva; B. Jagadeesh; Ch. Phanindra; S. Kishor Krishna Kumar

Volume/Issue : Volume 11 - 2026, Issue 3 - March

Google Scholar : https://tinyurl.com/yc7bxxht

Scribd : https://tinyurl.com/2s39yfz4

DOI : https://doi.org/10.38124/ijisrt/26mar556

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Abstract : Ensuring the physical safety of elderly and mobility-impaired individuals is a primary concern in modern healthcare, as delayed responses to falls often lead to severe medical complications. This paper details the development of an automated Patient Fall Monitoring System designed for real-time detection and rapid intervention. The architecture integrates a tri-axial MEMS accelerometer (ADXL345) for detailed motion tracking and posture analysis, paired with an optical sensor for physiological monitoring. A dedicated microcontroller evaluates sensor input through a specialized threshold-based algorithm to distinguish between routine daily movements and actual fall incidents. When a fall or abnormal vital sign is identified, the system triggers a local audible alert and utilizes a Bluetooth (HC-05) interface to send immediate notifications to connected mobile devices. This solution aims to improve patient autonomy and minimize the "long-lie" period following an accident.

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