Embedded-Based Real-Time Assistance and Safety System for Alzheimer’s Patients

The Embedded-Based Real-Time Assistance and Safety System for Alzheimer’s Patients is designed to enhance patient safety, provide real-time health monitoring, and assist caregivers in emergency situations. The system integrates multiple embedded components controlled by a Raspberry Pi, serving as the central processing unit. A USB web camera continuously monitors the patient’s face and behavior patterns to detect symptoms associated with Alzheimer’s disease using machine learning or image recognition techniques. A GPS module provides continuous location tracking of the patient, while the GSM module sends automatic alert messages to caregivers or family members in case of abnormal activities, wandering, or emergency detection. An LCD display is used to show real-time system status and alerts, and a buzzer provides audible warnings for local alerts. The power supply ensures stable operation of all components. This system ensures patient safety by offering continuous monitoring, location tracking, and automated communication, thereby reducing caregiver burden and improving the quality of care for Alzheimer’s patients.

Keywords:

1.      Alzheimer’s Monitoring

2.      Raspberry Pi

3.      GSM and GPS Tracking

4.      Real-Time Assistance

5.      Patient Safety System