Developing a Health Support System to Promote Care for the Elderly.

Area of Science:

• Biomedical Engineering
• Gerontology
• Health Informatics

Background:

• Aging population leads to increased dementia prevalence, impacting self-care and safety.
• Monitoring biological parameters is crucial for preventing accidents and health hazards in vulnerable individuals.
• Existing solutions may lack integrated safety and identification features for elderly care.

Purpose of the Study:

• To design and develop an armband with accurate location tracking for individuals with dementia and Alzheimer's disease.
• To integrate a fingerprint identification system for authorized access and healthcare visit tracking.
• To enhance the safety, independence, and healthcare transparency for the elderly and those with cognitive impairments.

Main Methods:

• Development of an armband prototype incorporating GPS and fingerprint sensors.
• Implementation of fall detection algorithms.
• Testing of GPS accuracy, fingerprint recognition rates, and fall detection performance.

Main Results:

• Fall detection achieved a 100% hit rate.
• Fingerprint recognition accuracy ranged from 88% to 100% for high-quality samples.
• GPS positioning accuracy was between 1.8 and 2.1 meters.

Conclusions:

• The designed armband meets desired specifications, offering reliable location tracking and biometric identification.
• The system can significantly benefit healthcare professionals, caregivers, and elderly individuals by improving safety and monitoring.
• This technology enhances healthcare reliability and transparency through secure access and visit tracing.