An Innovative AAL System Based on IoT Technologies for Patients with Sarcopenia

Area of Science:

• Gerontology
• Biomedical Engineering
• Health Informatics

Background:

• Sarcopenia is a prevalent age-related muscle disorder linked to negative health outcomes.
• Regular monitoring of patients at risk is crucial for early detection and management of sarcopenia.
• Existing monitoring methods may lack the convenience and continuous data collection needed for effective management.

Purpose of the Study:

• To develop and validate an Internet of Things (IoT)-enabled wearable system for monitoring sarcopenia.
• To provide a high-value service for Ambient Assisted Living (AAL) by tracking sarcopenia progression.
• To offer an innovative, non-invasive clinical support tool for managing sarcopenia.

Main Methods:

• Utilized combined hardware and software technologies to create an IoT system.
• Designed a wearable, non-invasive system for continuous patient monitoring.
• Validated the system's performance and functionality using independent replications and statistical analysis (95% confidence interval, 5% max relative error).

Main Results:

• The proposed IoT system architecture was described and validated.
• Performance and functional assessments confirmed the system's reliability.
• Measurements of sarcopenia parameters demonstrated high accuracy and precision within specified error margins.

Conclusions:

• The developed IoT system offers a promising solution for monitoring sarcopenia.
• This technology can significantly enhance the quality of life and independence of the frail elderly population.
• Implementation as a clinical support tool has the potential to revolutionize sarcopenia care within AAL settings.