AUPA

AUPA provides automated monitoring and decision support for elderly and chronic-disease patients by using wireless sensor networks to collect, aggregate, and transmit physiological and environmental data.

Key Features:

• Microcontroller Integration: Uses ATmega microcontrollers with environmental sensors for real-time data collection and processing of patient vitals and environmental parameters.
• Data Management and Network Connectivity: Aggregates and manages health-related data via web servers and mobile networks with support for variable data handling.
• Adaptive Routing Techniques: Implements adaptive route discovery and management within the WSN to optimize data packet paths and reduce packet loss and delay.
• Quality of Service (QoS) Optimization: Minimizes signal loss rates and improves neighborhood node selection and link establishment to reduce jitter relative to SPIN and LEACH.
• Error Handling and Decision Support: Manages erroneous sensor data to provide optimized decision-making outputs for healthcare providers.

Scientific Applications:

• Early acute-event detection: Continuous monitoring of physiological and environmental signals to enable early detection of acute health events.
• Chronic condition management: Longitudinal data collection and aggregation to support ongoing monitoring of chronic diseases in elderly patients.
• Personalized healthcare delivery: Integration of sensor-derived patient data to inform individualized clinical decision support.
• Performance validation and comparison: Experimental evaluation of network performance metrics, including jitter reduction compared with SPIN and LEACH.

Methodology:

Deployment of a stack architecture integrating ATmega microcontrollers, environmental sensors, and adaptive routing protocols within a WSN; data collection, aggregation, and transmission to healthcare providers via web servers and mobile networks; QoS optimization for signal-loss minimization, neighborhood node selection, and link establishment, with experimental comparison of jitter against SPIN and LEACH; handling of erroneous data for decision support.