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Event-driven, pattern-based methodology for cost-effective development of standardized personal health devices
Miguel Martínez-Espronceda1, Jesús D Trigo1, Santiago Led1
1Electrical and Electronics Engineering Department, Public University of Navarre (UPNA), Pamplona, Spain.
Computer Methods and Programs in Biomedicine
|August 16, 2014
Summary
This study introduces an event-driven methodology for developing cost-effective personal health devices (PHDs) compliant with ISO/IEEE11073 standards. The new approach significantly reduces memory consumption and latency, aiding wider adoption of standardized PHDs.
Area of Science:
- Biomedical Engineering
- Computer Science
- Embedded Systems
Background:
- Standards adoption in personal health devices (PHDs) faces challenges due to the trade-off between interoperability and implementation costs (processing load, development time).
- The ISO/IEEE11073 PHD family of standards (X73PHD) aims for interoperable communication but requires developers to manage implementation costs on resource-constrained microcontrollers.
- Previous pattern-based methodologies for X73PHD implementation on low-power devices utilized multitasking, demanding additional resources.
Purpose of the Study:
- To present an event-driven evolution of a pattern-based methodology for the cost-effective development of standardized personal health devices.
- To reduce hardware and software costs, and development time for implementing X73PHD standards.
- To enhance the adoption of interoperable communication standards in personal health devices.
Main Methods:
- Developed an event-driven methodology as an evolution of a previous multitasking, pattern-based approach for X73PHD implementation.
- Focused on creating cost-effective solutions for devices with low-voltage, low-power constraints.
- Compared the performance of the event-driven methodology against the previous multitasking version.
Main Results:
- The event-driven methodology demonstrated a mean decrease of 11.59% in memory consumption compared to the multitasking version.
- A significant mean reduction of 45.95% in cycles of latency was observed with the new methodology.
- The new approach offers enhancements in cost-effectiveness and development time.
Conclusions:
- The event-driven, pattern-based methodology facilitates the development of cost-effective X73PHD-compliant personal health devices.
- Reduced implementation costs and development time are key drivers for fostering the adoption of interoperability standards in the PHD sector.
- This approach can accelerate the deployment of standardized, interoperable personal health devices, particularly on resource-limited platforms.
