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Recording of time-varying back-pain data: a wireless solution.
Tacha Serif1, Gheorghita Ghinea
1School of Information Systems, Computing and Mathematics, Brunel University, Uxbridge, Middlesex UB8 3PH, UK. tacha.serif@brunel.ac.uk
Summary
This study introduces a wireless system for collecting dynamic chronic back pain data, especially for wheelchair users. The technology facilitates convenient, real-time data collection, improving patient care and research.
Area of Science:
- Pain Management
- Health Informatics
- Biomedical Engineering
Background:
- Chronic back pain affects many adults, impacting economies and healthcare systems.
- Dynamic pain variations in specific patient groups, like wheelchair users, are anecdotally reported but lack robust data.
- Difficulty in precise, timely pain measurement hinders research and patient care.
Purpose of the Study:
- To present a novel wireless solution for collecting dynamic chronic back pain data.
- To overcome limitations in traditional pain measurement methods.
- To enable seamless data collection for improved patient treatment and care.
Main Methods:
- Development of a wireless-enabled system for data collection.
- Integration of questionnaire and pain drawing (diagrammatic) data input.
- Utilizing existing wireless fidelity (Wi-Fi) technology for data upload to hospital servers.
Main Results:
- The developed system facilitates anywhere/anytime data collection.
- Pain data can be gathered at precisely defined moments in time.
- The solution is perceived as easy-to-use and convenient by users.
Conclusions:
- The wireless solution effectively addresses challenges in collecting dynamic chronic back pain data.
- This technology can enhance the understanding and management of chronic back pain, particularly in specific patient populations.
- Improved data collection methods are crucial for advancing pain research and patient care.