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Experiences using WinCE PocketPCs as computation and data acquisition platforms for ambulatory telemonitoring
L Nagl1, B Krishnamurthi, S Schoenig
1Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS, USA.
A PocketPC running Windows CE (WinCE) can effectively manage medical data for remote animal monitoring. This study reviews the pros and cons of using this platform in ambulatory telemonitoring systems for large animals.
Area of Science:
- Veterinary Medicine
- Biomedical Engineering
- Telecommunications
Background:
- Ambulatory telemonitoring systems are crucial for continuous health assessment in animals.
- Wireless data acquisition and processing are key components of modern veterinary care.
- Evaluating portable computational platforms is essential for effective remote patient management.
Purpose of the Study:
- To assess the feasibility of using a Windows CE (WinCE) PocketPC as a central controller for ambulatory telemonitoring.
- To summarize the advantages and disadvantages of this specific hardware platform in a veterinary context.
- To inform future designs of remote animal health monitoring systems.
Main Methods:
- Utilized a WinCE PocketPC as the primary device for data acquisition and processing.
- Implemented wireless telemonitoring protocols for data transmission.
- Collected and analyzed data from large animal subjects in an ambulatory setting.
Main Results:
- The WinCE PocketPC demonstrated potential as a viable central controller for medical data management.
- Identified specific benefits and drawbacks associated with using this platform in real-world telemonitoring scenarios.
- Gained practical insights into the application of portable computing in veterinary remote care.
Conclusions:
- Windows CE (WinCE) PocketPCs offer a reasonable solution for data handling in ambulatory telemonitoring for large animals.
- The experiences highlight the importance of considering both the strengths and limitations of chosen hardware.
- This approach provides a foundation for developing more robust and efficient animal health surveillance technologies.
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