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Design and development of an automatic data acquisition system for a balance study using a smartcard system
C Ambrozy1, N A Kolar, F Rattay
1Medical University Vienna, Physical Medicine and Rehabilitation, Waehringer Gürtel 18-20, 1090, Vienna, Austria. clemens.ambrozy@meduniwien.ac.at
Journal of Medical Engineering & Technology
|July 14, 2010
Summary
This study introduces a smartcard-based system for automatic measurement value logging during balance training. It simplifies data acquisition and management for individual training plans, saving time in study development.
Area of Science:
- Biomedical Engineering
- Rehabilitation Technology
- Sports Science
Background:
- Balance training requires accurate measurement of board angle values.
- Existing methods for data acquisition can be time-consuming and complex.
- Personalized training plans are crucial for effective balance rehabilitation.
Purpose of the Study:
- To develop an automated measurement system for logging board angle values during balance training.
- To utilize smartcards for secure storage and retrieval of individual training data.
- To streamline the data acquisition process for balance studies.
Main Methods:
- A smartcard system with I2C protocol and E2PROM memory was employed for proband identification and data storage.
- A smartcard reader connected via USB to a notebook facilitated data retrieval.
- Data acquisition and smartcard reading programs were developed using Microsoft® Visual C#.
- Individual training plans were stored in separate files, with data saved in proband-specific directories.
- Automatic log-file generation ensured exact documentation of each event.
Main Results:
- The system enables automatic data acquisition of board angle values during balance training.
- Smartcards efficiently store and manage individual proband identification and training data.
- The developed software facilitates easy and time-saving study development and data management.
- Automated log-file creation ensures accurate and complete documentation of training sessions.
Conclusions:
- The developed smartcard-based measurement system simplifies and automates data logging for balance training studies.
- This approach enhances efficiency and accuracy in collecting and managing training data.
- The system provides a valuable tool for researchers and clinicians in balance assessment and rehabilitation.

