Related Experiment Videos
Personal computer supported eight channel surface stimulator for paraplegic walking: first results
M Bijak1, C Hofer, H Lanmüller
1Department of Biomedical Engineering and Physics, University of Vienna, Austria. m.bijak@bmtp.akh-wien.ac.at
Artificial Organs
|June 23, 1999
Summary
This study introduces PC-based software to optimize functional electrical stimulation (FES) parameters for paraplegic patients. The software aids in restoring mobility through personalized FES, enabling standing, walking, and sitting tasks.
Area of Science:
- Biomedical Engineering
- Rehabilitation Technology
- Neuroprosthetics
Background:
- Functional electrical stimulation (FES) is crucial for restoring function in patients with paralysis.
- Current FES applications require meticulous setup of stimulation parameters.
- Existing methods for parameter optimization can be complex and time-consuming.
Purpose of the Study:
- To develop and evaluate PC-based software for FES parameter evaluation and data acquisition.
- To simplify and enhance the setup and optimization of FES parameters for improved patient mobility.
- To facilitate task-specific FES parameter adjustments for activities like standing, walking, and sitting.
Main Methods:
- Development of a personal computer (PC)-based software for FES parameter management.
- Utilized an 8-channel surface stimulator controlled via an 12C bus.
- Employed surface electrodes on quadriceps, gluteus muscles, and peroneal nerves for paraplegic patient mobilization.
- Adjusted up to 128 task-specific stimulation parameters.
Main Results:
- Successfully demonstrated the software's capability to set up and optimize FES parameters for paraplegic patients.
- Enabled paraplegic patients to perform functional tasks such as standing, walking, and sitting.
- Facilitated personalized FES configurations tailored to individual patient needs.
Conclusions:
- The developed PC-based software significantly improves the process of FES parameter optimization.
- This technology offers a promising approach to restoring mobility and enhancing the quality of life for individuals with lower extremity paralysis.
- Personalized and task-specific FES parameter tuning is key to effective functional restoration.