NDLI: Evaluation of a Prosthetic Swing-Phase Controller With Electrical Power Generation

Content Provider	IEEE Xplore Digital Library
Author	Andrysek, J. Liang, T. Steinnagel, B.
Copyright Year	2001
Abstract	With the increased presence of microprocessor-based prostheses in the market place, the availability of a self-energizing system has practical applicability. At present, most commercially available systems require the user to routinely recharge on-board batteries, which reduces the utility of these prostheses. To address this limitation, we have proposed a unique system based on an electromechanical generator to not only continually recharge batteries that are on-board the prostheses, but to also serve as a real time swing-phase damper. A prototype system was developed and evaluated with three active individuals with above-knee amputations across four damping conditions and two gait speeds. Gait and power generation performance were assessed via selected temporal, kinematic and kinetic parameters. Gait parameters including cadence and knee angle symmetry were found to be acceptable when knee damping was adapted for each participant. Across the three subjects and two walking speeds, between 0.57 and 1.57 W of electrical power was produced. These results indicate that this technology may be utilized for prosthetic swing-phase control and ultimately may alleviate the need for manually charging of microprocessor-based prostheses.
Sponsorship	IEEE Engineering in Medicine and Biology Society
Page Count	7
File Size	782951
Starting Page	390
Ending Page	396
File Format	PDF
ISSN	15344320
Volume Number	17
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Prosthetics Power generation Damping Batteries Knee Real time systems Shock absorbers Prototypes Kinematics Kinetic theory prosthesis Adaptive systems generator
Content Type	Text
Resource Type	Article
Subject	Neuroscience Rehabilitation Internal Medicine Biomedical Engineering Computer Science Applications

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