DocumentCode :
1090948
Title :
Automatic Synchronization of Functional Electrical Stimulation and Robotic Assisted Treadmill Training
Author :
Dohring, Mark E. ; Daly, Janis J.
Author_Institution :
Louis Stokes Cleveland VA Med. Center, US Dept. of Veterans Affairs, Cleveland, OH
Volume :
16
Issue :
3
fYear :
2008
fDate :
6/1/2008 12:00:00 AM
Firstpage :
310
Lastpage :
313
Abstract :
This work presents a means to automatically synchronize two promising gait training technologies to address gait deficits in stroke survivors: functional electrical stimulation using intramuscular electrodes (FES-IM) and the Lokomat robotic gait orthosis. A system of hardware and software was developed to achieve the automatic synchronization. A series of bench tests were performed to verify the feasibility and reliability of automatic synchronization. The bench tests showed that automatic synchronization of FES-IM to the Lokomat gait cycle was feasible and reliable. Automatic synchronization was more consistent than manually triggered stimulation (10-fold smaller standard deviation of latency), and produced no early or missed stimulations across 634 strides. Automatic synchronization had greater accuracy than manually triggered stimulation, producing stimulation timed to an accuracy of 2.5% of one gait cycle duration (heel strike to heel strike ).
Keywords :
bioelectric phenomena; biomedical electrodes; gait analysis; medical robotics; neuromuscular stimulation; orthotics; patient rehabilitation; Lokomat robotic gait orthosis; functional electrical stimulation; gait training; intramuscular electrodes; robotic assisted treadmill training; stroke survivors; Automation; Neuromuscular Stimulation; Robots; functional electrical stimulation (FES); gait; neuromuscular stimulation; robots; Electric Stimulation Therapy; Equipment Design; Equipment Failure Analysis; Exercise Test; Feasibility Studies; Feedback; Gait Disorders, Neurologic; Humans; Physical Therapy Modalities; Robotics; Systems Integration;
fLanguage :
English
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1534-4320
Type :
jour
DOI :
10.1109/TNSRE.2008.920081
Filename :
4463637
Link To Document :
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