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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Foglyano, K.M. Schnellenberger, J.R. Kobetic, R. |
| Copyright Year | 2011 |
| Description | Author affiliation: Cleveland VA Medical Center and the Cleveland APT Center, Cleveland, OH 44106 USA (Schnellenberger, J.R.) || Cleveland VA Medical Center and the Cleveland APT and FES Centers, Cleveland, OH 44106 USA (Foglyano, K.M.; Kobetic, R.) |
| Abstract | For stroke patients, functional electrical stimulation (FES) has been shown in the past to greatly reduce gait impairments. A critical element of the success of this intervention is accurate and reliable triggering of the stimulation for step initiation. Foot switches are the most commonly used devices for triggering hemiplegic FES gait, but they have been known to produce unreliable results and degrade over time. This paper outlines the development of a self-contained accelerometry-based gait stimulation system that can be worn around the waist and unlike other systems, adds no additional hardware or equipment to don or doff. An acceleration algorithm was developed and shown to have significantly shorter heel strike detection delays than when detecting with a heel sensor which could lead to improved stimulation timing for step initiation. |
| Starting Page | 5448 |
| Ending Page | 5451 |
| File Size | 625089 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424441211 |
| ISSN | 1557170X |
| e-ISBN | 9781457715891 |
| e-ISBN | 9781424441228 |
| DOI | 10.1109/IEMBS.2011.6091390 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-08-30 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Acceleration Delay Accelerometers Legged locomotion Foot Reliability Software algorithms |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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