Robot-Aided Neuro-Recovery
<jats:p>This article explains how robots can help people recover after neurological injury. The most successful robot-administered therapy to aid neuro-recovery is based on several principles of learning. A visual display indicates a target location to which the patient should attempt to move....
| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
ASME International
2021
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| Online Access: | https://hdl.handle.net/1721.1/135105 |
| _version_ | 1826189403652882432 |
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| author | Hogan, Neville |
| author_facet | Hogan, Neville |
| author_sort | Hogan, Neville |
| collection | MIT |
| description | <jats:p>This article explains how robots can help people recover after neurological injury. The most successful robot-administered therapy to aid neuro-recovery is based on several principles of learning. A visual display indicates a target location to which the patient should attempt to move. The robot sets up a virtual channel between the current location of the patient’s limb and the target location. If the patient moves along that channel, no forces are experienced. However, if the patient’s motion deviates to either side of that channel, those aiming errors are permitted but resisted by a programmable damped spring. If the patient moves too slowly (or does not initiate movement at all), the back wall of the channel (the end at the patient’s starting location) moves smoothly towards the target location, nudging the patient to the target. Repeating this process with high intensity provides the stimulus and statistics for the brain to reacquire movement control and coordination. Passively moving a patient’s limbs may help improve joint mobility.</jats:p> |
| first_indexed | 2024-09-23T08:14:11Z |
| format | Article |
| id | mit-1721.1/135105 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T08:14:11Z |
| publishDate | 2021 |
| publisher | ASME International |
| record_format | dspace |
| spelling | mit-1721.1/1351052021-10-28T05:00:26Z Robot-Aided Neuro-Recovery Hogan, Neville <jats:p>This article explains how robots can help people recover after neurological injury. The most successful robot-administered therapy to aid neuro-recovery is based on several principles of learning. A visual display indicates a target location to which the patient should attempt to move. The robot sets up a virtual channel between the current location of the patient’s limb and the target location. If the patient moves along that channel, no forces are experienced. However, if the patient’s motion deviates to either side of that channel, those aiming errors are permitted but resisted by a programmable damped spring. If the patient moves too slowly (or does not initiate movement at all), the back wall of the channel (the end at the patient’s starting location) moves smoothly towards the target location, nudging the patient to the target. Repeating this process with high intensity provides the stimulus and statistics for the brain to reacquire movement control and coordination. Passively moving a patient’s limbs may help improve joint mobility.</jats:p> 2021-10-27T20:10:46Z 2021-10-27T20:10:46Z 2014 2020-07-21T15:44:11Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/135105 en 10.1115/9.2014-SEP-4 Mechanical Engineering Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf ASME International ASME |
| spellingShingle | Hogan, Neville Robot-Aided Neuro-Recovery |
| title | Robot-Aided Neuro-Recovery |
| title_full | Robot-Aided Neuro-Recovery |
| title_fullStr | Robot-Aided Neuro-Recovery |
| title_full_unstemmed | Robot-Aided Neuro-Recovery |
| title_short | Robot-Aided Neuro-Recovery |
| title_sort | robot aided neuro recovery |
| url | https://hdl.handle.net/1721.1/135105 |
| work_keys_str_mv | AT hoganneville robotaidedneurorecovery |