A Closed-loop Brain-computer Interface for Stroke
NCT04465786 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 70
Last updated 2020-07-10
Summary
It may be hard to acquire stable sensorimotor rhythm from the affected motor cortex for patient without a response of paretic hand. A few studies suggest two ways to approaching closed-loop therapy: peripherally extracting the residual signals, for example electromyogram (EMG) at proximal muscles (deltoids) and centrally extracting the activity patterns from unaffected hemisphere during attempting to move paretic hand. Therefore, understanding neural signatures of residual upper extremity movement among stroke patients might help in discovering potential therapeutic target and developing tailored brain-computer interface (BCI) therapy. Additionally, 59.4% of stroke patients in acute stage impair at least one somatosensory modality. It remains unclear whether the patient with somatosensory impairment hinder BCI effect.
Conditions
Sponsors & Collaborators
-
Taipei Veterans General Hospital, Taiwan
lead OTHER_GOV
Eligibility
- Min Age
- 20 Years
- Max Age
- 80 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2020-07-13
- Primary Completion
- 2022-08-31
- Completion
- 2022-08-31
Countries
- Taiwan
Study Locations
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