EEG-Controlled Functional Electrical Stimulation Therapy With Automated Grasp Selection: A Proof-of-Concept Study.
Background: Functional electrical stimulation therapy (FEST) is a promising intervention for the restoration of upper extremity function after cervical spinal cord injury (SCI). Objectives: This study describes and evaluates a novel FEST system designed to incorporate voluntary movement attempts and...
| Publicado en: | Topics in Spinal Cord Injury Rehabilitation Vol. 24; no. 3; pp. 265 - 275 |
|---|---|
| Autores principales: | , , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
KnowledgeWorks Global, Ltd
Summer2018
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=130540363&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 130540363 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10820744 0OF jtl: Topics in Spinal Cord Injury Rehabilitation issn: 10820744 maglogo: N pubinfo: dt: Summer2018 vid: 24 iid: 3 pid: 81084 pub: KnowledgeWorks Global, Ltd place: Richmond, Virginia artinfo: ui: 130540363 130540363 130540363 10.1310/sci2403-265 130540363 ppf: 265 ppct: 10 formats: fmt: @attributes: type: P tig: atl: EEG-Controlled Functional Electrical Stimulation Therapy With Automated Grasp Selection: A Proof-of-Concept Study. aug: au: Jirapat Likitlersuang Koh, Ryan Xinyi Gong Jovanovic, Lazar Bolivar-Tellería, Isabel Myers, Matthew Zariffa, José Márquez-Chin, César affil: Toronto Rehabilitation Institute - University Health Network, Toronto, Canada sug: subj: Electroencephalography Electrical Stimulation, Functional Grip Strength Human Adult Male Female Myoelectric Prosthesis Brain-Computer Interfaces Upper Extremity Functional Status Spinal Cord Injuries Electrodes Scales Adult: 19-44 years Male Female ab: Background: Functional electrical stimulation therapy (FEST) is a promising intervention for the restoration of upper extremity function after cervical spinal cord injury (SCI). Objectives: This study describes and evaluates a novel FEST system designed to incorporate voluntary movement attempts and massed practice of functional grasp through the use of brain-computer interface (BCI) and computer vision (CV) modules. Methods: An EEG-based BCI relying on a single electrode was used to detect movement initiation attempts. A CV system identified the target object and selected the appropriate grasp type. The required grasp type and trigger command were sent to an FES stimulator, which produced one of four multichannel muscle stimulation patterns (precision, lateral, palmar, or lumbrical grasp). The system was evaluated with five neurologically intact participants and one participant with complete cervical SCI. Results: An integrated BCI-CV-FES system was demonstrated. The overall classification accuracy of the CV module was 90.8%, when selecting out of a set of eight objects. The average latency for the BCI module to trigger the movement across all participants was 5.9 ± 1.5 seconds. For the participant with SCI alone, the CV accuracy was 87.5% and the BCI latency was 5.3 ± 9.4 seconds. Conclusion: BCI and CV methods can be integrated into an FEST system without the need for costly resources or lengthy setup times. The result is a clinically relevant system designed to promote voluntary movement attempts and more repetitions of varied functional grasps during FEST. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|