Literature DB >> 33632262

On the way home: a BCI-FES hand therapy self-managed by sub-acute SCI participants and their caregivers: a usability study.

Anna Zulauf-Czaja1, Manaf K H Al-Taleb2,3, Mariel Purcell4, Nina Petric-Gray2, Jennifer Cloughley4, Aleksandra Vuckovic2.   

Abstract

BACKGROUND: Regaining hand function is the top priority for people with tetraplegia, however access to specialised therapy outwith clinics is limited. Here we present a system for hand therapy based on brain-computer interface (BCI) which uses a consumer grade electroencephalography (EEG) device combined with functional electrical stimulation (FES), and evaluate its usability among occupational therapists (OTs) and people with spinal cord injury (SCI) and their family members.
METHODS: Users: Eight people with sub-acute SCI (6 M, 2F, age 55.4 ± 15.6) and their caregivers (3 M, 5F, age 45.3 ± 14.3); four OTs (4F, age 42.3 ± 9.8). User Activity: Researchers trained OTs; OTs subsequently taught caregivers to set up the system for the people with SCI to perform hand therapy. Hand therapy consisted of attempted movement (AM) of one hand to lower the power of EEG sensory-motor rhythm in the 8-12 Hz band and thereby activate FES which induced wrist flexion and extension. Technology: Consumer grade wearable EEG, multichannel FES, custom made BCI application. LOCATION: Research space within hospital. Evaluation: donning times, BCI accuracy, BCI and FES parameter repeatability, questionnaires, focus groups and interviews.
RESULTS: Effectiveness: The BCI accuracy was 70-90%. Efficiency: Median donning times decreased from 40.5 min for initial session to 27 min during last training session (N = 7), dropping to 14 min on the last self-managed session (N = 3). BCI and FES parameters were stable from session to session. Satisfaction: Mean satisfaction with the system among SCI users and caregivers was 3.68 ± 0.81 (max 5) as measured by QUEST questionnaire. Main facilitators for implementing BCI-FES technology were "seeing hand moving", "doing something useful for the loved ones", good level of computer literacy (people with SCI and caregivers), "active engagement in therapy" (OT), while main barriers were technical complexity of setup (all groups) and "lack of clinical evidence" (OT).
CONCLUSION: BCI-FES has potential to be used as at home hand therapy by people with SCI or stroke, provided it is easy to use and support is provided. Transfer of knowledge of operating BCI is possible from researchers to therapists to users and caregivers. Trial registration Registered with NHS GG&C on December 6th 2017; clinicaltrials.gov reference number NCT03257982, url: https://clinicaltrials.gov/ct2/show/NCT03257982 .

Entities:  

Keywords:  Brain computer interface; Electroencephalography; Functional electrical stimulation; Rehabilitation; Spinal cord injury; Usability

Mesh:

Year:  2021        PMID: 33632262      PMCID: PMC7905902          DOI: 10.1186/s12984-021-00838-y

Source DB:  PubMed          Journal:  J Neuroeng Rehabil        ISSN: 1743-0003            Impact factor:   4.262


  44 in total

1.  Predictors of assistive technology abandonment.

Authors:  B Phillips; H Zhao
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2.  Therapeutic strategies used by occupational therapists in self-care training: a qualitative study.

Authors:  Susanne Guidetti; Kerstin Tham
Journal:  Occup Ther Int       Date:  2002       Impact factor: 1.448

3.  Cost savings associated with the use of community health centers.

Authors:  Patrick Richard; Leighton Ku; Avi Dor; Ellen Tan; Peter Shin; Sara Rosenbaum
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4.  Brain Painting: usability testing according to the user-centered design in end users with severe motor paralysis.

Authors:  Claudia Zickler; Sebastian Halder; Sonja C Kleih; Cornelia Herbert; Andrea Kübler
Journal:  Artif Intell Med       Date:  2013-09-13       Impact factor: 5.326

5.  Acceptance of brain-computer interfaces in amyotrophic lateral sclerosis.

Authors:  Andrew Geronimo; Helen E Stephens; Steven J Schiff; Zachary Simmons
Journal:  Amyotroph Lateral Scler Frontotemporal Degener       Date:  2014-11-05       Impact factor: 4.092

6.  Targeting recovery: priorities of the spinal cord-injured population.

Authors:  Kim D Anderson
Journal:  J Neurotrauma       Date:  2004-10       Impact factor: 5.269

7.  Assessment of brain-machine interfaces from the perspective of people with paralysis.

Authors:  Christine H Blabe; Vikash Gilja; Cindy A Chestek; Krishna V Shenoy; Kim D Anderson; Jaimie M Henderson
Journal:  J Neural Eng       Date:  2015-07-14       Impact factor: 5.379

8.  Physical activity promotion for people with spinal cord injury: physiotherapists' beliefs and actions.

Authors:  Toni L Williams; Brett Smith; Anthony Papathomas
Journal:  Disabil Rehabil       Date:  2016-12-05       Impact factor: 3.033

9.  Sensorimotor cortical plasticity during recovery following spinal cord injury: a longitudinal fMRI study.

Authors:  Michael T Jurkiewicz; David J Mikulis; William E McIlroy; Michael G Fehlings; Mary C Verrier
Journal:  Neurorehabil Neural Repair       Date:  2007-05-16       Impact factor: 3.919

10.  Changing demographics of spinal cord injury over a 20-year period: a longitudinal population-based study in Scotland.

Authors:  E J McCaughey; M Purcell; A N McLean; M H Fraser; A Bewick; R J Borotkanics; D B Allan
Journal:  Spinal Cord       Date:  2015-10-13       Impact factor: 2.772

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  5 in total

1.  Design-development of an at-home modular brain-computer interface (BCI) platform in a case study of cervical spinal cord injury.

Authors:  Kevin C Davis; Benyamin Meschede-Krasa; Iahn Cajigas; Noeline W Prins; Charles Alver; Sebastian Gallo; Shovan Bhatia; John H Abel; Jasim A Naeem; Letitia Fisher; Fouzia Raza; Wesley R Rifai; Matthew Morrison; Michael E Ivan; Emery N Brown; Jonathan R Jagid; Abhishek Prasad
Journal:  J Neuroeng Rehabil       Date:  2022-06-03       Impact factor: 5.208

2.  Automatic Selection of Control Features for Electroencephalography-Based Brain-Computer Interface Assisted Motor Rehabilitation: The GUIDER Algorithm.

Authors:  Emma Colamarino; Floriana Pichiorri; Jlenia Toppi; Donatella Mattia; Febo Cincotti
Journal:  Brain Topogr       Date:  2022-01-19       Impact factor: 3.020

3.  Implantable brain-computer interface for neuroprosthetic-enabled volitional hand grasp restoration in spinal cord injury.

Authors:  Iahn Cajigas; Kevin C Davis; Benyamin Meschede-Krasa; Noeline W Prins; Sebastian Gallo; Jasim Ahmad Naeem; Anne Palermo; Audrey Wilson; Santiago Guerra; Brandon A Parks; Lauren Zimmerman; Katie Gant; Allan D Levi; W Dalton Dietrich; Letitia Fisher; Steven Vanni; John Michael Tauber; Indie C Garwood; John H Abel; Emery N Brown; Michael E Ivan; Abhishek Prasad; Jonathan Jagid
Journal:  Brain Commun       Date:  2021-10-21

4.  Application of a Brain-Computer Interface System with Visual and Motor Feedback in Limb and Brain Functional Rehabilitation after Stroke: Case Report.

Authors:  Wen Gao; Zhengzhe Cui; Yang Yu; Jing Mao; Jun Xu; Leilei Ji; Xiuli Kan; Xianshan Shen; Xueming Li; Shiqiang Zhu; Yongfeng Hong
Journal:  Brain Sci       Date:  2022-08-16

5.  Earable Ω (OMEGA): A Novel Clenching Interface Using Ear Canal Sensing for Human Metacarpophalangeal Joint Control by Functional Electrical Stimulation.

Authors:  Kazuhiro Matsui; Yuya Suzuki; Keita Atsuumi; Miwa Nagai; Shotaro Ohno; Hiroaki Hirai; Atsushi Nishikawa; Kazuhiro Taniguchi
Journal:  Sensors (Basel)       Date:  2022-09-29       Impact factor: 3.847

  5 in total

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