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Brain Computer Interface (BCI) Integrated Wearable Hand Robotic Glove System for Upper Limb Stroke Rehabilitation

T

Tan Tock Seng Hospital

Status

Enrolling

Conditions

Stroke

Treatments

Device: Brain Computer Interface integrated HandyRehab platform (BCI-HR)
Device: HandyRehab (HR)
Other: Standard Treatment of Care

Study type

Interventional

Funder types

Other

Identifiers

NCT06076928
DSRB 2022/00694

Details and patient eligibility

About

Upper extremity (UE) recovery remains a huge rehabilitation challenge with largely incomplete recovery of the upper limb post stroke. This is due to heavier priorities placed on other stroke competencies such as mobility, activities of daily living training and home integration which results in suboptimal amounts of time spent in upper limb training post stroke.

In this study the investigators plan to pilot brain computer interface (BCI) integrated wearable hand robotic glove (HandyRehab) system for upper limb stroke rehabilitation.

Full description

Robot-aided therapy have shown promising results in rehabilitation recovery in stroke patients while reducing strain and effort for both the therapist and suitable patients.

HandyRehab (HR) is a portable, wearable hand robotic glove used for functional training. The integration of Brain Computer Interface (BCI) platform with HR provides an alternative way of communication or intended movement through end-effectors for stroke and potentially facilitate neuroplasticity, improving motor functions.

This study aims to validate the usability of intensive training with HandyRehab (HR) compared with conventional occupational therapy (CT). Feasibility and safety of the novel BCI-HR will be examined and objective measures of clinical efficacy will be compared across all 3 platforms.

Enrollment

60 estimated patients

Sex

All

Ages

21 to 85 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  1. Age 21-85 years, males and females

  2. First diagnosis of stroke (ischemic or haemorrhagic), confirmed by neurologist/neurosurgeon/CT/MRI imaging

  3. > 16 weeks post stroke

  4. Hemiplegic pattern of post-stroke weakness

  5. MRC ≥ 2/5 motor power and above for shoulder abduction & elbow flexion

  6. MRC 0 to 4/5 motor power and above for finger flexors &/or extensors of thumb, index, middle fingers

  7. Screening Fugl-Meyer wrist hand sub score <18/24

  8. Spasticity MAS <3 for thumb, index, and middle fingers

  9. Able to discriminate thumb and index sensation to pain

  10. Hand sizes within 170-200mm (length) &75-85mm (width), compatible with HandyRehab robotic glove

  11. BCI compatible brain states using a standardised screening protocol

  12. Able to understand simple commands with Mini Mental state examination scores MMSE > 21/30)

  13. Able to give informed consent

    • Subjects who are unable to clear BCI screening 11. will be randomised to either CT or HR groups.

Exclusion criteria

Neurological

  • Recurrent stroke
  • Diagnosis of neurodegenerative disease; e.g. Parkinson's' disease, Dementia, ALS

Medical:

  • unstable medical or neurological conditions, life expectancy <6 months, end-organ renal failure on dialysis, severe heart failure, postural hypotension, history of uncontrolled sepsis, epilepsy with seizure within 3 months of informed consent, skin conditions which could potentially be worsened by wearable robot (ulcers, open wounds, eczema, infections etc)

Postural:

  • Unable to tolerate upright posture or sit unaided for < 90min with rest breaks
  • Cognitive/behavioural/visual:
  • Severe dysphasia/aphasia, severe visual neglect/blindness, untreated severe depression, psychiatric illness, unable to understand study requirements

Upper limb:

  • Moderate to severe spasticity (Modified Ashworth scale MAS ≥2)
  • Hand/arm related pain (VAS Pain ≥ 5/10),
  • Presence of finger contractures, reduced functional range of motion, limiting functional wrist/finger movements, active fractures or arthritis with deformities
  • Severe limb ataxia/apraxia
  • Severe post stroke hemi-anaesthesia in affected UE

BCI incompatibility:

  • Motor imagery EEG signals unable to be detected
  • Presence of craniectomy skull defect (affecting BCI cap fit and electrode contact)
  • Concomitant participation in other interventional research trials
  • Resident of nursing home or overseas country which may compromise attendance at research site
  • Pregnant or lactating females will not be allowed to participate

Trial design

Primary purpose

Treatment

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Single Blind

60 participants in 3 patient groups

Conventional supervised occupational therapy (CT)
Sham Comparator group
Description:
CT consists of standard occupational therapy for hand function which includes but not limited to the following treatment (1) passive and active mobilisation; (2) spasticity management; (3) training with use of various modalities/equipment; (4) gross and fine motor training including reach and grasp/release functions, and object manipulation; (5) grasp training: cylindrical, spherical, intrinsic, 2-finger pincer and 3-finger grip.
Treatment:
Other: Standard Treatment of Care
HandyRehab (HR) with supervised training by OT
Active Comparator group
Description:
HR training consists of (1) passive and active mobilisation (2) spasticity management (3) gross motor training with HR applied (4) grasp training: cylindrical, spherical, intrinsic, 2-finger pincer and 3-finger grip.
Treatment:
Other: Standard Treatment of Care
Device: HandyRehab (HR)
HandyRehab integrated with BCI (BCI-HR) with supervised training by OT
Experimental group
Description:
BCI-HR training consists of (1) passive and active mobilisation (2) spasticity management (3) gross motor training with BCI-HR applied (4) grasp training: cylindrical, spherical, intrinsic, 2-finger pincer and 3-finger grip.
Treatment:
Other: Standard Treatment of Care
Device: Brain Computer Interface integrated HandyRehab platform (BCI-HR)

Trial contacts and locations

1

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Central trial contact

Low Ai Mei Jaclyn

Data sourced from clinicaltrials.gov

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