Assistive Soft Robotic Glove Intervention Using Brain-Computer Interface for Elderly Stroke Patients

NCT ID: NCT03277508

Last Updated: 2019-04-30

Basic Information

• Recruitment Status: COMPLETED
• Clinical Phase: NA
• Total Enrollment: 11 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2018-03-02
• Study Completion Date: 2019-04-22

Brief Summary

This research aims to integrate and develop a novel Brain-Computer Interface (BCI) controlled soft robotic glove, evaluate the ability of the glove in achieving common hand grasping postures and to assess the efficacy of the glove in assisting stroke patients with completing functional tasks. The BCI-controlled soft robotic glove utilizes patients' user intent to deliver specific electroencephalographic patterns that can trigger robot-assisted hand movement to the affected hand.

Detailed Description

Hand motor impairment is very common after a stroke. These impairments include difficulty moving and coordinating the hands and fingers, which inhibits stroke patients from being able to perform daily functional tasks independently, resulting in a reduced quality of life. More than half of people with upper limb impairment after stroke will still have problems many months to years after their stroke. Therefore, improving hand function is a core element of rehabilitation. Many possible interventions have been developed; these may involve different exercises or training, specialist equipment or techniques, or they could take the form of a drug (pill or injection) given to help hand movement. There is limited evidence that suggests the following interventions may be effective: constraint-induced movement therapy, mental practice, mirror therapy,interventions for sensory impairment, virtual reality and a relatively high dose of repetitive task practice. Current hand rehabilitation robotic devices are typically driven by rigid linkages or joints, which subject the patient's fingers into a single plane of motion that will feel unnatural and uncomfortable. On top of that,these devices belong to the class of continuous passive motion (CPM) devices that only promote hand range-of-motion, but do not require the patient to play a semi-active role in performing the hand exercises. Furthermore, there is a huge demand for solutions assisting stroke patients with using the densely paralyzed hand to perform activities of daily living (ADL) in real life, which is not available at present. Most of the hand rehabilitation robotic devices available in the market cannot assist paralyzed hand to carry out ADL. To develop an assistive device to solve this unmet need, we decided to combine BCI technology with the wearable soft robotic glove, which enables actuation of paralyzed hand by motor imagery.

Conditions

Stroke

Study Design

• Allocation Method: RANDOMIZED
• Intervention Model: PARALLEL
• Primary Study Purpose: DEVICE_FEASIBILITY
• Blinding Strategy: SINGLE

Study Groups

BCI robot assisted hand therapy

Brain-computer integration robot assisted hand therapy

Group Type: EXPERIMENTAL

BCI Robot Assisted Hand Therapy

Intervention Type: DEVICE

18 sessions (3 times per week for a total of 6 weeks) of 1.5 hours each training (60 minutes of BCI Robot and 30 minutes of the standard hand therapy).

Session 1-3. Peg game: Lateral movement of gears/cups Session 4-6. Moving cups onto a shelf: Elevation process for the arm, small cups to be used.

Session 7-9. Carrying of basket: Heavier load to be used, patient to hold the basket by the handles at the side, not by its base.

Session 10-12. Opening bottle + pouring into a cup: Training of ADL Session 13-15. Eating: Use of a modified spoon to train ADL Session 16-18. Box and blocks: Precise index finger and thumb control

CPM robot assisted hand therapy

Continue Passive Movement robot assisted hand therapy

Group Type: ACTIVE_COMPARATOR

CPM Robot Assisted Hand Therapy

Intervention Type: DEVICE

18 sessions (3 times per week for a total of 6 weeks) of 1.5 hours each training (60 minutes of Passive Robot and 30 minutes of the standard hand therapy).The procedure will include the following: Session 1-18: Continuous passive motion

Interventions

BCI Robot Assisted Hand Therapy

18 sessions (3 times per week for a total of 6 weeks) of 1.5 hours each training (60 minutes of BCI Robot and 30 minutes of the standard hand therapy).

Session 1-3. Peg game: Lateral movement of gears/cups Session 4-6. Moving cups onto a shelf: Elevation process for the arm, small cups to be used.

Session 7-9. Carrying of basket: Heavier load to be used, patient to hold the basket by the handles at the side, not by its base.

Session 10-12. Opening bottle + pouring into a cup: Training of ADL Session 13-15. Eating: Use of a modified spoon to train ADL Session 16-18. Box and blocks: Precise index finger and thumb control

Intervention Type: DEVICE

CPM Robot Assisted Hand Therapy

18 sessions (3 times per week for a total of 6 weeks) of 1.5 hours each training (60 minutes of Passive Robot and 30 minutes of the standard hand therapy).The procedure will include the following: Session 1-18: Continuous passive motion

Intervention Type: DEVICE

Eligibility Criteria

Inclusion Criteria

• Aged 55-90 years regardless of lesion size, race
• History of stroke less than 3 months prior to participation
• Stroke type: ischemic or haemorrhagic
• Fugl-Meyer motor score (FM score) of upper extremity impairment of 0-45 out of a maximum score of 66 on the Fugl-Meyer assessment scale
• Ability to pay attention and maintain supported sitting for 1.5 hours continuously
• Lack of or poor hand mobility (Medical Research Council Grade ≤ 2/5)
• Able to give own consent
• Able to comprehend and follow commands (Abbreviated Mental Test equal or more than 7)
• Fulfil BCI resting brain states on initial screening.
• Unilateral upper limb impairment

Exclusion Criteria

• Recurrent clinical stroke
• Functional status: severe aphasia or inattention, unstable medical conditions which may affect participation (e.g. unresolved sepsis, postural hypotension) or anticipated life expectancy of <1 year due to malignancy or neurodegenerative disorder)
• Hemispatial neglect (visual or sensory) or severe visual impairment despite visual aids
• History of severe depression or active psychiatric disorder
• Skull defect or previous cranial surgery as this would affect physical fit of EEG cap interface
• Local arm factors: severe spasticity Modified Ashworth scale >1+ in any region, fixed joint contractures or joint replacements, patients with poor skin conditions which would contraindicate repetitive arm training, upper limb pain impeding movements with visual analogue scale (VAS score) >4/10, other conditions ensuing upper limb weakness, skull defect, polydactyly or amputation of fingers, and allergy to electrodes or adhesive gel

• Minimum Eligible Age: 55 Years
• Maximum Eligible Age: 90 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

National University of Singapore

OTHER

Sponsor Role: collaborator

Agency for Science, Technology and Research

OTHER

Sponsor Role: collaborator

National University Hospital, Singapore

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Principal Investigators

Jeong Hoon Lim

Role: PRINCIPAL_INVESTIGATOR

National University Hospital, Singapore

Locations

National University Hospital

Singapore, , Singapore

Countries

Singapore

References

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Reference Type: BACKGROUND

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Reference Type: BACKGROUND

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Other Identifiers

2017/00312

Identifier Type: -

Identifier Source: org_study_id