ClinicalTrials.Veeva

Menu

An Exploratory Study of a Wearable Robotic Hand Orthosis

T

Tan Tock Seng Hospital

Status

Enrolling

Conditions

Stroke

Treatments

Device: RELab tenoexo

Study type

Interventional

Funder types

Other

Identifiers

NCT06412237
DSRB2023/00448

Details and patient eligibility

About

Upper limb deficits usually remain in 75% of the stroke survivors despite completing full rehabilitation. This is due to lack of effectiveness of rehabilitation and the degree of support and resources available.

In this study, the investigators plan to study the use of assistive technologies in chronic stroke survivors.

Full description

Assistive technologies have shown promising results in immediate improvement in functional abilities.

RELab tenoexo is a fully wearable and portable robotic hand orthoses (RHO) used for functional training. Its design support end users with functional hand opening and closing and can be applied in therapy exercises or during functional activities. While prior research demonstrated its effectiveness for spinal cord injury, it hasn't been tailored for multi-ethnic stroke populations.

This study aims to determine the feasibility and extent to which the RELab tenoexo can complement therapy training in clinic and further be used as both a training and assistive device in the home environment. In addition, it also aims to investigate the amount of upper limb usage before, during and after the training period.

Enrollment

20 estimated patients

Sex

All

Ages

21 to 80 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Patient with first ever clinical stroke (ischaemic or haemorrhagic) with hemiplegic motor deficit(s) due to stroke as diagnosed by CT or MRI.
  • Post stroke of at least 6 months with stable neurological status.
  • Age 21 to 80 years of age.
  • Hemiplegic pattern and shoulder abduction MRC motor power > 2/5 and elbow extension >2/5
  • Has a stable home abode and a carer/NOK to assist with donning of device and supervise home based exercise
  • MOCA > or equal to 22/30
  • Able to give and sign informed consent at research site.
  • Able to speak English

Exclusion criteria

  • Non-stroke related causes of arm motor impairment.
  • Has unstable or terminal medical conditions which may affect participation (e.g.: unresolved sepsis, postural hypotension, end stage renal failure, cancer, retroviral disease, on immunosuppressive therapy) or anticipated life expectancy of <1 year due to malignancy or neurodegenerative disorder.
  • Local factors which may be worsened by intensive arm therapy: spasticity of Modified Ashworth Scale grades 3-4, skin wounds, shoulder pain Pain Scale >5/10, active/non-united fractures or arthritis or fixed joint/tissue flexion contractures of shoulder, elbow, wrist or fingers incompatible with tenoexo interface.
  • Patient with severe cognitive, perceptual (include hemi-neglect), and/or emotional-behavioural issues that preclude participation.
  • Experiencing moderate to severe levels of pain (Numerical Vertical Pain Scale > 5).
  • Is pregnant or breast feeding. Neither the tenoexo nor the IMUs have been tested to evaluate the usage with pregnant and/or breast feeding mothers. Further, due to the length of the study, pregnancy may make it difficult to follow the study schedule.
  • Have a pacemaker. Magnets are used throughout the system.

Trial design

Primary purpose

Treatment

Allocation

N/A

Interventional model

Single Group Assignment

Masking

None (Open label)

20 participants in 1 patient group

RELab tenoexo
Experimental group
Description:
3 weeks in clinic training (9 training sessions, two clinical assessment and 2 usability evaluations) followed by 2 weeks home training (1-hour daily training and to the extent participants desire). Lastly 1-month follow up clinical assessment and IMU data collection.
Treatment:
Device: RELab tenoexo

Trial contacts and locations

1

Loading...

Central trial contact

Megan Lau

Data sourced from clinicaltrials.gov

Clinical trials

Find clinical trialsTrials by location
© Copyright 2025 Veeva Systems