Motion Analysis of the Myelopathy Hand: New Insight Into the Classical Sign
1 other identifier
observational
10
1 country
1
Brief Summary
This study aims to quantify the clumsiness and decreased dexterity seen in the grip and release test using a simple glove with sensors that can quantify the abnormal motion of this classical sign. This new tool will give a mechanistic insight into the myelopathy. The findings of this study will also form the basis of a prospective longitudinal study with clinical and radiological evaluation to compare the prognosticating value of this new information in clinical practice.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started Jul 2017
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
July 1, 2017
CompletedFirst Submitted
Initial submission to the registry
September 27, 2017
CompletedFirst Posted
Study publicly available on registry
October 6, 2017
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 31, 2019
CompletedStudy Completion
Last participant's last visit for all outcomes
June 30, 2020
CompletedOctober 5, 2021
October 1, 2021
1.7 years
September 27, 2017
October 2, 2021
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Objective quantification of the hand movement during grip and release test using sEMG and motion capture analysis
Objective quantification of the hand movement during grip and release test using sEMG and motion capture analysis
1 year
Secondary Outcomes (3)
Correlate the clinical severity of myelopathy with different patterns of hand movement using sEMG and motion capture analysis
1 year
Correlate the radiological level of myelopathy involvement with different patterns of hand movement using sEMG and motion capture analysis
1 year
Devise a new severity score based on different patterns of hand movement using sEMG and motion capture analysis
1 year
Study Arms (1)
Myelopathy hand
Patients will undergo radiological and clinical examination at the Duchess of Kent Children Hospital. Patients will be required to put on a pair of hand gloves with 18 IMUs located on specific bony landmarks (distal phalanges of fingers, proximal phalanges of index fingers and thumbs, dorsum of the hands and bilateral wrists).
Interventions
Patients will undergo radiological and clinical examination at the Duchess of Kent Children Hospital. Patients will be required to put on a pair of hand gloves with 18 IMUs located on specific bony landmarks (distal phalanges of fingers, proximal phalanges of index fingers and thumbs, dorsum of the hands and bilateral wrists)
Eligibility Criteria
Patients at the Duchess of Kent Children's Hospital will be selected.
You may qualify if:
- All degenerative causes of documented cervical myelopathy planned for operation will be recruited into the study.
You may not qualify if:
- Patients found to have spinal tumour, infection, or other non-degenerative causes as well as patient who are unable to follow command and/or unwilling to attend follow up will be excluded from the study.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- The University of Hong Konglead
- The Hong Kong Polytechnic Universitycollaborator
Study Sites (1)
Duchess of Kent Children's Hospital
Hong Kong, Hong Kong
Related Publications (3)
Ono K, Okada K and Fuji T. Finger escape sign (FES), an objective sign signifying pyramidal tract involvement of the cervical spinal cord. Orthop Trans 1982; 6.2:181.
BACKGROUNDOno K, Ebara S, Fuji T, Yonenobu K, Fujiwara K, Yamashita K. Myelopathy hand. New clinical signs of cervical cord damage. J Bone Joint Surg Br. 1987 Mar;69(2):215-9. doi: 10.1302/0301-620X.69B2.3818752.
PMID: 3818752BACKGROUNDTaylor T, Ko S, Mastrangelo C, Bamberg SJ. Forward kinematics using IMU on-body sensor network for mobile analysis of human kinematics. Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:1230-3. doi: 10.1109/EMBC.2013.6609729.
PMID: 24109916BACKGROUND
Study Officials
- PRINCIPAL INVESTIGATOR
Dr Kenny Kwan, BMBCh(Oxon)
The University of Hong Kong
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Clinical Assistant Professor
Study Record Dates
First Submitted
September 27, 2017
First Posted
October 6, 2017
Study Start
July 1, 2017
Primary Completion
March 31, 2019
Study Completion
June 30, 2020
Last Updated
October 5, 2021
Record last verified: 2021-10
Data Sharing
- IPD Sharing
- Will not share