Spinal Cord Injury Clinical Trial
Official title:
Upper Limb Activity in Human SCI Rehabilitation
Verified date | June 2019 |
Source | University of Zurich |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
Functional recovery following SCI in adults is limited. Improvements in the quality of life
of affected persons are associated with the recovery of functions that allow independent
living, for example use of the arms and hands. Rehabilitative training has been shown to aid
upper limb recovery. However, there are likely vast differences in the amount of time
individuals spend actively training (during rehabilitation sessions in the clinic) and what
they do in their non-training time (during daily life). The activity, or lack of, during the
non-training period could interfere (positively or negatively), with the specific training in
the rehabilitation session. However, there is little information available about this.
Inertial measurement units are increasingly being used in human movement and rehabilitation
research. The use of such technology is a promising approach to rapidly and discreetly
collect objective movement information. The investigators plan to introduce a novel,
long-term, activity sensor into clinical SCI rehabilitation. The investigators use this
sensor to precisely measure movement of the upper limb over extended periods of time. Upper
limb activity recordings from these sensors allow us to detail the amount and duration of
activity during specific periods of upper limb rehabilitation and recovery.
The investigators aim is to measure upper limb activity. The investigators aim to track
changes in the activity of the upper limb during recovery and rehabilitation in patients with
cervical SCI as well as collect reference values of upper limb activity in chronic sufferers.
The recordings from this activity sensor will provide a more detailed understanding of how
everyday upper limb activity contributes to functional recovery.
Status | Completed |
Enrollment | 182 |
Est. completion date | March 13, 2019 |
Est. primary completion date | March 13, 2019 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility |
Inclusion Criteria: - Tetraplegic and paraplegic subjects. - Males and females aged 18 or older. - Acute (defined here as <90 days after admission of SCI) for the longitudinal follow-up study, as well as chronic (defined here as >90 days after admission of SCI) for the cross-sectional study, all levels of injury, complete and incomplete, traumatic and non-traumatic injuries. - Good enough cognitive ability to be able to follow simple verbal instructions. - Signed informed consent before study onset. Exclusion Criteria: - A neurological disease other than SCI, which is expected to affect the upper limb function, i.e. plexus paresis. - An orthopaedic or rheumatologic disease, e.g. osteoarthritis, which is expected to affect the upper limb function. - Pre-morbid on-going major depression or psychosis. |
Country | Name | City | State |
---|---|---|---|
Switzerland | University of Zurich | Zurich |
Lead Sponsor | Collaborator |
---|---|
University of Zurich | Foundation Wings For Life, IRP International Foundation for Research in Paraplegia |
Switzerland,
Brogioli M, Popp WL, Albisser U, Brust AK, Frotzler A, Gassert R, Curt A, Starkey ML. Novel Sensor Technology To Assess Independence and Limb-Use Laterality in Cervical Spinal Cord Injury. J Neurotrauma. 2016 Nov 1;33(21):1950-1957. Epub 2016 May 16. — View Citation
Brogioli M, Popp WL, Schneider S, Albisser U, Brust AK, Frotzler A, Gassert R, Curt A, Starkey ML. Multi-Day Recordings of Wearable Sensors Are Valid and Sensitive Measures of Function and Independence in Human Spinal Cord Injury. J Neurotrauma. 2017 Mar 15;34(6):1141-1148. doi: 10.1089/neu.2016.4583. Epub 2016 Oct 12. — View Citation
Brogioli M, Schneider S, Popp WL, Albisser U, Brust AK, Velstra IM, Gassert R, Curt A, Starkey ML. Monitoring Upper Limb Recovery after Cervical Spinal Cord Injury: Insights beyond Assessment Scores. Front Neurol. 2016 Aug 31;7:142. doi: 10.3389/fneur.2016.00142. eCollection 2016. — View Citation
Popp WL, Brogioli M, Leuenberger K, Albisser U, Frotzler A, Curt A, Gassert R, Starkey ML. A novel algorithm for detecting active propulsion in wheelchair users following spinal cord injury. Med Eng Phys. 2016 Mar;38(3):267-74. doi: 10.1016/j.medengphy.2015.12.011. Epub 2016 Feb 8. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Change of physical activity levels | Changes of activity levels will be assessed by calculating activity counts from the accelerometer data. | Cross-sectional and longitudinal (2weeks, 1month, 3months, 6months, 12months) |
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