University of Zurich
Zurich, 8008, Switzerland
NCT Number: NCT02098122
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.
Looking for future studies?
Notify Me18 year and older
All sexes
Observational
Zurich, 8008, Switzerland
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: Cross-sectional and longitudinal (2weeks, 1month, 3months, 6months, 12months)
Changes of activity levels will be assessed by calculating activity counts from the accelerometer data.
University of Zurich
Other
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