Pilot Study on the Evaluation of the Functionality, Safety and Reliability of New Tripping Devices for Lower Limbs.
- Conditions
- Lower Limb AmputationSlip PerturbationsFall Risk
- Registration Number
- NCT06883942
- Lead Sponsor
- Fondazione Don Carlo Gnocchi Onlus
- Brief Summary
The study aims to identify prognostic biomarkers of fall risk in patients with lower limb amputation
- Detailed Description
The protocol will involve both trans-tibial and trans-femoral amputation subjects, for a total duration of up to 5 sessions.
Initially, the fall detection algorithm will be evaluated on trans-femoral and trans-tibial amputees performing the test while wearing their prosthesis.
In a second step, the experimentally obtained prognostic markers of fall risk will be studied (i.e., using one or both of the perturbation platforms described below).
The markers thus obtained are to be validated by comparison with markers already established in clinical practice or in the literature.
Experimental platforms The platforms are composed of a mechanism to simulate and investigate the aid that the prosthetic system can provide in the event of a source of tripping and/or slipping.
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 30
- Trans-femoral or trans-tibial lower limb amputation;
- Functional medical classification: Level K3-K4;
- Subjects who have had a prosthesis for at least 1 year (experienced wearers);
- Informed consent signed by the subject
- Significant medical comorbidities (severe neurological disease, cardiovascular disease diabetes/unstabilised hypertension, severe sensory deficits);
- Cardiac device wearers (PMK or AICD);
- Cognitive impairment (MMSE adjusted for age and schooling <24);
- Inability or unwillingness to provide informed consent;
- Severe depressive symptomatology - Beck Depression Inventory (BDI-II <19);
- Severe anxiety symptoms - State-Trait Anxiety Inventory (STAI-Y <50).
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method algorithm validation baseline Verifying the measurement performance of the trip and slip detection algorithm on prosthesis wearers
- Secondary Outcome Measures
Name Time Method data aquiring baseline Acquire data on amputees to be used for the development of a new version of the detection algorithm and its testing.
Related Research Topics
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Trial Locations
- Locations (1)
IRCCS Fondazione Don Carlo Gnocchi
🇮🇹Florence, Italy