Carried out in 36 months of research and development together with Ospedali Galliera di Genova. It is used along with hunova and huno, its orthopedic version. The technology has already evaluated and treated over 5,000 patients in hospitals and specialized centers all over the world in orthopedic, neurological, geriatric, pediatric and sports fields. The result of clinical studies over time has been the development of over 200 exercises and 30 dedicated protocols for prevention and rehabilitation treatments.
The predictive and preventive index
silver index simulates the static and dynamic “perturbative” elements at the origin of falls in a controlled way, highlighting the specific deficiency of the person and the relative personalized rehabilitative intervention.
The evaluation is progressive and thanks to the use of Artificial Intelligence with its machine learning algorithms, the best biomechanical and clinical parameters have been selected to obtain the most accurate prediction degree.
silver index is an objective test that enables to predict and prevent falls risk in people over 65.
The test is based on an algorithm, which through a robotic evaluation summarizes and improves the clinical scales in use (Short Physical Performance Battery, Performance Oriented Mobility Assessment, Timed Up & Go Test), allowing to have an objective evaluation and personalized on the risk of falls.
Results and Treatment
Once the percentage of the risk of falls is obtained, silver index suggests the best preventive strategy focusing the treatments in those areas where the robotic evaluation has found a deficit.
Movendo Technology assists the medical and physiotherapy staff in the new frontier of specialized treatment, returning an important set of objective data and quantitative findings to date not identified, thus improving both the effectiveness and efficiency of the overall rehabilitation process.
Benefits for everyone
Thanks to silver index evaluation times are drastically reduced which allows to condense in 20 minutes what with a standard clinical evaluation would require more than two hours.