Clinical Studies
25Pagine

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VALENTINA SQUERI Clinical affairs and product development manager Graduated in biomedical engineering at the University of Genova, Genova, Italy, in 2004, with a thesis concerning the analysis of upper arm’s movements in patients with hemicrania and received the M.S. degree in bioengineering from the University of Genova, in 2006, studying the development and validation of a robot therapy rehabilitation protocol for patients with Multiple Sclerosis. In 2010 she received the Ph.D. degree in humanoid technologies from the University of Genova, with a thesis concerning how to use robots to...

Clinical projects coordinator Graduated in biomedical engineering in 2008 at University of Genoa and received the M.S. degree in bioengineering in 2010 from the University of Genoa. In 2016 she received the PhD degree in bioengineering from the University of Genoa with a research project focused on rehabilitation and compensatory strategies in stroke and spinal cord injury survivors. From 2011 to 2016 she worked in the Rehabilitation Department of the Santa Corona Hospital with a specific activity related to motion analysis and robotic rehabilitation in neurologic field. Since 2017, Alice...

Partner Field Type of study Technical Technical description of hunova Design and Development of a Novel Core, Balance and Lower Limb Rehabilitation Robot: hunova® Paper summary This article describes the technical aspects at the basis of the development of hunova®. The robot design has been described in detail, starting from the hardware mechanisms, the system electronic and control components as well as the software. hunova® has been ergonomically designed to maximize the number of the possible rehabilitation exercises and evaluations, in all areas as neuro, ortho, geriatrics and sport....

Clinical partner Clinical field Type of study Dipartimento: area delle cure geriatriche, ortogeriatria e riabilitazione Geriatrics Longitudinal prospective clinical trial Development and validation of a robotic multifactorial fall-risk predictive model: A one-year prospective study in community-dwelling older adults Background Falls in the elderly are a major public health concern because of their high incidence, the involvement of many risk factors, the considerable post-fall morbidity and mortality, and the healthrelated and social costs. Given that many falls are preventable, the early...

comparison with the best classifier model that comprised only clinical parameters (ROC AUC: 0.67; 95% CI: 0.55–0.79), both models performed better in predicting fall risk, with an estimated Net Reclassification Improvement (NRI) of 0.30 and 0.31 (p = 0.02), respectively, and an estimated Integrated Discrimination Improvement (IDI) of 0.32 and 0.27 (p<0.001), respectively. The best model that comprised only robotic parameters (the 20 parameters identified in the final model) achieved a better performance than the clinical parameters alone, but worse than the combination of both clinical and...

Clinical partner Clinical field Type of study Dipartimento: area delle cure geriatriche, ortogeriatria e riabilitazione Geriatrics Longitudinal prospective clinical trial Robotic balance assessment in community-dwelling older people with different grades of impairment of physical performance Background Impaired physical performance is common in older adults and has been identified as a major risk factor for falls. To date, there are no conclusive data on the impairment of balance parameters in older subjects with different levels of physical performance. The aim of this study was to...

Citation Cella A et al (2020) Robotic balance assessment in community-dwelling older people with different grades of impairment of physical performance. Aging Clin Exp Res. 2020 Mar;32(3):491-503. doi: 10.1007/s40520-019-01395-0. Epub 2019 Nov 5. PMID: 31691151. Conference presentations Vallone F, Squeri V, De Luca A, Cella A, Siri G, Zigoura E, Giorgeschi A, Tavella E, Puntoni M, Avella M, Garofalo V, Aguzzoli P,De Michieli L ,Saglia J, Sanfilippo C, Pilotto A. Valutazione robotica del balance nell’anziano: correlazione con i parametri funzionali. XLVI Congresso Nazionale SIMFER, Ancona...

Clinical partner Dipartimento: area delle cure geriatriche, ortogeriatria e riabilitazione Clinical field Type of study Neurology Study in clinical practice Under submission Effect of a robotic training focused on balance and core stability in Parkinson’s disease: a pilot study Background In Parkinson's disease, rehabilitation aims to improve patients’ quality of life by promoting their independence, safety and well-being. To achieve these goals, rehabilitation first aims to prevent and/or delay inactivity, fear of moving or falling and to maintain and enhance physical capacity; as the...

Conclusions The integration of traditional and robotic treatment has led, compared to traditional treatment only, to an improvement in the TUG test, to greater pelvis mobility and stability with an improvement in managing the load in sitting position, besides the maintenance of the improvements already highlighted in the first part of the treatment on balance, walking speed, stability limits and trunk mobility. For these reasons the rehabilitation treatment with hunova seems to offer an innovative therapeutic opportunity to be combined with traditional rehabilitation in subjects affected by...