R-TOUCH
ALL-IN-ONE SOLUTION FOR HAND & ARM
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Mechanism of Action
The R-Touch product family is all about a soft robotic glove that can induce physiological finger movements and potentiate neuroplastic changes.
The gamified environment creates an interaction between the patient and real objects to help them reach their maximum potential.
Available in many versions, R-Touch continuously follows the patient through every phase of upper limb recovery.
Hand mobilization
Robotic hand mobilization induces finger movements and allows for different pinches from the early recovery stage, even in bedridden patients. In advanced stages, patients manipulate real objects and perform functional global movements while sitting or standing.
Mirror therapy
The device recognizes the movement of the patient's healthy hand & reproduces it on the affected hand. A therapist can also guide & facilitate the movements of the patient's affected hand.
Active-assisted hand training
Gamified interactive training promotes patient involvement and modifies the treatment only when needed to assist the patient.
Patient-directed upper limb training
Sensor-based training encourages patients to move in all possible directions. A gamified environment promotes reaching movements and therapy can be completed with cognitive training.
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A Sensor-Based Upper Limb Treatment in Hemiplegic Patients: Results from a Randomized Pilot Study
Data were reported as mean ± SD, ormean ± SD, with a confidence interval (CI 95%)
Robotic-assisted hand therapy for improvement of hand function in children with cerebral palsy: a case series study
Data are presented as mean ± standard deviation. Wilcoxon signed rank test was used to investigate differences between groups at the 3 timepoints. FMA: Fugl–Meyer Assessment; BBT: box and block test.
*P<0.05 by friedman test.
Hand Passive Mobilization Performed with Robotic Assistance: Acute Effects on Upper Limb Perfusion and Spasticity in Stroke Survivors
Signal analysis of the total haemoglobin (THb) profile. Panel(a)shows the THb profile acquired during a whole treatment session from a presentative subject.Time windows corresponding to the duration of each passive movement modality were selected (panel (b)). For each time window, the values corresponding to the largest variation of THb dynamics were averaged (panel(c)) in order to obtain the delta value (ΔTHb) for each of the administered treatment modalities.
