Posts Tagged IMU
[Conference Paper] Modelling of a wearable jacket with sensors and actuators for upper limb rehabilitation
Virtual reality therapy systems have the potential to increase the intensity and frequency of physical activity of stroke patients at home. This might help to increase the dose of rehabilitation, without the costs associated with clinic visits and therapist supervision.
We present a therapy game that continuously estimates the patient’s arm reachable three-dimensional (3D) workspace with a voxel-based model and selects targets to be reached accordingly, in order to increase challenge without causing frustration. This exercise is implemented on a novel, inertial measurement unit (IMU) based virtual reality system for the training of upper limb function. We present data from a pilot trial with 5 chronic stroke patients who trained for 6 weeks at home and without therapist supervision.
On average, the patients’ in-game assessed 3D workspace grew by 10.7% in volume and their score on the Fugl-Meyer Upper Extremity score improved by 5 points. The average self-selected therapy time, over the course of the therapy, was 16.8 h. These results suggest that the proposed assessment-driven target selection is viable for unsupervised home therapy and could form the basis for additional therapy games in the future.
When the use of a hand is lost due to a stroke, it’s important to get that paralyzed hand moving again – this allows the brain and the body to “relearn” how to use it. A new approach to this problem has emerged in recent years with the development of powered devices like the Amadeo or the Rehabilitation Glove that enable patients to exercise passively until they recover sufficiently to start moving on their own…