Smart rehabilitation from hemiplegia and hemispatial neglect caused by strokes.

Rehabictus is a joint technological development of new electronic devices based on artificial intelligence for the rehabilitation of patients with hemiplegia and hemispatial neglect caused by strokes.

The firs cause of disability worldwide is stroke, the most frequent manifestation of which is HAMIPLEGIA or paralysis of the limbs of one side of the body. In these cases, the affected hand does not usually recover its functionality, because of its sequel is a predominance of the flexor tone which prevents it from opening, thus making it lose its main prehensile function. This sequel is treated through exercises conducted by physiotherapists, but also through devices and orthosis, which maintain the fingers stretched. Other approaches include biofeedback (device included in a glove, which electronically stimulates the hand), or an orthosis with springs that helps to open and close, or either directly weakens the flexor muscles by means of intramuscular botulinum toxin to facilitate the extension of fingers. Unfortunately, most of these techniques have not been able to rehabilitate the hemiplegic hand in an effective manner, with the resulting loss of patients’ quality of life. Another sequel of the stroke is HEMISTPATIAL NEGLECT which consists, among other things, in not using the arm that is contralateral to the injury, despite not having it paralyzed. It is more frequent in right hemisphere injuries and thus affects the left arm. The application of muscular vibrations on the neck, the sensorial activation of the arm, the vestibular stimulation of the left side, and the transcranial magnetic stimulation of the cerebral cortex stand out among the rehabilitation strategies for this sequel. Both the left arm hemispatial neglect (underutilization) and the lack of hand opening in the case of hemiplegia are injuries that the scientific society considers can be rehabilitated reinforcing the movement. This project will evaluate the efficiency of an intervention for both sequels, with some rehabilitation experimentation devices which, employing artificial intelligence techniques and by means of the reinforcement of the movement, are able to improve the motor functionality of patients. The participating companies will jointly develop these advanced electronic devices of intelligent rehabilitation (hardware and firmware) along with a platform and some rehabilitation applications that can be used directly by patients or by the rehabilitation centers through Smartphones or Android devices. The goal of said new devices is to activate an audio visual alarm when the movement sensor integrated within them detects in each patient, based on previously defined patterns, the underutilization of the left arm (in daily life bimanual activities), or the lac of ability to open the hand in the case of hemiplegia, so that, with the generated information, the adequate reinforcement for each patient can be applied. Under the direction of INSYTE and with the aid of the ITCL technological center, two experimental prototypes of devices in the form of bracelets (with audio visual alarms in the left arm one) will be developed and tested. Thee alarms will simultaneously activate when detecting movement asymmetries between both hands, so that the utilization of the left arm with sequels of hemispatial neglect can be increased and, in the case of patients with hemiplegia, the ability to open the hand can be improved. Said devices will copy the information of the user into a platform and at the same time will receive the information of the customized patterns for the rehabilitation, so that the system can work in a smart manner. The final devices should be able to be used either on a Big data type architecture with multiple patients, where the routines and training can be remotely monitored and outlined, or on a local platform directly installed in the patient’s Smartphone. Under the coordination of G&L Group, the project will also develop the corresponding software models for the identification of patterns and the automatic learning feature of the system. The rehabilitation devices will be programmed with an initial model that will have been obtained from the assessment of the movement data of each patient during the experimentation process, and they will be adjusted in accordance with the new data obtained. The final user platform and the rehabilitation applications to be used in Android devices will also be developed.
Project ID: 
11 689
Start date: 
Project Duration: 
Project costs: 
1 100 000.00€
Technological Area: 
Market Area: 

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