The biofeedback use in motor learning of people with spinal cord injury

The use of biofeedback in the spinal cord injuryperson rehabilitation has been increasing eventhough there are no data about the effi cacy of suchtechnique. The study aimed to evaluate the effi cacyof the technique in the motor rehabilitation ofspinal cord injured patients with different lesions.Using case studies, three participants, two paraplegicsand one quadriplegic, with different lesionlevels and degrees of defi ciency were exposed toelectromyography biofeedback training sessions.Data were obtained from the training sessions withbiofeedback, from three manual test examinationsof the muscles straight and from the reports of theparticipants after the training process. These sourcesof data were compared and the results of all thethree different sources showed improvement forall the participants. The study concluded that theelectromyography biofeedback technique can bean important tool in the rehabilitation process ofpatients with this kind of lesion.

A prediction model for establishing the disability degree in adults with spinal cord injury: results based on WHO-DAS II perspective

Objective: To establish a prediction model of the degree of disability in adults with Spinal CordInjury (SCI ) based on the use of the WHO-DAS II . Methods: The disability degree was correlatedwith three variable groups: clinical, sociodemographic and those related with rehabilitation services.A model of multiple linear regression was built to predict disability. 45 people with sci exhibitingdiverse etiology, neurological level and completeness participated. Patients were older than 18 andthey had more than a six-month post-injury. The WHO-DAS II and the ASIA impairment scale(AIS ) were used. Results: Variables that evidenced a significant relationship with disability were thefollowing: occupational situation, type of affiliation to the public health care system, injury evolutiontime, neurological level, partial preservation zone, ais motor and sensory scores and number ofclinical complications during the last year. Complications significantly associated to disability werejoint pain, urinary infections, intestinal problems and autonomic disreflexia. None of the variablesrelated to rehabilitation services showed significant association with disability. The disability degreeexhibited significant differences in favor of the groups that received the following services: assistivedevices supply and vocational, job or educational counseling. Conclusions: The best predictiondisability model in adults with sci with more than six months post-injury was built with variablesof injury evolution time, AIS sensory score and injury-related unemployment.