BCI-FES system for neuro-rehabilitation of stroke patients

20th Argentinean Bioengineering Society Congress

物理学;生物科学

Jure, Fabricio A.^1 ; Carrere, Lucia C.^1 ; Gentiletti, Gerardo G.^1 ; Tabernig, Carolina B.^1

Laboratorio de Ingenieria en Rehabilitación e Investigaciones Neuromusculares y Sensoriales, Universidad Nacional de Entre Rios, Oro Verde, Entre Rios, Argentina^1

关键词: Arduino;    Emotiv;    Functional electrical stimulation;    Neuromuscular systems;    Neurorehabilitation;    Rehabilitation programs;    Rehabilitation techniques;    Stroke;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/705/1/012058/pdf
DOI  :  10.1088/1742-6596/705/1/012058

学科分类：生物科学（综合）

来源: IOP

【 摘 要 】

Nowadays, strokes are a growing cause of mortality and many people remain with motor sequelae and troubles in the daily activities. To treat this sequelae, alternative rehabilitation techniques are needed. In this article a Brain Computer Interface (BCI) system to control a Functional Electrical Stimulation (FES) system is presented. It can be used as a novel tool in easy setup clinical routines, to improve the rehabilitation process by mean of detecting patient's motor intention, performing it by FES and finally receiving appropriate feedback The BCI-FES system presented here, consists of three blocks: the first one decodes the patient's intention and it is composed by the patient, the acquisition hardware and the processing software (Emotiv EPOC®). The second block, based on Arduino's technology, transforms the information into a valid command signal. The last one excites the patient's neuromuscular system by means of a FES device. In order to evaluate the cerebral activity sensed by the device, topographic maps were obtained. The BCI-FES system was able to detect the patient's motor intention and control the FES device. At the time of this publication, the system it's being employing in a rehabilitation program with patients post stroke.