Instrument Study Of Lower Extremity Motor Function Rebuilding Based On Surface Electromyographic Bridge

Nowadays, there are over 80 million people suffering from all types of disabilities and among them more than 24 million are physically disabled. A great number of these physical disabilities are caused by stroke or spinal cord injury. Hemiplegia is one of the most common sequelae to the stroke survivors and two thirds of the survivors suffer lower limb motor function disability resulting from lower limb muscle weakness. Unfortunately, only a half can restore the function from the gait disability and the rest may struggle with foot drop all their life, what impacts patients'daily life seriously. So gait disability is one of the severest consequence after stroke and researches on the therapies of gait disability have significant scientific significance and clinical value. In this case, based on the "Embedded microelectronics, neural channel bridging SOC" proposed by our research group, we further developed a surface electromyographic bridge (EMGB) to avoid the infection during the surgical implantation. As an movement control signal, the surface electromyography (sEMG) implying the force of the contracting muscle, can be used as a source or reference signal of surface Functional Electrical Stimulation (FES).This paper mainly completed the study of asynchronous bridging to contralaterally control the ankle dorsiflexion and plantarflexion alternatively based on the eight-channel microelectronic myographic bridge system (EMMB) and the embedded implementation of this system. Then, this paper is trying to embed the asynchronous bridging in wireless surface electromyographic bridge system (WEMGB) to correct drop foot.First of all, this paper introduces the hardware of EMGB and WMMB and the common control strategy of asynchronous bridging. Then, the SampEntropy is introduced to detect the onset time of EMG and the method is introduced to detect the stimulating timing in different circumstances.Secondly, this paper introduced the software of EMMB and the relationships between the tasks in detail. Then the embedded implementation of asynchronous bridging is studied in both EMMB and WMMB.Finally, the combination experiment was conducted in EMGB and verified in sitting ankle contralaterally alternative control experiments, to realize that one healthy person drive another one to finish dorsiflexion and plantarflexion adversely and alternatively in real time.