Electrocardiographic (ECG) and Electromyographic (EMG) signals fusion for physiological device in rehab application

In this paper, a preliminary work on improving fitness for the post-stroke rehab application is investigated. For this purpose, a fusion of the Electrocardiographic (ECG) and Electromyographic (EMG) biosignals is proposed to produce a significant control signal and to achieve a biosignals multimodal fusion system. In this work, a mathematical approach such as the Bayesian network will be applied in order to combine both ECG and EMG biosignals. Furthermore, the significant fused elements can be applied to manipulate the control of physiological devices (PDs) for emulating the classic rehabilitation exerdse (e.g., cycling). Consequently, the proposed method for a multimodal fusion of muscle contractions for heart and lower limbs shall give improvement on monitoring the rehabilitation progress with better accuracy for signals fusion.