Electrocardiograms (ECG) are the primary basis for diagnosis of cardiovascular diseases. However, due to large volume patients’ ECG data, manual is time-consuming and laborious. Therefore, intelligent automatic signal classification an important technique overcoming shortage medical resources. This paper proposes a novel model inter-patient heartbeat classification, named G2-ResNeXt, which adds...

This paper has two objectives: the first is to generate binary flags indicate useful frames permitting measurement of cardiac and respiratory rates from Ballistocardiogram (BCG) signals—in fact, human body activities during measurements can disturb BCG signal content, leading difficulties in vital sign measurement; second objective achieve refined segmentation according these activities. The pr...

Human-movement recognition is a novel challenge in soft robotics. In recent years, there have been several attempts to develop wearable devices for supporting human-robot interfaces. Many algorithms and programming languages are available integrate device with robot. One such promising algorithm reservoir computing (RC), which includes of group recurrently randomly connected nodes. The RC model...