Simulation-based design optimization of a wrist exoskeleton.

Exoskeletons are widely used in the field of rehabilitation robotics. Upper limb exoskeletons (ULEs) can be very useful for patients with diminished ability to control their limbs in aiding activities of daily living (ADLs). The design of ULEs must account for a human's limitations and ability to work with an exoskeleton.

Cardi-Net: A deep neural network for classification of cardiac disease using phonocardiogram signal.

Background And Objectives: The lack of medical facilities in isolated areas makes many patients remain aloof from quick and timely diagnosis of cardiovascular diseases, leading to high mortality rates. A deep learning based method for automatic diagnosis of multiple cardiac diseases from Phonocardiogram (PCG) signals is proposed in this paper.

Methods: The proposed system is a combination of deep learning based convolutional neural network (CNN) and power spectrogram Cardi-Net, which can extract deep discriminating features of PCG signals from the power spectrogram to identify the diseases.