Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences
Jun 18, 2019
OBJECTIVE: Deep learning models, including recurrent neural network (RNN) and gated recurrent unit (GRU), were used to construct the clinical prognostic prediction models for peritoneal dialysis (PD) patients based on routine clinical data. The perfo...
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Jun 10, 2019
Reservoir computing (RC) is a powerful computational paradigm that allows high versatility with cheap learning. While other artificial intelligence approaches need exhaustive resources to specify their inner workings, RC is based on a reservoir with ...
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jun 1, 2019
Early fall detection is an important issue during gait rehabilitation training. This paper proposes an approach for pre-impact fall detection during gait rehabilitation training based on a 3D convolutional neural network (CNN). Firstly, pre-training ...
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jun 1, 2019
Drawing inspiration from autonomous vehicles, using future environment information could improve the control of wearable biomechatronic devices for assisting human locomotion. To the authors knowledge, this research represents the first documented in...
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jun 1, 2019
Several research groups have developed and studied powered ankle exoskeletons to improve energetics of healthy subjects and the mobility of elderly subjects, or to reduce asymmetry in gaits induced by strokes. To achieve optimal effect, the timing of...
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jun 1, 2019
This paper analyses the time-window size required to achieve the highest accuracy of the convolutional neural network (CNN) in classifying periodic upper limb rehabilitation. To classify real-time motions by using CNN-based human activity recognition...
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jun 1, 2019
Robotic assistance presents an opportunity to benefit the lives of many people with physical disabilities, yet accurately sensing the human body and tracking human motion remain difficult for robots. We present a multidimensional capacitive sensing t...
Journal of bioinformatics and computational biology
Jun 1, 2019
Deep learning technologies are permeating every field from image and speech recognition to computational and systems biology. However, the application of convolutional neural networks (CCNs) to "omics" data poses some difficulties, such as the proces...
The Journal of the Acoustical Society of America
Jun 1, 2019
Audio tagging aims to infer descriptive labels from audio clips and it is challenging due to the limited size of data and noisy labels. The solution to the tagging task is described in this paper. The main contributions include the following: an ense...
Faces provide information about a person's identity, as well as their sex, age, and ethnicity. People also infer social and personality traits from the face - judgments that can have important societal and personal consequences. In recent years, deep...
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