Care of terminally ill / Palliative care

Fusion of End-to-End Deep Learning Models for Sequence-to-Sequence Sleep Staging.

Sleep staging, a process of identifying the sleep stages associated with polysomnography (PSG) epochs, plays an important role in sleep monitoring and diagnosing sleep disorders. We present in this work a model fusion approach to automate this task. The fusion model is composed of two base sleep-stage classifiers, SeqSleepNet and DeepSleepNet, both of which are state-of-the-art end-to-end deep lea...

Detecting Meals In the Wild Using the Inertial Data of a Typical Smartwatch.

Automated and objective monitoring of eating behavior has received the attention of both the research community and the industry over the past few years. In this paper we present a method for automatically detecting meals in free living conditions, using the inertial data (acceleration and orientation velocity) from commercially available smartwatches. The proposed method operates in two steps. In...

Robot-Aided Upper-limb Proprioceptive Training in Three-Dimensional Space.

Proprioception, the ability to sense body position and limb movements in space without visual feedback, is one of the key factors in controlling body ...

Semi-Autonomous Tongue Control of an Assistive Robotic Arm for Individuals with Quadriplegia.

Individuals suffering from quadriplegia can achieve increased independence by using an assistive robotic manipulator (ARM). However, due to their disa...

Interface Operation and Implications for Shared-Control Assistive Robots.

Shared-control for assistive devices can increase the independence of individuals with motor impairments. However, each person is unique in their leve...

Development of a Robotic Unloader Brace for Investigation of Conservative Treatment of Medial Knee Osteoarthritis.

Knee osteoarthritis (KOA) is a painful and debilitating condition that is associated with mechanical loading of the knee joint. Numerous conservative ...

Indirect Robotic Movement Shaping through Motor Cost Influence.

Movement patterns are commonly disrupted after a neurological incident. The correction and recovery of these movement patterns is part of therapeutic ...

Robot Learning of Assistive Manipulation Tasks by Demonstration via Head Gesture-based Interface.

Assistive robotic manipulators have the potential to support the lives of people suffering from severe motor impairments. They can support individuals...

gazeNet: End-to-end eye-movement event detection with deep neural networks.

Existing event detection algorithms for eye-movement data almost exclusively rely on thresholding one or more hand-crafted signal features, each compu...

[Palm vein recognition based on end-to-end convolutional neural network].

We propose a novel palm-vein recognition model based on the end-to-end convolutional neural network. In this model, the convolutional layer and the po...

Compound-protein interaction prediction with end-to-end learning of neural networks for graphs and sequences.

MOTIVATION: In bioinformatics, machine learning-based methods that predict the compound-protein interactions (CPIs) play an important role in the virt...

Predicting Influenza A Tropism with End-to-End Learning of Deep Networks.

The type of host that a virus can infect, referred to as host specificity or tropism, influences infectivity and thus is important for disease diagnos...

A hierarchically trained generative network for robust facial symmetrization.

Face symmetrization has extensive applications in both medical and academic fields, such as facial disorder diagnosis. Human face possesses an importa...

Efficacy of end-effector Robot-Assisted Gait Training in subacute stroke patients: Clinical and gait outcomes from a pilot bi-centre study.

BACKGROUND: End-effector robots allow intensive gait training in stroke subjects and promote a successful rehabilitation. A comparison between convent...

Cancer Care Treatment Outcome Ontology: A Novel Computable Ontology for Profiling Treatment Outcomes in Patients With Solid Tumors.

PURPOSE: There is as yet no computer-processable resource to describe treatment end points in cancer, hindering our ability to systematically capture ...

Efficacy, chondrotoxicity and plasma concentrations of tramadol following intra-articular administration in horses undergoing arthroscopy: preliminary findings.

Intra-articular administration of analgesics is performed to ensure good perioperative pain management avoiding undesirable systemic effects. To evalu...

Deep learning for healthcare: review, opportunities and challenges.

Gaining knowledge and actionable insights from complex, high-dimensional and heterogeneous biomedical data remains a key challenge in transforming hea...

DeepDiff: DEEP-learning for predicting DIFFerential gene expression from histone modifications.

MOTIVATION: Computational methods that predict differential gene expression from histone modification signals are highly desirable for understanding h...

ENS-Unet: End-to-End Noise Suppression U-Net for Brain Tumor Segmentation.

Thanks to deep convolutional neural networks (CNNs), Brain Tumor Segmentation (BTS) has made great progresses, while most existing methods are parsed ...

Automated Detection of Clinically Significant Prostate Cancer in mp-MRI Images Based on an End-to-End Deep Neural Network.

Automated methods for detecting clinically significant (CS) prostate cancer (PCa) in multi-parameter magnetic resonance images (mp-MRI) are of high de...