Results 71 to 80 of about 731,298 (398)
Brain Sciences, 2021 Robotic-assisted therapy (RAT) is a task-specific approach for treating gait disorders in individuals with neurological impairments. However, the effectiveness of RAT is not clear for different severities of involvement, pathologies, and ages. This study
Faustyna Manikowska +4 more
doaj +1 more source
Fisher Motion Descriptor for Multiview Gait Recognition [PDF]
, 2016 The goal of this paper is to identify individuals by analyzing their gait. Instead of using binary silhouettes as input data (as done in many previous works) we propose and evaluate the use of motion descriptors based on densely sampled short-term ...
Castro, F. M. +3 more
core +3 more sources
Decrypting cancer's spatial code: from single cells to tissue niches
Molecular Oncology, EarlyView.Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik +4 more
wiley +1 more source
Sensors, 2018 Ski Mountaineering (SkiMo) is a fast growing sport requiring both endurance and technical skills. It involves different types of locomotion with and without the skis.
Jules Gellaerts +3 more
doaj +1 more source
Real-Time Gait Phase Estimation for Robotic Hip Exoskeleton Control During Multimodal Locomotion
IEEE Robotics and Automation Letters, 2021 We developed and validated a gait phase estimator for real-time control of a robotic hip exoskeleton during multimodal locomotion. Gait phase describes the fraction of time passed since the previous gait event, such as heel strike, and is a promising ...
Inseung Kang +5 more
semanticscholar +1 more source
Automatic learning of gait signatures for people identification [PDF]
, 2016 This work targets people identification in video based on the way they walk (i.e. gait). While classical methods typically derive gait signatures from sequences of binary silhouettes, in this work we explore the use of convolutional neural networks (CNN)
Castro, F. M. +3 more
core +2 more sources
FEBS Open Bio, EarlyView.This study presents a novel approach to teaching Python and bioinformatics using team‐based learning and cloud‐hosted notebooks. By integrating interactive coding into biomedical education, the method improves accessibility, student engagement, and confidence—especially for those without a computing background.
Nuno S. Osório, Leonardo D. Garma
wiley +1 more source
SensorsIntroduction: Gait analysis is a vital tool in the assessment of human movement and has been widely used in clinical settings to identify potential abnormalities in individuals.
Lianne Mobbs +5 more
doaj +1 more source
A Comparative Evaluation of Gait between Children with Autism and Typically Developing Matched Controls [PDF]
, 2017 Anecdotal reports suggest children with autism spectrum disorder (ASD) ambulate differently than peers with typical development (TD). Little empirical evidence supports these reports. Children with ASD exhibit delayed motor skills, and it is important to
Dufek, Janet S. +3 more
core +3 more sources
FEBS Open Bio, EarlyView.Here, we introduced an intermittent electrical stimulation protocol mimicking the episodic nature of real‐life exercise in vitro by alternating low‐ and high‐frequency stimulation. In comparison with widely used continuous stimulation, it enhanced the rate of glucose and fatty acid oxidation, but not the myokine release.
Klára Gabrišová +11 more
wiley +1 more source