Present and future of gait assessment in clinical practice: Towards the application of novel trends and technologies
Background Despite being available for more than three decades, quantitative gait analysis
remains largely associated with research institutions and not well leveraged in clinical …
remains largely associated with research institutions and not well leveraged in clinical …
[HTML][HTML] Review of research and development of supernumerary robotic limbs
Y Tong, J Liu - IEEE/CAA Journal of Automatica Sinica, 2021 - ieee-jas.net
Supernumerary robotic limbs (SRLs) are a new type of wearable human auxiliary
equipment, which is currently a hot research topic in the world. SRLs have broad …
equipment, which is currently a hot research topic in the world. SRLs have broad …
Parkinson's disease detection from drawing movements using convolutional neural networks
Nowadays, an important research effort in healthcare biometrics is finding accurate
biomarkers that allow develo** medical-decision support tools. These tools help to detect …
biomarkers that allow develo** medical-decision support tools. These tools help to detect …
Alzheimer's disease detection using comprehensive analysis of Timed Up and Go test via Kinect V. 2 camera and machine learning
Alzheimer's disease (AD) is a progressive neurodegenerative disease affecting cognitive
and functional abilities. However, many patients presume lower cognitive or functional …
and functional abilities. However, many patients presume lower cognitive or functional …
3D-printed piezoelectric PLA-based insole for event detection in gait analysis
Detecting human movement is crucial for the control of lower limb wearable robotics
designed to assist daily activities or rehabilitation tasks. Sensorized insoles present a viable …
designed to assist daily activities or rehabilitation tasks. Sensorized insoles present a viable …
On learning symmetric locomotion
Human and animal gaits are often symmetric in nature, which points to the use of motion
symmetry as a potentially useful source of structure that can be exploited for learning. By …
symmetry as a potentially useful source of structure that can be exploited for learning. By …
Accelerometry-based digital gait characteristics for classification of Parkinson's disease: what counts?
RZU Rehman, C Buckley… - IEEE Open Journal …, 2020 - ieeexplore.ieee.org
Objective: Gait may be a useful biomarker that can be objectively measured with wearable
technology to classify Parkinson's disease (PD). This study aims to:(i) comprehensively …
technology to classify Parkinson's disease (PD). This study aims to:(i) comprehensively …
Spatio-temporal gait parameters obtained from foot-worn inertial sensors are reliable in healthy adults in single-and dual-task conditions
J Soulard, J Vaillant, R Balaguier, N Vuillerme - Scientific Reports, 2021 - nature.com
Inertial measurement units (IMUs) are increasingly popular and may be usable in clinical
routine to assess gait. However, assessing their intra-session reliability is crucial and has …
routine to assess gait. However, assessing their intra-session reliability is crucial and has …
Factors leading to falls in transfemoral prosthesis users: a case series of sound-side stumble recovery responses
Background Transfemoral prosthesis users' high fall rate is related to increased injury risk,
medical costs, and fear of falling. Better understanding how stumble conditions (eg …
medical costs, and fear of falling. Better understanding how stumble conditions (eg …
Detection of mild cognitive impairment using various types of gait tests and machine learning
Introduction Alzheimer's disease and related disorders (ADRD) progressively impair
cognitive function, prompting the need for early detection to mitigate its impact. Mild …
cognitive function, prompting the need for early detection to mitigate its impact. Mild …