[引用][C] Video and optoelectronics in movement disorders

C Caro, N Malpica - 2023 - Elsevier

Next move in movement disorders (NEMO): developing a computer-aided classification tool for hyperkinetic movement disorders

AMM van der Stouwe, I Tuitert, I Giotis, J Calon… - BMJ open, 2021 - bmjopen.bmj.com
Introduction Our aim is to develop a novel approach to hyperkinetic movement disorder
classification, that combines clinical information, electromyography, accelerometry and …

[PDF][PDF] APPLICATION OF MACHINE LEARNING FOR ASSESSING MOVEMENT DISORDERS

A Alex, A Birla, R Bonagiri, P Dugan, N Elhelw… - drew.edu
Movement disorders affect many people globally. A patient with Parkinson's Disease, for
example, may exhibit impaired gait and have other difficulties with movements. The purpose …

[HTML][HTML] The pragmatic classification of upper extremity motion in neurological patients: a primer

A Parnandi, J Uddin, DM Nilsen… - Frontiers in …, 2019 - frontiersin.org
Recent advances in wearable sensor technology and machine learning (ML) have allowed
for the seamless and objective study of human motion in clinical applications, including …

[HTML][HTML] Artificial intelligence analysis of videos to augment clinical assessment: an overview

DC Wong, S Williams - Neural Regeneration Research, 2024 - journals.lww.com
Observation is a fundamental part of the practice of clinical medicine. Observation of
movement is particularly important for the neurologist. Conditions such as Parkinson's …

Motor Function Assessment of Children with Cerebral Palsy using Monocular Video

P Zhao, M Alencastre-Miranda, Z Shen… - 2023 IEEE 19th …, 2023 - ieeexplore.ieee.org
The assessment of movement abilities in individuals with neurological disorders is a critical
task in clinical practice. Currently, clinical assessments are time-consuming and rely on …

Deep neural networks enable quantitative movement analysis using single-camera videos

Ł Kidziński, B Yang, JL Hicks, A Rajagopal… - Nature …, 2020 - nature.com
Many neurological and musculoskeletal diseases impair movement, which limits people's
function and social participation. Quantitative assessment of motion is critical to medical …

Use of functional data to model the trajectory of an inertial measurement unit and classify levels of motor impairment for stroke patients

YT Hwang, WA Lu, BS Lin - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
Motor impairment evaluations are key rehabilitation-related assessments for patients with
stroke. Currently, such evaluations are subjective; they are based on physicians' judgements …

Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment

BM Eskofier, SI Lee, JF Daneault… - 2016 38th annual …, 2016 - ieeexplore.ieee.org
The development of wearable sensors has opened the door for long-term assessment of
movement disorders. However, there is still a need for developing methods suitable to …

[PDF][PDF] Artificial Intelligence analysis of videos to augment clinical assessment: an overview

S Williams - personalpages.manchester.ac.uk
Observation is a fundamental part of the practice of clinical medicine. Observation of
movement is particularly important for the neurologist. Conditions such as Parkinson's …