Deep Learning for Multiple Sclerosis Differentiation Using Multi-Stride Dynamics in Gait

A Survey on Vision Transformer

(2022) Kai Han et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A Vision-Based Framework for Predicting Multiple Sclerosis and Parkinson's Disease Gait Dysfunctions—A Deep Learning Approach

(2022) Rachneet Kaur et al.   IEEE Journal of Biomedical and Health Informatics

Gait Pattern in People with Multiple Sclerosis: A Systematic Review

(2021) María Coca-Tapia et al.   Diagnostics

Prediction of Myoelectric Biomarkers in Post-Stroke Gait

(2021) Iqram Hussain et al.   SENSORS

Interpretable deep learning for the remote characterisation of ambulation in multiple sclerosis using smartphones

(2021) Andrew P. Creagh et al.   Scientific Reports

Transformers in computational visual media: A survey

(2021) Yifan Xu et al.   Computational Visual Media

Smartphone- and Smartwatch-Based Remote Characterisation of Ambulation in Multiple Sclerosis During the Two-Minute Walk Test

(2020) Andrew P. Creagh et al.   IEEE Journal of Biomedical and Health Informatics

A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data

(2020) Patrick Schwab et al.   IEEE Journal of Biomedical and Health Informatics

Wearables and Deep Learning Classify Fall Risk From Gait in Multiple Sclerosis

(2020) Brett M. Meyer et al.   IEEE Journal of Biomedical and Health Informatics

Predicting Multiple Sclerosis From Gait Dynamics Using an Instrumented Treadmill: A Machine Learning Approach

(2020) Rachneet Kaur et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Deep Learning for Monitoring of Human Gait: A Review

(2019) Abdullah S. Alharthi et al.   IEEE SENSORS JOURNAL

Multiscale Kernel Based Residual Convolutional Neural Network for Motor Fault Diagnosis Under Nonstationary Conditions

(2019) Ruonan Liu et al.   IEEE Transactions on Industrial Informatics

Deep Learning for Fall Risk Assessment With Inertial Sensors: Utilizing Domain Knowledge in Spatio-Temporal Gait Parameters

(2019) Can Tunca et al.   IEEE Journal of Biomedical and Health Informatics

Validation of wearable visual feedback for retraining foot progression angle using inertial sensors and an augmented reality headset

(2018) Angelos Karatsidis et al.   Journal of NeuroEngineering and Rehabilitation

Gait deficits in people with multiple sclerosis: A systematic review and meta-analysis

(2017) Laura Comber et al.   GAIT & POSTURE

Markerless motion capture systems as training device in neurological rehabilitation: a systematic review of their use, application, target population and efficacy

(2017) Els Knippenberg et al.   Journal of NeuroEngineering and Rehabilitation

A Microsoft Kinect-Based Point-of-Care Gait Assessment Framework for Multiple Sclerosis Patients

(2017) Farnood Gholami et al.   IEEE Journal of Biomedical and Health Informatics

Predicting falls among patients with multiple sclerosis: Comparison of patient-reported outcomes and performance-based measures of lower extremity functions

(2017) Shirin Tajali et al.   Multiple Sclerosis and Related Disorders

Recent developments in human gait research: parameters, approaches, applications, machine learning techniques, datasets and challenges

(2016) Chandra Prakash et al.   ARTIFICIAL INTELLIGENCE REVIEW

Gait Variability Measures Reveal Differences between Multiple Sclerosis Patients and Healthy Controls

(2016) Jeffrey P. Kaipust et al.   MOTOR CONTROL

The “butterfly diagram”: A gait marker for neurological and cerebellar impairment in people with multiple sclerosis

(2015) Alon Kalron et al.   JOURNAL OF THE NEUROLOGICAL SCIENCES

Classification of Parkinson's Disease Gait Using Spatial-Temporal Gait Features

(2015) Ferdous Wahid et al.   IEEE Journal of Biomedical and Health Informatics

Examination of spatiotemporal gait parameters during the 6-min walk in individuals with multiple sclerosis

(2014) Michael J. Socie et al.   INTERNATIONAL JOURNAL OF REHABILITATION RESEARCH

Performance variance on walking while talking tasks: theory, findings, and clinical implications

(2013) Roee Holtzer et al.   AGE

The characterisation of gait patterns of people with multiple sclerosis

(2010) Kevin John Kelleher et al.   DISABILITY AND REHABILITATION

The rising prevalence and changing age distribution of multiple sclerosis in Manitoba

(2010) R. A. Marrie et al.   NEUROLOGY

Multiple sclerosis

(2008) Alastair Compston et al.   LANCET