- Home
- Publications
- Publication Search
- Publication Details
Title
Prediction of Myoelectric Biomarkers in Post-Stroke Gait
Authors
Keywords
-
Journal
SENSORS
Volume 21, Issue 16, Pages 5334
Publisher
MDPI AG
Online
2021-08-09
DOI
10.3390/s21165334
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Quantifying Physiological Biomarkers of a Microwave Brain Stimulation Device
- (2021) Iqram Hussain et al. SENSORS
- Processing of EMG Signals with High Impact of Power Line and Cardiac Interferences
- (2021) Krzysztof Strzecha et al. Applied Sciences-Basel
- Functional Gait Recovery after a Combination of Conventional Therapy and Overground Robot-Assisted Gait Training Is Not Associated with Significant Changes in Muscle Activation Pattern: An EMG Preliminary Study on Subjects Subacute Post Stroke
- (2021) Francesco Infarinato et al. Brain Sciences
- Feasibility and Reliability Assessment of Video-Based Motion Analysis and Surface Electromyography in Children with Fragile X during Gait
- (2021) Zimi Sawacha et al. SENSORS
- Quantitative Evaluation of Task-Induced Neurological Outcome after Stroke
- (2021) Iqram Hussain et al. Brain Sciences
- Surface Electromyography Applied to Gait Analysis: How to Improve Its Impact in Clinics?
- (2020) Valentina Agostini et al. Frontiers in Neurology
- Ischaemic stroke
- (2019) Bruce C. V. Campbell et al. Nature Reviews Disease Primers
- Myoelectric pattern recognition of hand motions for stroke rehabilitation
- (2019) Jenny C. Castiblanco et al. Biomedical Signal Processing and Control
- Development of intelligent stroke monitoring system for the elderly during sleeping
- (2019) S.J. Park et al. SLEEP MEDICINE
- Is EMG a viable alternative to BCI for detecting movement intention in severe stroke?
- (2018) Sivakumar Balasubramanian et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Myoelectric Pattern Recognition for Controlling a Robotic Hand: A Feasibility Study in Stroke
- (2018) Zhiyuan Lu et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Simultaneous Recognition and Assessment of Post-Stroke Hemiparetic Gait by Fusing Kinematic, Kinetic, and Electrophysiological Data
- (2018) Chengkun Cui et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
- Power frequency spectrum analysis of surface EMG signals of upper limb muscles during elbow flexion – A comparison between healthy subjects and stroke survivors
- (2018) Silvija Angelova et al. JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY
- Electromyography Assessment During Gait in a Robotic Exoskeleton for Acute Stroke
- (2018) Ghaith J. Androwis et al. Frontiers in Neurology
- A Multimodal Framework Based on Integration of Cortical and Muscular Activities for Decoding Human Intentions About Lower Limb Motions
- (2017) Chengkun Cui et al. IEEE Transactions on Biomedical Circuits and Systems
- Spatial Analysis of Multichannel Surface EMG in Hemiplegic Stroke
- (2017) Ghulam Rasool et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
- Differences in muscle activity and temporal step parameters between Lokomat guided walking and treadmill walking in post-stroke hemiparetic patients and healthy walkers
- (2017) Klaske van Kammen et al. Journal of NeuroEngineering and Rehabilitation
- A systematic review of mechanisms of gait speed change post-stroke. Part 2: exercise capacity, muscle activation, kinetics, and kinematics
- (2017) Elizabeth C. Wonsetler et al. Topics in Stroke Rehabilitation
- EMG patterns during assisted walking in the exoskeleton
- (2014) Francesca Sylos-Labini et al. Frontiers in Human Neuroscience
- Automated Biosignal Quality Analysis for Electromyography Using a One-Class Support Vector Machine
- (2014) Graham D. Fraser et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Identification of Contaminant Type in Surface Electromyography (EMG) Signals
- (2014) Paul McCool et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
- Mean and Median Frequency of EMG Signal to Determine Muscle Force based on Time-Dependent Power Spectrum
- (2013) S. Thongpanja et al. Elektronika Ir Elektrotechnika
- The effects of muscle-tendon surgery on dynamic electromyographic patterns and muscle tone in children with cerebral palsy
- (2012) T. Dreher et al. GAIT & POSTURE
- High-Density Myoelectric Pattern Recognition Toward Improved Stroke Rehabilitation
- (2012) Xu Zhang et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Neurological complications of acute ischaemic stroke
- (2011) Joyce S Balami et al. LANCET NEUROLOGY
- Neuroplasticity in the context of motor rehabilitation after stroke
- (2011) Michael A. Dimyan et al. Nature Reviews Neurology
- Botulinum toxin A injections do not improve surface EMG patterns during gait in children with cerebral palsy—A randomized controlled study
- (2010) L.E.E. van der Houwen et al. GAIT & POSTURE
- Subject-Specific Myoelectric Pattern Classification of Functional Hand Movements for Stroke Survivors
- (2010) Sang Wook Lee et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
- Changes in muscle fiber density following a stroke
- (2009) M. Lukács et al. CLINICAL NEUROPHYSIOLOGY
- Multichannel SEMG in clinical gait analysis: A review and state-of-the-art
- (2008) Carlo Frigo et al. CLINICAL BIOMECHANICS
- Support Vector Machine-Based Classification Scheme for Myoelectric Control Applied to Upper Limb
- (2008) M.A. Oskoei et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Evaluation of Head Orientation and Neck Muscle EMG Signals as Command Inputs to a Human–Computer Interface for Individuals With High Tetraplegia
- (2008) M.R. Williams et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
- The Effects on Kinematics and Muscle Activity of Walking in a Robotic Gait Trainer During Zero-Force Control
- (2008) Edwin H. F. van Asseldonk et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started