Cargando…

Prediction of Myoelectric Biomarkers in Post-Stroke Gait

Electromyography (EMG) is sensitive to neuromuscular changes resulting from ischemic stroke and is considered a potential predictive tool of post-stroke gait and rehabilitation management. This study aimed to evaluate the potential myoelectric biomarkers for the classification of stroke-impaired mus...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hussain, Iqram, Park, Se-Jin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8399186/ https://www.ncbi.nlm.nih.gov/pubmed/34450776 http://dx.doi.org/10.3390/s21165334

Ejemplares similares

Quantitative Evaluation of Task-Induced Neurological Outcome after Stroke
por: Hussain, Iqram, et al.
Publicado: (2021)

Driving-Induced Neurological Biomarkers in an Advanced Driver-Assistance System
por: Hussain, Iqram, et al.
Publicado: (2021)

Explainable Artificial Intelligence Model for Stroke Prediction Using EEG Signal
por: Islam, Mohammed Saidul, et al.
Publicado: (2022)

Quantifying Physiological Biomarkers of a Microwave Brain Stimulation Device
por: Hussain, Iqram, et al.
Publicado: (2021)

Myoelectrically controlled wrist robot for stroke rehabilitation
por: Song, Rong, et al.
Publicado: (2013)

Predictive simulation of post-stroke gait with functional electrical stimulation
por: Santos, Gilmar F., et al.
Publicado: (2021)

Mechanics and energetics of post-stroke walking aided by a powered ankle exoskeleton with speed-adaptive myoelectric control
por: McCain, Emily M., et al.
Publicado: (2019)

Gait variability of outdoor vs treadmill walking with bilateral robotic ankle exoskeletons under proportional myoelectric control
por: Hybart, Rachel, et al.
Publicado: (2023)

Quantitative Evaluation of EEG-Biomarkers for Prediction of Sleep Stages
por: Hussain, Iqram, et al.
Publicado: (2022)

Supervised Myoelectrical Hand Gesture Recognition in Post-Acute Stroke Patients with Upper Limb Paresis on Affected and Non-Affected Sides
por: Anastasiev, Alexey, et al.
Publicado: (2022)

Artificial Proprioceptive Feedback for Myoelectric Control
por: Pistohl, Tobias, et al.
Publicado: (2015)

Classification complexity in myoelectric pattern recognition
por: Nilsson, Niclas, et al.
Publicado: (2017)

Recalibration of myoelectric control with active learning
por: Szymaniak, Katarzyna, et al.
Publicado: (2022)

Factors Related to Gait Function in Post-stroke Patients
por: Cho, Ki Hun, et al.
Publicado: (2014)

Arm rehabilitation in post stroke subjects: A randomized controlled trial on the efficacy of myoelectrically driven FES applied in a task-oriented approach
por: Jonsdottir, Johanna, et al.
Publicado: (2017)

Wearable myoelectric interface enables high‐dose, home‐based training in severely impaired chronic stroke survivors
por: Hung, Na‐Teng, et al.
Publicado: (2021)

Myoelectric Signal Classification of Targeted Muscles Using Dictionary Learning
por: Yoo, Hyun-Joon, et al.
Publicado: (2019)

RELATIONSHIP BETWEEN GAIT PROFILE SCORE AND CLINICAL ASSESSMENTS OF GAIT IN POST-STROKE PATIENTS
por: BIGONI, Matteo, et al.
Publicado: (2021)

Post-stroke Hemiplegic Gait: New Perspective and Insights
por: Li, Sheng, et al.
Publicado: (2018)

User adaptation in Myoelectric Man-Machine Interfaces
por: Hahne, Janne M., et al.
Publicado: (2017)

Advanced Myoelectric Control for Robotic Hand-Assisted Training: Outcome from a Stroke Patient
por: Lu, Zhiyuan, et al.
Publicado: (2017)

Myoelectric untethered robotic glove enhances hand function and performance on daily living tasks after stroke
por: Yurkewich, Aaron, et al.
Publicado: (2020)

EMG Biofeedback for online predictive control of grasping force in a myoelectric prosthesis
por: Dosen, Strahinja, et al.
Publicado: (2015)

Serious Games Are Not Serious Enough for Myoelectric Prosthetics
por: Garske, Christian Alexander, et al.
Publicado: (2021)

The effect of drugs and stimulants on gastric myoelectrical activity
por: Jonderko, Krzysztof, et al.
Publicado: (2014)

Game-Based Rehabilitation for Myoelectric Prosthesis Control
por: Prahm, Cosima, et al.
Publicado: (2017)

The influence of common component on myoelectric pattern recognition
por: Yao, Bo, et al.
Publicado: (2020)

Autoencoder-based myoelectric controller for prosthetic hands
por: Portnova-Fahreeva, Alexandra A., et al.
Publicado: (2023)

Neuroplasticity in post-stroke gait recovery and noninvasive brain stimulation
por: Xu, Yi, et al.
Publicado: (2015)

Learning a Novel Myoelectric-Controlled Interface Task
por: Radhakrishnan, Saritha M., et al.
Publicado: (2008)

Directional Forgetting for Stable Co-Adaptation in Myoelectric Control
por: Yeung, Dennis, et al.
Publicado: (2019)

Myoelectric interface for neurorehabilitation conditioning to reduce abnormal leg co-activation after stroke: a pilot study
por: Khorasani, Abed, et al.
Publicado: (2023)

Sensitivity and Specificity of Hypnosis Effects on Gastric Myoelectrical Activity
por: Enck, Paul, et al.
Publicado: (2013)

Relationships of Stroke Patients’ Gait Parameters with Fear of Falling
por: Park, Jin, et al.
Publicado: (2014)

Continuous Myoelectric Prediction of Future Ankle Angle and Moment Across Ambulation Conditions and Their Transitions
por: Zabre-Gonzalez, Erika V., et al.
Publicado: (2021)

An Explainable EEG-Based Human Activity Recognition Model Using Machine-Learning Approach and LIME
por: Hussain, Iqram, et al.
Publicado: (2023)

Gait characteristics of post-stroke hemiparetic patients with different walking speeds
por: Wang, Yiji, et al.
Publicado: (2020)

Plantar Pressure Distribution During Robotic-Assisted Gait in Post-stroke Hemiplegic Patients
por: Yang, Jin Kyu, et al.
Publicado: (2014)

Exoskeleton use in post-stroke gait rehabilitation: a qualitative study of the perspectives of persons post-stroke and physiotherapists
por: Vaughan-Graham, Julie, et al.
Publicado: (2020)

Effects of nicotine on gastric myoelectrical activity in ICR mice
por: Wang, Eileen Hui-Chuan, et al.
Publicado: (2012)

Cannot write session to /tmp/vufind_sessions/sess_k1a3em8smrp0aejjs513m38gsp