Cargando…

Surface Electromyography and Electroencephalogram-Based Gait Phase Recognition and Correlations Between Cortical and Locomotor Muscle in the Seven Gait Phases

The classification of gait phases based on surface electromyography (sEMG) and electroencephalogram (EEG) can be used to the control systems of lower limb exoskeletons for the rehabilitation of patients with lower limb disorders. In this study, the slope sign change (SSC) and mean power frequency (M...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wei, Pengna, Zhang, Jinhua, Wang, Baozeng, Hong, Jun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8175803/ https://www.ncbi.nlm.nih.gov/pubmed/34093106 http://dx.doi.org/10.3389/fnins.2021.607905

Ejemplares similares

Gait Event Prediction Using Surface Electromyography in Parkinsonian Patients
por: Haufe, Stefan, et al.
Publicado: (2023)

Measuring Gait Quality in Parkinson’s Disease through Real-Time Gait Phase Recognition
por: Mileti, Ilaria, et al.
Publicado: (2018)

Surface Electromyography Applied to Gait Analysis: How to Improve Its Impact in Clinics?
por: Agostini, Valentina, et al.
Publicado: (2020)

Effects of kinesio taping therapy on gait and surface electromyography in stroke patients with hemiplegia
por: Chen, Ze, et al.
Publicado: (2022)

Effects of Cooling on Ankle Muscle Strength, Electromyography, and Gait Ground Reaction Forces
por: Halder, Amitava, et al.
Publicado: (2014)

Cortical phase-amplitude coupling is key to the occurrence and treatment of freezing of gait
por: Yin, Zixiao, et al.
Publicado: (2022)

The effect of gait speed and gait phase to the allocation of attention during dual task gait
por: Shimizu, Kotaro, et al.
Publicado: (2018)

Gait Trajectory and Gait Phase Prediction Based on an LSTM Network
por: Su, Binbin, et al.
Publicado: (2020)

Robotic Exoskeleton Gait Training in Stroke: An Electromyography-Based Evaluation
por: Longatelli, Valeria, et al.
Publicado: (2021)

Gait-ViT: Gait Recognition with Vision Transformer
por: Mogan, Jashila Nair, et al.
Publicado: (2022)

Design of a Bio-Inspired Gait Phase Decoder Based on Temporal Convolution Network Architecture With Contralateral Surface Electromyography Toward Hip Prosthesis Control
por: Chen, Yixi, et al.
Publicado: (2022)

The Golden Ratio of Gait Harmony: Repetitive Proportions of Repetitive Gait Phases
por: Iosa, Marco, et al.
Publicado: (2013)

Real-Time Detection of Seven Phases of Gait in Children with Cerebral Palsy Using Two Gyroscopes
por: Behboodi, Ahad, et al.
Publicado: (2019)

Midbrain circuits that set locomotor speed and gait selection
por: Caggiano, V, et al.
Publicado: (2018)

Gait Phase Recognition for Lower-Limb Exoskeleton with Only Joint Angular Sensors
por: Liu, Du-Xin, et al.
Publicado: (2016)

Gait recognition using a few gait frames
por: Yao, Lingxiang, et al.
Publicado: (2021)

GaitSG: Gait Recognition with SMPLs in Graph Structure
por: Yan, Jiayi, et al.
Publicado: (2023)

Electromyography Assessment During Gait in a Robotic Exoskeleton for Acute Stroke
por: Androwis, Ghaith J., et al.
Publicado: (2018)

Cortical Correlates of Gait Compensation Strategies in Parkinson Disease
por: Tosserams, Anouk, et al.
Publicado: (2022)

Role of a wireless surface electromyography in dystonic gait in functional movement disorders: A case report
por: Oh, Min-Kyun, et al.
Publicado: (2020)

Comparison of hamstring and quadriceps tendon autografts in anterior cruciate ligament reconstruction with gait analysis and surface electromyography
por: Schagemann, J., et al.
Publicado: (2021)

Electromyography Data Processing Impacts Muscle Synergies during Gait for Unimpaired Children and Children with Cerebral Palsy
por: Shuman, Benjamin R., et al.
Publicado: (2017)

Effects of cooling on muscle function and duration of stance phase during gait
por: Halder, Amitava, et al.
Publicado: (2015)

Functional Reorganization of the Locomotor Network in Parkinson Patients with Freezing of Gait
por: Fling, Brett W., et al.
Publicado: (2014)

Locomotor Trajectories of Stroke Patients during Oriented Gait and Turning
por: Bonnyaud, Céline, et al.
Publicado: (2016)

Computational modeling of brainstem circuits controlling locomotor frequency and gait
por: Ausborn, Jessica, et al.
Publicado: (2019)

Use of electroencephalogram, gait, and their combined signals for classifying cognitive impairment and normal cognition
por: Min, Jin-Young, et al.
Publicado: (2022)

Gait Phase Recognition Using Deep Convolutional Neural Network with Inertial Measurement Units
por: Su, Binbin, et al.
Publicado: (2020)

Gait Phase Estimation by Using LSTM in IMU-Based Gait Analysis—Proof of Concept
por: Sarshar, Mustafa, et al.
Publicado: (2021)

Feasibility and Reliability Assessment of Video-Based Motion Analysis and Surface Electromyography in Children with Fragile X during Gait
por: Sawacha, Zimi, et al.
Publicado: (2021)

Gait Phase Detection Based on Muscle Deformation with Static Standing-Based Calibration
por: Miyake, Tamon, et al.
Publicado: (2021)

Identification of Gait-Cycle Phases for Prosthesis Control
por: Di Gregorio, Raffaele, et al.
Publicado: (2021)

Free-view gait recognition
por: Tian, Yonghong, et al.
Publicado: (2019)

Deep Convolutional and LSTM Networks on Multi-Channel Time Series Data for Gait Phase Recognition
por: Kreuzer, David, et al.
Publicado: (2021)

Regional Associations of Cortical Thickness With Gait Variability: The Tasmanian Study of Cognition and Gait
por: Jayakody, Oshadi, et al.
Publicado: (2020)

Muscle Biopsy and Electromyography Correlation
por: Naddaf, Elie, et al.
Publicado: (2018)

Dual-Task Interference Effects on Lower-Extremity Muscle Activities during Gait Initiation and Steady-State Gait among Healthy Young Individuals, Measured Using Wireless Electromyography Sensors
por: Waldon, Ke’Vaughn Tarrel, et al.
Publicado: (2023)

Classification of gait phases based on a machine learning approach using muscle synergy
por: Park, Heesu, et al.
Publicado: (2023)

Gait Recognition with Self-Supervised Learning of Gait Features Based on Vision Transformers
por: Pinčić, Domagoj, et al.
Publicado: (2022)

Electroencephalogram–Electromyography Coupling Analysis in Stroke Based on Symbolic Transfer Entropy
por: Gao, Yunyuan, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_sbid04s15a0r4ael5hd0naatdo