Cargando…

An Adaptive Multi-Modal Control Strategy to Attenuate the Limb Position Effect in Myoelectric Pattern Recognition

Over the last few decades, pattern recognition algorithms have shown promising results in the field of upper limb prostheses myoelectric control and are now gradually being incorporated in commercial devices. A widely used approach is based on a classifier which assigns a specific input value to a s...

Descripción completa

Detalles Bibliográficos
Autores principales:	Spieker, Veronika, Ganguly, Amartya, Haddadin, Sami, Piazza, Cristina
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587119/ https://www.ncbi.nlm.nih.gov/pubmed/34770709 http://dx.doi.org/10.3390/s21217404

Ejemplares similares

Users’ and therapists’ perceptions of myoelectric multi-function upper limb prostheses with conventional and pattern recognition control
por: Franzke, Andreas W., et al.
Publicado: (2019)

Resolving the effect of wrist position on myoelectric pattern recognition control
por: Adewuyi, Adenike A., et al.
Publicado: (2017)

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

Current Trends and Confounding Factors in Myoelectric Control: Limb Position and Contraction Intensity
por: Campbell, Evan, et al.
Publicado: (2020)

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

Synergistic Myoelectrical Activities of Forearm Muscles Improving Robust Recognition of Multi-Fingered Gestures
por: Luo, Xiuying, et al.
Publicado: (2019)

Lw-CNN-Based Myoelectric Signal Recognition and Real-Time Control of Robotic Arm for Upper-Limb Rehabilitation
por: Guo, Benzhen, et al.
Publicado: (2020)

Design of an Effective Prosthetic Hand System for Adaptive Grasping with the Control of Myoelectric Pattern Recognition Approach
por: Wang, Yanchao, et al.
Publicado: (2022)

U-Limb: A multi-modal, multi-center database on arm motion control in healthy and post-stroke conditions
por: Averta, Giuseppe, et al.
Publicado: (2021)

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

Evaluation of EMG pattern recognition for upper limb prosthesis control: a case study in comparison with direct myoelectric control
por: Resnik, Linda, et al.
Publicado: (2018)

Adaptive Lower Limb Pattern Recognition for Multi-Day Control
por: Schulte, Robert V., et al.
Publicado: (2022)

Improving the recognition of grips and movements of the hand using myoelectric signals
por: Shuman, Gene, et al.
Publicado: (2016)

Myoelectric Pattern Recognition Performance Enhancement Using Nonlinear Features
por: Islam, Md. Johirul, et al.
Publicado: (2022)

An Upper-Limb Power-Assist Exoskeleton Using Proportional Myoelectric Control
por: Tang, Zhichuan, et al.
Publicado: (2014)

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)

Improving the Robustness of Real-Time Myoelectric Pattern Recognition against Arm Position Changes in Transradial Amputees
por: Geng, Yanjuan, et al.
Publicado: (2017)

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

Multi-modal self-adaptation during object recognition in an artificial cognitive system
por: Miralles, David, et al.
Publicado: (2022)

Comparison of vibrotactile and joint-torque feedback in a myoelectric upper-limb prosthesis
por: Thomas, Neha, et al.
Publicado: (2019)

Evaluation of Optimal Vibrotactile Feedback for Force-Controlled Upper Limb Myoelectric Prostheses
por: Gonzalez-Rodriguez, Andrea, et al.
Publicado: (2019)

Human myoelectric spatial patterns differ among lower limb muscles and locomotion speeds
por: Schlink, Bryan R., et al.
Publicado: (2020)

Hands-Free Human-Computer Interface Based on Facial Myoelectric Pattern Recognition
por: Lu, Zhiyuan, et al.
Publicado: (2019)

Real-Time and Offline Evaluation of Myoelectric Pattern Recognition for the Decoding of Hand Movements
por: Abbaspour, Sara, et al.
Publicado: (2021)

Empirical Myoelectric Feature Extraction and Pattern Recognition in Hemiplegic Distal Movement Decoding
por: Anastasiev, Alexey, et al.
Publicado: (2023)

Abstract and Proportional Myoelectric Control for Multi-Fingered Hand Prostheses
por: Pistohl, Tobias, et al.
Publicado: (2013)

A Multi-User Transradial Functional-Test Socket for Validation of New Myoelectric Prosthetic Control Strategies
por: Hansen, Taylor C., et al.
Publicado: (2022)

Use of a myoelectric upper limb orthosis for rehabilitation of the upper limb in traumatic brain injury: A case report
por: Pundik, Svetlana, et al.
Publicado: (2020)

Multi-Modality Emotion Recognition Model with GAT-Based Multi-Head Inter-Modality Attention
por: Fu, Changzeng, et al.
Publicado: (2020)

Multi-Modality Adaptive Feature Fusion Graph Convolutional Network for Skeleton-Based Action Recognition
por: Zhang, Haiping, et al.
Publicado: (2023)

Adapting myoelectric control in real-time using a virtual environment
por: Woodward, Richard B., et al.
Publicado: (2019)

A novel gel liner system with embedded electrodes for use with upper limb myoelectric prostheses
por: Reissman, Timothy, et al.
Publicado: (2018)

Upper limb activity of twenty myoelectric prosthesis users and twenty healthy anatomically intact adults
por: Chadwell, Alix, et al.
Publicado: (2019)

Myoelectric Control Systems for Upper Limb Wearable Robotic Exoskeletons and Exosuits—A Systematic Review
por: Fu, Jirui, et al.
Publicado: (2022)

Cardinality as a highly descriptive feature in myoelectric pattern recognition for decoding motor volition
por: Ortiz-Catalan, Max
Publicado: (2015)

Ascertaining the optimal myoelectric signal recording duration for pattern recognition based prostheses control
por: Asogbon, Mojisola Grace, et al.
Publicado: (2023)

Upper limb activity in myoelectric prosthesis users is biased towards the intact limb and appears unrelated to goal-directed task performance
por: Chadwell, A., et al.
Publicado: (2018)

Serious Games for Training Myoelectric Prostheses through Multi-Contact Devices
por: Carro, Rosa M., et al.
Publicado: (2022)

Myoelectric digit action decoding with multi-output, multi-class classification: an offline analysis
por: Krasoulis, Agamemnon, et al.
Publicado: (2020)

Treatment of phantom limb pain (PLP) based on augmented reality and gaming controlled by myoelectric pattern recognition: a case study of a chronic PLP patient
por: Ortiz-Catalan, Max, et al.
Publicado: (2014)

Cannot write session to /tmp/vufind_sessions/sess_0meb513t89b0jfooj5ip2d0u9s