Multi-Channel Surface EMG Spatio-Temporal Image Enhancement Using Multi-Scale Hessian-Based Filters

Multi-Channel Surface EMG Spatio-Temporal Image Enhancement Using Multi-Scale Hessian-Based Filters

Surface electromyography (sEMG) signals acquired with linear electrode array are useful in analyzing muscle anatomy and physiology. Most algorithms for signal processing, detection, and estimation require adequate quality of the input signals, however, multi-channel sEMG signals are commonly contami...

Full description

Bibliographic Details
Main Authors:	Khalil Ullah, Khalil Khan, Muhammad Amin, Muhammad Attique, Tae-Sun Chung, Rabia Riaz
Format:	Article
Language:	English
Published:	MDPI AG 2020-07-01
Series:	Applied Sciences
Subjects:	sEMG spatio-temporal image image enhancement multi-scale Hessian-based filter
Online Access:	https://www.mdpi.com/2076-3417/10/15/5099

Similar Items

The Reliability of Pelvic Floor Muscle Bioelectrical Activity (sEMG) Assessment Using a Multi-Activity Measurement Protocol in Young Women
by: Łukasz Oleksy, et al.
Published: (2021-01-01)

Effect of Occupational Therapy on Multi-Scale Entropy of sEMG in Cerebral palsy Children
by: Mashal Fatima, et al.
Published: (2020-09-01)

Effect of Occupational Therapy on Multi-Scale Entropy of sEMG in Cerebral palsy Children
by: Mashal Fatima, et al.
Published: (2020-09-01)

Pattern Recognition of Single-Channel sEMG Signal Using PCA and ANN Method to Classify Nine Hand Movements
by: Moh Arozi, et al.
Published: (2020-04-01)

sEMG dataset of routine activities
by: Asad Mansoor Khan, et al.
Published: (2020-12-01)

Preliminary Study on Continuous Recognition of Elbow Flexion/Extension Using sEMG Signals for Bilateral Rehabilitation
by: Zhibin Song, et al.
Published: (2016-10-01)

Joint Torque Closed-Loop Estimation Using NARX Neural Network Based on sEMG Signals
by: Yurong Li, et al.
Published: (2020-01-01)

Curvature Invariants for Statistical Submanifolds of Hessian Manifolds of Constant Hessian Curvature
by: Adela Mihai, et al.
Published: (2018-03-01)

Biometrics Verification Modality Using Multi-Channel sEMG Wearable Bracelet
by: Sherif Said, et al.
Published: (2020-10-01)

Reducing Motion Blur in Ghost Imaging Via the Hessian Matrix
by: Chen Chang, et al.
Published: (2021-12-01)

A Wireless sEMG Recording System and Its Application to Muscle Fatigue Detection
by: Xuan-Han Wu, et al.
Published: (2012-01-01)

sparseHessianFD: An R Package for Estimating Sparse Hessian Matrices
by: Michael Braun
Published: (2017-12-01)

sEMG Measurement Position and Feature Optimization Strategy for Gesture Recognition Based on ANOVA and Neural Networks
by: Changcheng Wu, et al.
Published: (2020-01-01)

A 3DCNN-LSTM Hybrid Framework for sEMG-Based Noises Recognition in Exercise
by: Min-Wen Lin, et al.
Published: (2020-01-01)

The effect of robot therapy assisted by surface EMG on hand recovery in post-stroke patients. A pilot study
by: Katarzyna Dziemian, et al.
Published: (2018-04-01)

Comparison of high density and bipolar surface EMG for ankle joint kinetics using machine learning
by: Aresu, Federica
Published: (2021)

Parallel Newtonian Optimization without Hessian Approximation
by: Khalil Abbo
Published: (2006-12-01)

A Temporally Smoothed MLP Regression Scheme for Continuous Knee/Ankle Angles Estimation by Using Multi-Channel sEMG
by: Ziyou Li, et al.
Published: (2020-01-01)

Editorial: Surface Electromyography: Barriers Limiting Widespread Use of sEMG in Clinical Assessment and Neurorehabilitation
by: Roberto Merletti, et al.
Published: (2021-02-01)

Parkinson’s Disease EMG Data Augmentation and Simulation with DCGANs and Style Transfer
by: Rafael Anicet Zanini, et al.
Published: (2020-05-01)

Intelligent Human-Computer Interaction Based on Surface EMG Gesture Recognition
by: Jinxian Qi, et al.
Published: (2019-01-01)

The <i>δ</i>(2,2)-Invariant on Statistical Submanifolds in Hessian Manifolds of Constant Hessian Curvature
by: Adela Mihai, et al.
Published: (2020-01-01)

On the hypersurfaces contained in their Hessian
by: Pietro De Poi, et al.
Published: (2019-03-01)

On the hypersurfaces contained in their Hessian
by: Pietro De Poi, et al.
Published: (2019-03-01)

A Novel Generalized Intensity-Hue-Saturation (GIHS) Based Pan-Sharpening Method With Variational Hessian Transferring
by: Pengfei Liu, et al.
Published: (2018-01-01)

Impact of Load Variation on the Accuracy of Gait Recognition from Surface EMG Signals
by: Xianfu Zhang, et al.
Published: (2018-08-01)

Gaussian Process Autoregression for Joint Angle Prediction Based on sEMG Signals
by: Jie Liang, et al.
Published: (2021-05-01)

Perturbation Based Decomposition of sEMG Signals
by: Huettinger, Rachel
Published: (2019)

Grasping force prediction based on sEMG signals
by: Ruyi Ma, et al.
Published: (2020-06-01)

Electromyographic analysis of riding posture during the bicycling start moment
by: Johnny Padulo, et al.

Locomotion Mode Recognition for Walking on Three Terrains Based on sEMG of Lower Limb and Back Muscles
by: Hui Zhou, et al.
Published: (2021-04-01)

Surface EMG in Clinical Assessment and Neurorehabilitation: Barriers Limiting Its Use
by: Isabella Campanini, et al.
Published: (2020-09-01)

putEMG—A Surface Electromyography Hand Gesture Recognition Dataset
by: Piotr Kaczmarek, et al.
Published: (2019-08-01)

Transfer Learning-Based Muscle Activity Decoding Scheme by Low-frequency sEMG for Wearable Low-cost Application
by: Yurong Li, et al.
Published: (2021-01-01)

Estimation of EMG-Based Force Using a Neural-Network-Based Approach
by: Jing Luo, et al.
Published: (2019-01-01)

Evaluation of Feature Extraction and Classification for Lower Limb Motion Based on sEMG Signal
by: Pengjie Qin, et al.
Published: (2020-07-01)

Research on Lower Limb Motion Recognition Based on Fusion of sEMG and Accelerometer Signals
by: Qingsong Ai, et al.
Published: (2017-08-01)

A Spiking Neural Network in sEMG Feature Extraction
by: Sergey Lobov, et al.
Published: (2015-11-01)

Online Adaptive Prediction of Human Motion Intention Based on sEMG
by: Zhen Ding, et al.
Published: (2021-04-01)

Estimating Simultaneous and Proportional Finger Force Intention Based on sEMG Using a Constrained Autoencoder
by: Younggeol Cho, et al.
Published: (2020-01-01)