Related references
Note: Only part of the references are listed.Surface EMG hand gesture recognition system based on PCA and GRNN
Jinxian Qi et al.
NEURAL COMPUTING & APPLICATIONS (2020)
A deep convolutional neural network model for automated identification of abnormal EEG signals
Ozal Yildirim et al.
NEURAL COMPUTING & APPLICATIONS (2020)
A review of deep learning with special emphasis on architectures, applications and recent trends
Saptarshi Sengupta et al.
KNOWLEDGE-BASED SYSTEMS (2020)
Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide images
Yusuf Celik et al.
PATTERN RECOGNITION LETTERS (2020)
Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review
Fatma Murat et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2020)
Automated detection of COVID-19 cases using deep neural networks with X-ray images
Tulin Ozturk et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2020)
A Study of Computing Zero Crossing Methods and an Improved Proposal for EMG Signals
D. C. Toledo-Perez et al.
IEEE ACCESS (2020)
Towards the sEMG hand: internet of things sensors and haptic feedback application
Gongfa Li et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2019)
Automated classification of hand movements using tunable-Q wavelet transform based filter-bank with surface electromyogram signals
Anurag Nishad et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)
Grasping Force Estimation by sEMG Signals and Arm Posture: Tensor Decomposition Approach
Sanghyun Kim et al.
JOURNAL OF BIONIC ENGINEERING (2019)
Convolutional neural networks for multi-class brain disease detection using MRI images
Muhammed Talo et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2019)
A guide to deep learning in healthcare
Andre Esteva et al.
NATURE MEDICINE (2019)
Intelligent Human-Computer Interaction Based on Surface EMG Gesture Recognition
Jinxian Qi et al.
IEEE ACCESS (2019)
Dynamic Gesture Recognition in the Internet of Things
Gongfa Li et al.
IEEE ACCESS (2019)
Review of Deep Learning Algorithms and Architectures
Ajay Shrestha et al.
IEEE ACCESS (2019)
Non-Invasive Stimulation-Based Tactile Sensation for Upper-Extremity Prosthesis: A Review
Kairu Li et al.
IEEE SENSORS JOURNAL (2017)
Combined influence of forearm orientation and muscular contraction on EMG pattern recognition
Rami N. Khushaba et al.
EXPERT SYSTEMS WITH APPLICATIONS (2016)
Improving the Performance Against Force Variation of EMG Controlled Multifunctional Upper-Limb Prostheses for Transradial Amputees
Ali H. Al-Timemy et al.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2016)
Deep learning in neural networks: An overview
Juergen Schmidhuber
NEURAL NETWORKS (2015)
Evaluation of Bioelectric Signals for Human Recognition
Anita Pal et al.
INTERNATIONAL CONFERENCE ON COMPUTER, COMMUNICATION AND CONVERGENCE (ICCC 2015) (2015)
Dynamical Characteristics of Surface EMG Signals of Hand Grasps via Recurrence Plot
Gaoxiang Ouyang et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2014)
EMG feature evaluation for improving myoelectric pattern recognition robustness
Angkoon Phinyomark et al.
EXPERT SYSTEMS WITH APPLICATIONS (2013)
Acquisition and analysis of EMG signals to recognize multiple hand movements for prosthetic applications
Giuseppina Gini et al.
APPLIED BIONICS AND BIOMECHANICS (2012)
Electromyogram pattern recognition for control of powered upper-limb prostheses: State of the art and challenges for clinical use
Erik Scheme et al.
JOURNAL OF REHABILITATION RESEARCH AND DEVELOPMENT (2011)
Deep Machine Learning-A New Frontier in Artificial Intelligence Research
Itamar Arel et al.
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE (2010)
Learning Deep Architectures for AI
Yoshua Bengio
FOUNDATIONS AND TRENDS IN MACHINE LEARNING (2009)
An introduction to ROC analysis
Tom Fawcett
PATTERN RECOGNITION LETTERS (2006)