Design of upper limb prosthesis using real-time motion detection method based on EMG signal processing

This publication has 25 references indexed in Scilit:

• Adaptive myoelectric pattern recognition toward improved multifunctional prosthesis control
  Medical Engineering & Physics, 2015
• Optimization of EMG-based hand gesture recognition: Supervised vs. unsupervised data preprocessing on healthy subjects and transradial amputees
  Biomedical Signal Processing and Control, 2014
• A Low-Cost Real-Time Research Platform for EMG Pattern Recognition-Based Prosthetic Hand
  IEEE/ASME Transactions on Mechatronics, 2014
• The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges
  IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2014
• Self-Correcting Pattern Recognition System of Surface EMG Signals for Upper Limb Prosthesis Control
  IEEE Transactions on Biomedical Engineering, 2013
• Prosthesis rejection in acquired major upper-limb amputees: a population-based survey
  Disability and Rehabilitation: Assistive Technology, 2011
• The development of a novel prosthetic hand-ongoing research and preliminary results
  IEEE/ASME Transactions on Mechatronics, 2002
• Adaptive whitening of the electromyogram to improve amplitude estimation
  IEEE Transactions on Biomedical Engineering, 2000
• Epidemiologic Overview of Individuals with Upper-Limb Loss and Their Reported Research Priorities
  JPO Journal of Prosthetics and Orthotics, 1996
• Adaptive filtering of the electromyographic signal for prosthetic control and force estimation
  IEEE Transactions on Biomedical Engineering, 1995