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Real-time prediction of walking state and percent of gait cycle for robotic prosthetic leg using artificial neural network
This paper describes the walking motion prediction of a user and prediction-based joint trajectory generation of a robotic transfemoral prosthetic...
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EMG Controlled Modular Prosthetic Hand–Design and Prototy**
Prosthetic hands can be essential for those without a biological hand(s) to accomplish everyday tasks but the cost, of up to tens of thousands, keeps...
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Slippage Classification in Prosthetic Hands with a Spiking Neural Network
Poliarticulated myoelectric upper limb prostheses have greatly enhanced dexterity and integration possibilities to patients’ skeletal, muscular and...
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Development of a Control System for a Biomechanical Prosthetic
This work details the development of a control system for the MAKI biomechanical hand prosthetic, developed by the Biomedical Engineering Research...
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A New EMG Decomposition Framework for Upper Limb Prosthetic Systems
Neural interfaces based on surface Electromyography (EMG) decomposition have been widely used in upper limb prosthetic systems. In the current EMG...
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Investigating the effect of outsole configurations on rotational and translational traction using a mechanical prosthetic foot
Studded football boots and their interaction with the pitch surface play a major role in generating traction and on the risk of injuries and...
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Recent trends and challenges of surface electromyography in prosthetic applications
Surface electromyography (sEMG) meets extensive applications in the field of prosthesis in the current period. The effectiveness of sEMG in...
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Economical Modelling and Manufacturing of a Prosthetic ARM
A prosthetic is a contrived machine of human anatomy that substitutes an off-track torso portion, which helps in regaining functionality. The...
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Function-oriented optimization design method for underactuated tendon-driven humanoid prosthetic hand
The loss of hand functions in upper limb amputees severely restricts their mobility in daily life. Wearing a humanoid prosthetic hand would be an...
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Gras** Time and Pose Selection for Robotic Prosthetic Hand Control Using Deep Learning Based Object Detection
This paper presents an algorithm to control a robotic prosthetic hand by applying deep learning (DL) to select a gras** pose and a gras** time...
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Hybrid Active–Passive Prosthetic Knee: A Gait Kinematics and Muscle Activity Comparison with Mechanical and Microprocessor-Controlled Passive Prostheses
Existing microprocessor-controlled passive prosthetic knees (PaPKs) and active prosthetic knees (AcPKs) cannot truly simulate the muscle activity...
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15 Experimental Analysis of the Proprioceptive and Exteroceptive Sensors of an Underactuated Prosthetic Hand
The development of a prosthetic hand able to replicate as much as possible the gras** and sensory features of the natural hand represents an...
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Control of myoelectric prosthetic hand with a novel proximity-tactile sensor
Currently, prosthetic hands can only achieve several prespecified and discrete hand motion patterns from popular myoelectric control schemes using...
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State of the Art Methods of Machine Learning for Prosthetic Hand Development: A Review
In develo** countries, a number of upper limb incidence that leads to trauma and amputation is increasing. The development of prosthetic hands has...
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Deep Convolution Neural Network to Improve Hand Motion Classification Performance Against Varying Orientation Using Electromyography Signal
High accuracy and fast computation time are essential in implementing hand gesture pattern recognition for prosthetic hand using electromyography...
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Humanizing Humanoids: An Extensive Review on the Potential of Prosthetic Robotic Arm with Integrated Monitoring System for Disabled People
This review offers an in-depth review of current developments in patient monitoring technologies and prosthetic robotic arms, with a focus on their...
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Study and analysis the flexion moment in active and passive knee prosthesis using back propagation neural network predictive
The purpose of this study was to develop an artificial neural network (ANN) model for predicting the flexion moment in knee prosthesis during the...
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Application of control strategies and machine learning techniques in prosthetic knee: a systematic review
This systematic review focuses on control strategies and machine learning techniques used in prosthetic knees for restoring mobility of individuals...
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Optimizing the fabrication of a 3D high-resolution implant for neural stimulation
BackgroundTissue-integrated micro-electronic devices for neural stimulation hold great potential in restoring the functionality of degenerated...
