AIMC Topic: Prosthesis Design

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A Control Architecture for Grasp Strength Regulation in Myocontrolled Robotic Hands Using Vibrotactile Feedback: Preliminary Results.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jun 1, 2019
Nowadays, electric-powered hand prostheses do not provide adequate sensory instrumentation and artificial feedback to allow users voluntarily and finely modulate the grasp strength applied to the objects. In this work, the design of a control archite...
Artificial Limbs Prosthesis Design Feedback, Sensory Hand Electromyography Amputees Hand Strength Robotics Humans
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Exploring the Impact of Machine-Learned Predictions on Feedback from an Artificial Limb.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jun 1, 2019
Learning to get by without an arm or hand can be very challenging, and existing prostheses do not yet fill the needs of individuals with amputations. One promising solution is to improve the feedback from the device to the user. Towards this end, we ...
Humans Machine Learning Robotics Amputation, Surgical Feedback, Sensory Artificial Limbs Prosthesis Design
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Development of a Robotic Unloader Brace for Investigation of Conservative Treatment of Medial Knee Osteoarthritis.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jun 1, 2019
Knee osteoarthritis (KOA) is a painful and debilitating condition that is associated with mechanical loading of the knee joint. Numerous conservative treatment strategies have been developed to delay time to total joint replacement. Unloader braces a...
Male Robotics Gait Prosthesis Design Humans Algorithms Biomechanical Phenomena Braces Osteoarthritis, Knee Conservative Treatment Weight-Bearing
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Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jun 1, 2019
Drawing inspiration from autonomous vehicles, using future environment information could improve the control of wearable biomechatronic devices for assisting human locomotion. To the authors knowledge, this research represents the first documented in...
Humans Neural Networks, Computer Algorithms Environment Prosthesis Design Automation Locomotion Exoskeleton Device Lower Extremity Robotics Artificial Limbs
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On the Design of a Novel Underactuated Robotic Finger Prosthesis for Partial Hand Amputation.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jun 1, 2019
This paper presents a novel robotic finger prosthesis for partially amputated patients who have lost a thumb and index finger. The challenging issues were to design i) a three-degree-of-freedom (DOF) underactuated mechanism that mimics intact finger ...
Humans Biomechanical Phenomena Robotics Prosthesis Design Male Middle Aged Amputation, Surgical Motion Fingers Joints
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Bio-inspired design and validation of the Efficient Lockable Spring Ankle (ELSA) prosthesis.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jun 1, 2019
Over the last decade, active lower-limb prostheses demonstrated their ability to restore a physiological gait for transfemoral amputees by supplying the required positive energy balance during daily life locomotion activities. However, the added-valu...
Humans Biomechanical Phenomena Robotics Artificial Limbs Prosthesis Design Ankle Joint Ankle Amputees Walking Gait
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Real-Time On-Board Recognition of Continuous Locomotion Modes for Amputees With Robotic Transtibial Prostheses.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 1, 2018
Human intent recognition is important to the control of robotic prosthesis. In this paper, we propose a multi-level real-time on-board system to recognize continuous locomotion modes. A cascaded classification strategy is designed for the recognition...
Reproducibility of Results Artificial Limbs Adult Prosthesis Design Humans Tibia Locomotion Robotics Signal Processing, Computer-Assisted Amputees Gait Biomechanical Phenomena Male Middle Aged
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Artificial Neural Networking Model for the Prediction of Early Occlusion of Bilateral Plastic Stent Placement for Inoperable Hilar Cholangiocarcinoma.

Surgical laparoscopy, endoscopy & percutaneous techniques Apr 1, 2018
BACKGROUND: This study aimed to determine whether the back-propagation artificial neural network (BP-ANN) model could be constructed to accurately in predicting early occlusion of bilateral plastic stent placement for inoperable hilar cholangiocarcin...
Bile Duct Neoplasms Klatskin Tumor Prosthesis Failure Bile Ducts, Intrahepatic Prosthesis Design Stents Early Diagnosis Palliative Care Follow-Up Studies Humans Plastics Neural Networks, Computer Neoplasm Staging Aged Male Postoperative Complications ROC Curve Prospective Studies Retrospective Studies Female
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A Hybrid Network for ERP Detection and Analysis Based on Restricted Boltzmann Machine.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 1, 2018
Detecting and Please provide the correct one analyzing the event-related potential (ERP) remains an important problem in neuroscience. Due to the low signal-to-noise ratio and complex spatio-temporal patterns of ERP signals, conventional methods usua...
Evoked Potentials Event-Related Potentials, P300 Prosthesis Design Brain-Computer Interfaces Signal-To-Noise Ratio Humans Electroencephalography Signal Processing, Computer-Assisted Neural Networks, Computer Algorithms
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Handmade trileaflet valve design and validation for patch-valved conduit reconstruction using generalized regression machine learning model.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2018
Pulmonary valve diseases include the different degrees of aortic stenosis or congenital defects in children or adults. Valve repair or replacement surgery is commonly performed to relieve valvular dysfunction and improve the significant flow regurgit...
Heart Valve Diseases Pulmonary Valve Tomography, X-Ray Computed Prosthesis Design Stents Humans Neural Networks, Computer Machine Learning
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