AIMC Topic: Prostheses and Implants
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Bimodal Tactile Sensor without Signal Fusion for User-Interactive Applications.
ACS nano
Jan 21, 2022
Tactile sensors with multimode sensing ability are cornerstones of artificial skin for applications in humanoid robotics and smart prosthetics. However, the intuitive and interference-free reading of multiple tactile signals without involving complex...
Machine Learning-Driven Biomaterials Evolution.
Advanced materials (Deerfield Beach, Fla.)
Oct 7, 2021
Biomaterials is an exciting and dynamic field, which uses a collection of diverse materials to achieve desired biological responses. While there is constant evolution and innovation in materials with time, biomaterials research has been hampered by t...
Deep learning for cranioplasty in clinical practice: Going from synthetic to real patient data.
Computers in biology and medicine
Aug 14, 2021
Correct virtual reconstruction of a defective skull is a prerequisite for successful cranioplasty and its automatization has the potential for accelerating and standardizing the clinical workflow. This work provides a deep learning-based method for t...
Deep learning enabled brain shunt valve identification using mobile phones.
Computer methods and programs in biomedicine
Aug 13, 2021
BACKGROUND AND OBJECTIVE: Accurate information concerning implanted medical devices prior to a Magnetic resonance imaging (MRI) examination is crucial to assure safety of the patient and to address MRI induced unintended changes in device settings. T...
Semi-Automated Determination of Heavy Metals in Autopsy Tissue Using Robot-Assisted Sample Preparation and ICP-MS.
Molecules (Basel, Switzerland)
Jun 23, 2021
The endoprosthetic care of hip and knee joints introduces multiple materials into the human body. Metal containing implant surfaces release degradation products such as particulate wear and corrosion debris, metal-protein complexes, free metallic ion...
A review of linkage mechanisms in animal joints and related bioinspired designs.
Bioinspiration & biomimetics
Jun 10, 2021
This paper presents a review of biological mechanical linkage mechanisms. One purpose is to identify the range of kinematic functions that they are able to perform. A second purpose is to review progress in bioinspired designs. Ten different linkage ...
A Multimodal Intention Detection Sensor Suite for Shared Autonomy of Upper-Limb Robotic Prostheses.
Sensors (Basel, Switzerland)
Oct 27, 2020
Neurorobotic augmentation (e.g., robotic assist) is now in regular use to support individuals suffering from impaired motor functions. A major unresolved challenge, however, is the excessive cognitive load necessary for the human-machine interface (H...
Skull shape reconstruction using cascaded convolutional networks.
Computers in biology and medicine
Jun 27, 2020
Designing a cranial implant to restore the protective and aesthetic function of the patient's skull is a challenging process that requires a substantial amount of manual work, even for an experienced clinician. While computer-assisted approaches with...
Genetic algorithm search for the worst-case MRI RF exposure for a multiconfiguration implantable fixation system modeled using artificial neural networks.
Magnetic resonance in medicine
May 27, 2020
PURPOSE: This paper presents a method to search for the worst-case configuration leading to the highest RF exposure for a multiconfiguration implantable fixation system under MRI.
A convolutional neural network to detect scoliosis treatment in radiographs.
International journal of computer assisted radiology and surgery
Apr 26, 2020
PURPOSE: The aim of this work is to propose a classification algorithm to automatically detect treatment for scoliosis (brace, implant or no treatment) in postero-anterior radiographs. Such automatic labelling of radiographs could represent a step to...
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