AIMC Topic: Prostheses and Implants

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CT image segmentation of bone for medical additive manufacturing using a convolutional neural network.

Computers in biology and medicine
BACKGROUND: The most tedious and time-consuming task in medical additive manufacturing (AM) is image segmentation. The aim of the present study was to develop and train a convolutional neural network (CNN) for bone segmentation in computed tomography...

Energy-Optimal Human Walking With Feedback-Controlled Robotic Prostheses: A Computational Study.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Lower-limb amputees typically experience reduced mobility and higher metabolic rates than non-amputees. It may be possible to improve their mobility and metabolic rate with an optimized robotic prosthesis. Here, we use large-scale trajectory optimiza...

Embodiment and Estrangement: Results from a First-in-Human "Intelligent BCI" Trial.

Science and engineering ethics
While new generations of implantable brain computer interface (BCI) devices are being developed, evidence in the literature about their impact on the patient experience is lagging. In this article, we address this knowledge gap by analysing data from...

Biarticular elements as a contributor to energy efficiency: biomechanical review and application in bio-inspired robotics.

Bioinspiration & biomimetics
Despite the increased interest in exoskeleton research in the last decades, not much progress has been made on the successful reduction of user effort. In humans, biarticular elements have been identified as one of the reasons for the energy economy ...

A reductionist approach to extract robust molecular markers from microarray data series - Isolating markers to track osseointegration.

Journal of biomedical informatics
Complexities in the full genome expression studies hinder the extraction of tracker genes to analyze the course of biological events. In this study, we demonstrate the applications of supervised machine learning methods to reduce the irrelevance in m...

Neural Data-Driven Musculoskeletal Modeling for Personalized Neurorehabilitation Technologies.

IEEE transactions on bio-medical engineering
OBJECTIVES: The development of neurorehabilitation technologies requires the profound understanding of the mechanisms underlying an individual's motor ability and impairment. A major factor limiting this understanding is the difficulty of bridging be...

Microrobotized blasting improves the bone-to-textured implant response. A preclinical in vivo biomechanical study.

Journal of the mechanical behavior of biomedical materials
This study evaluated the effect of microrobotized blasting of titanium endosteal implants relative to their manually blasted counterparts. Two different implant systems were utilized presenting two different implant surfaces. Control surfaces (Manual...

Towards soft robotic devices for site-specific drug delivery.

Expert review of medical devices
Considerable research efforts have recently been dedicated to the establishment of various drug delivery systems (DDS) that are mechanical/physical, chemical and biological/molecular DDS. In this paper, we report on the recent advances in site-specif...

"Body-In-The-Loop": Optimizing Device Parameters Using Measures of Instantaneous Energetic Cost.

PloS one
This paper demonstrates methods for the online optimization of assistive robotic devices such as powered prostheses, orthoses and exoskeletons. Our algorithms estimate the value of a physiological objective in real-time (with a body "in-the-loop") an...

An ontology-based annotation of cardiac implantable electronic devices to detect therapy changes in a national registry.

IEEE journal of biomedical and health informatics
The patient population benefitting from cardiac implantable electronic devices (CIEDs) is increasing. This study introduces a device annotation method that supports the consistent description of the functional attributes of cardiac devices and evalua...