AI Medical Compendium Topic

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Motion

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Dipo: a miniaturized hopping robot via lightweight and compact actuator design for power amplification.

Bioinspiration & biomimetics
Kangaroo rats are well known as representative hoppers in small-scale animals. Especially kangaroo rats show rapid movement when a predator approaches. If this amazing motion can be applied to small-scale robots, they will be able to traverse lands a...

Integrating Spatial and Temporal Information for Violent Activity Detection from Video Using Deep Spiking Neural Networks.

Sensors (Basel, Switzerland)
Increasing violence in workplaces such as hospitals seriously challenges public safety. However, it is time- and labor-consuming to visually monitor masses of video data in real time. Therefore, automatic and timely violent activity detection from vi...

An Automated Skill Assessment Framework Based on Visual Motion Signals and a Deep Neural Network in Robot-Assisted Minimally Invasive Surgery.

Sensors (Basel, Switzerland)
Surgical skill assessment can quantify the quality of the surgical operation via the motion state of the surgical instrument tip (SIT), which is considered one of the effective primary means by which to improve the accuracy of surgical operation. Tra...

A discontinuity-preserving regularization for deep learning-based cardiac image registration.

Physics in medicine and biology
. Sliding motion may occur between organs in anatomical regions due to respiratory motion and heart beating. This issue is often neglected in previous studies, resulting in poor image registration performance. A new approach is proposed to handle dis...

A systematic review of the applications of markerless motion capture (MMC) technology for clinical measurement in rehabilitation.

Journal of neuroengineering and rehabilitation
BACKGROUND: Markerless motion capture (MMC) technology has been developed to avoid the need for body marker placement during motion tracking and analysis of human movement. Although researchers have long proposed the use of MMC technology in clinical...

FAST skill assessment from kinematics data using convolutional neural networks.

International journal of computer assisted radiology and surgery
PURPOSE: FAST is a point of care ultrasound study that evaluates for the presence of free fluid, typically hemoperitoneum in trauma patients. FAST is an essential skill for Emergency Physicians. Thus, it requires objective evaluation tools that can r...

Privacy preserving for AI-based 3D human pose recovery and retargeting.

ISA transactions
As an essential research task in artificial intelligence (AI), the estimation of 3D human poses has important application value in virtual reality, medical diagnosis, athlete training and other fields. However, human pose recovery and retargeting req...

A study on flow field characteristics of a self-propelled robot fish approaching static obstacles based on artificial lateral line.

Bioinspiration & biomimetics
To perceive the static obstacles in still water, the flow field characteristics of a self-propelled robot fish approaching static obstacles were studied based on artificial lateral line (ALL). The pressure distribution on the fish body surface was ca...

Accelerated submillimeter wave-encoded magnetic resonance imaging via deep untrained neural network.

Medical physics
BACKGROUND: Wave gradient encoding can adequately utilize coil sensitivity profiles to facilitate higher accelerations in parallel magnetic resonance imaging (pMRI). However, there are limitations in mainstream pMRI and a few deep learning (DL) metho...

Chasing the cheetah: how field biomechanics has evolved to keep up with the fastest land animal.

The Journal of experimental biology
Studying the motion of cheetahs - especially in the wild - is a technically challenging endeavour that pushes the limits of field biomechanics methodology. Consequently, it provides an interesting example of the scientific symbiosis that exists betwe...