AI Medical Compendium Topic:
Motion

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Research on motion planning for an indoor spray arm based on an improved potential field method.

PloS one
The target spraying effect of spray robots mainly depends on the control performance of the spraying arm during the processes of aiming and tracking. To further improve the robustness of the endpoint control and positioning accuracy of the spray arm,...

Real-time prediction of tumor motion using a dynamic neural network.

Medical & biological engineering & computing
Radiation dose delivery into the thoracic and abdomen cavities during radiotherapy treatment is a challenging task as respiratory motion leads to the motion of the target tumor. Real-time repositioning of the treatment beam during radiotherapy requir...

Compact Bone Surgery Robot With a High-Resolution and High-Rigidity Remote Center of Motion Mechanism.

IEEE transactions on bio-medical engineering
OBJECTIVE: Two important and difficult tasks during a bone drilling procedure are guiding the orientation of the drilling axis toward the target and maintaining the orientation against the drilling force. To accomplish these tasks, a remote center of...

Development of a robot-assisted ultrasound-guided radiation therapy (USgRT).

International journal of computer assisted radiology and surgery
PURPOSE: Radiation treatment is improved by the use of image-guided workflows. This work pursues the approach of using ultrasound (US) as a real-time imaging modality. The primary focus of this study is to develop and test a breathing and motion cont...

Design and Integration of a Parallel, Soft Robotic End-Effector for Extracorporeal Ultrasound.

IEEE transactions on bio-medical engineering
OBJECTIVE: In this work we address limitations in state-of-the-art ultrasound robots by designing and integrating a novel soft robotic system for ultrasound imaging. It employs the inherent qualities of soft fluidic actuators to establish safe, adapt...

Lower Body Kinematics Monitoring in Running Using Fabric-Based Wearable Sensors and Deep Convolutional Neural Networks.

Sensors (Basel, Switzerland)
Continuous kinematic monitoring of runners is crucial to inform runners of inappropriate running habits. Motion capture systems are the gold standard for gait analysis, but they are spatially limited to laboratories. Recently, wearable sensors have g...

Deep Ego-Motion Classifiers for Compound Eye Cameras.

Sensors (Basel, Switzerland)
Compound eyes, also known as insect eyes, have a unique structure. They have a hemispheric surface, and a lot of single eyes are deployed regularly on the surface. Thanks to this unique form, using the compound images has several advantages, such as ...

Target clamping and cooperative motion control of ant robots.

Bioinspiration & biomimetics
Carpenter ants possess the characteristics of division of labor, communication between individuals, cooperation, and the ability to solve problems. Inspired by the carpenter ant, we designed electromagnetically controlled ant millirobots that can mov...

An Augmented Reality Based Human-Robot Interaction Interface Using Kalman Filter Sensor Fusion.

Sensors (Basel, Switzerland)
In this paper, the application of Augmented Reality (AR) for the control and adjustment of robots has been developed, with the aim of making interaction and adjustment of robots easier and more accurate from a remote location. A LeapMotion sensor bas...

A Cascaded Convolutional Neural Network for Assessing Signal Quality of Dynamic ECG.

Computational and mathematical methods in medicine
Motion artifacts and myoelectrical noise are common issues complicating the collection and processing of dynamic electrocardiogram (ECG) signals. Recent signal quality studies have utilized a binary classification metric in which ECG samples are dete...