AIMC Topic: Motion

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A Review of Magnetically Actuated Milli/Micro-Scale Robots Locomotion and Features.

Critical reviews in biomedical engineering
In the past decades, wireless milli and micro devices have been incorporated into medical procedures as a way to reduce invasiveness. However, the commercially available methods still consist of passive locomotion devices, which is a limiting factor ...

Artificial Neural Network for Laparoscopic Skills Classification Using Motion Signals from Apple Watch.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
The acquisition of laparoscopic technical skills is constrained by the limited training opportunities and the necessity of having staff physicians on site to provide feedback to the trainees. In addition, the assessment tools used to measure trainees...

Comparing Physical Human-Robot Interaction with Spring-and Elastomer-Based Series Elastic Actuators.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Physical human-robot interaction (pHRI) is an important consideration in the design of rehabilitation exoskeletons. Series Elastic Actuators (SEAs) are seen as a promising method of introducing compliance and comfort to robotic exoskeletons. Recently...

Intelligent Control for Human-Robot Cooperation in Orthopedics Surgery.

Advances in experimental medicine and biology
Cooperation between surgeon and robot is one of the key technologies that limit the robot to be widely used in orthopedic clinics. In this study, the evolution of human-robot cooperation methods and the control strategies for typical human-robot coop...

Intravoxel Incoherent Motion: Model-Free Determination of Tissue Type in Abdominal Organs Using Machine Learning.

Investigative radiology
PURPOSE: For diffusion data sets including low and high b-values, the intravoxel incoherent motion model is commonly applied to characterize tissue. The aim of the present study was to show that machine learning allows a model-free approach to determ...

Pavement type and wear condition classification from tire cavity acoustic measurements with artificial neural networks.

The Journal of the Acoustical Society of America
Tire road noise is the major contributor to traffic noise, which leads to general annoyance, speech interference, and sleep disturbances. Standardized methods to measure tire road noise are expensive, sophisticated to use, and they cannot be applied ...