A reinforcement learning based robotic navigation system

Atrial fibrillation (AF) is linked to an increased risk of adverse cardiovascular events. While rhythm control with antiarrhythmic drugs (AADs) is a common strategy for managing patients with AF, catheter ablation may be a more efficacious and safer alternative to AADs for sinus rhythm control. Conventional catheter ablation has been associated with challenges during the arrhythmia mapping and ablation stages; however, the introduction of two remote catheter navigation systems (a robotic and a magnetic navigation system) may potentially overcome these challenges. Initial clinical experience with the robotic navigation system suggests that it offers similar procedural times, efficacy and safety to conventional manual ablation. Furthermore, it has been associated with reduced fluoroscopy exposure to the patient and the operator as well as a shorter fluoroscopy time compared with conventional catheter ablation. In the future, the remote navigation systems may become routinely used for complex catheter ablation procedures.

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Explainable navigation system using fuzzy reinforcement learning

International Journal on Interactive Design and Manufacturing (IJIDeM) ◽

10.1007/s12008-020-00717-1 ◽

2020 ◽

Vol 14 (4) ◽

pp. 1411-1428

Author(s):

Rolando Bautista-Montesano ◽

Rogelio Bustamante-Bello ◽

Ricardo A. Ramirez-Mendoza

Keyword(s):

Reinforcement Learning ◽

Navigation System

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Oesophageal temperature monitoring and incidence of oesophageal lesions after pulmonary vein isolation using a remote robotic navigation system

EP Europace ◽

10.1093/europace/euq061 ◽

2010 ◽

Vol 12 (5) ◽

pp. 655-661 ◽

Cited By ~ 43

Author(s):

A. Rillig ◽

U. Meyerfeldt ◽

R. Birkemeyer ◽

S. Wiest ◽

B. M. Sauer ◽

...

Keyword(s):

Pulmonary Vein ◽

Pulmonary Vein Isolation ◽

Navigation System ◽

Temperature Monitoring ◽

Robotic Navigation ◽

Oesophageal Temperature

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Incidence and Long-Term Follow-Up of Silent Cerebral Lesions After Pulmonary Vein Isolation Using a Remote Robotic Navigation System as Compared With Manual Ablation

Circulation Arrhythmia and Electrophysiology ◽

10.1161/circep.111.967497 ◽

2012 ◽

Vol 5 (1) ◽

pp. 15-21 ◽

Cited By ~ 36

Author(s):

Andreas Rillig ◽

Udo Meyerfeldt ◽

Roland Richard Tilz ◽

Jochen Talazko ◽

Anita Arya ◽

...

Keyword(s):

Pulmonary Vein ◽

Pulmonary Vein Isolation ◽

Navigation System ◽

Robotic Navigation ◽

Cerebral Lesions ◽

Long Term Follow Up

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Initial Single-Institution Experience With a Novel Robotic-Navigation System for Thoracolumbar Pedicle Screw and Pelvic Screw Placement With 643 Screws

The International Journal of Spine Surgery ◽

10.14444/6060 ◽

2019 ◽

Vol 13 (5) ◽

pp. 459-463 ◽

Cited By ~ 2

Author(s):

DEEPTEE JAIN ◽

JORDAN MANNING ◽

ELIZABETH LORD ◽

THEMISTOCLES PROTOPSALTIS ◽

YONG KIM ◽

...

Keyword(s):

Pedicle Screw ◽

Navigation System ◽

Screw Placement ◽

Robotic Navigation ◽

Single Institution

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On the Design and Experiments of a Fluoro-Robotic Navigation System for Closed Intramedullary Nailing of Femur

Recent Advances in Computer Science and Information Engineering - Lecture Notes in Electrical Engineering ◽

10.1007/978-3-642-25789-6_29 ◽

2012 ◽

pp. 195-203

Author(s):

Sakol Nakdhamabhorn ◽

Jackrit Suthakorn

Keyword(s):

Intramedullary Nailing ◽

Navigation System ◽

Robotic Navigation ◽

Closed Intramedullary Nailing

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On the design of a biopsy needle-holding robot for a novel breast biopsy robotic navigation system

The 4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent ◽

10.1109/cyber.2014.6917511 ◽

2014 ◽

Cited By ~ 5

Author(s):

Narucha Tanaiutchawoot ◽

Cholatip Wiratkapan ◽

Bantita Treepong ◽

Jackrit Suthakorn

Keyword(s):

Navigation System ◽

Breast Biopsy ◽

Robotic Navigation ◽

Biopsy Needle

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A Doorway Detection and Direction (3Ds) System for Social Robots via a Monocular Camera

Sensors ◽

10.3390/s20092477 ◽

2020 ◽

Vol 20 (9) ◽

pp. 2477 ◽

Cited By ~ 2

Author(s):

Kamal M. Othman ◽

Ahmad B. Rad

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Navigation System ◽

Social Robot ◽

Indoor Navigation ◽

Indoor Environments ◽

Robotic Navigation ◽

Monocular Camera ◽

Simulation Results ◽

Novel Algorithm

In this paper, we propose a novel algorithm to detect a door and its orientation in indoor settings from the view of a social robot equipped with only a monocular camera. The challenge is to achieve this goal with only a 2D image from a monocular camera. The proposed system is designed through the integration of several modules, each of which serves a special purpose. The detection of the door is addressed by training a convolutional neural network (CNN) model on a new dataset for Social Robot Indoor Navigation (SRIN). The direction of the door (from the robot’s observation) is achieved by three other modules: Depth module, Pixel-Selection module, and Pixel2Angle module, respectively. We include simulation results and real-time experiments to demonstrate the performance of the algorithm. The outcome of this study could be beneficial in any robotic navigation system for indoor environments.

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