An APL mapping system

1981 ◽  
Vol 12 (1) ◽  
pp. 341-346
Author(s):  
Anthony V. Williams ◽  
Stephen E. Winckelman
Keyword(s):  
Mapping System

Portable Ground Based Solar Energy Mapping System

2018 ◽  
Vol 50 (04) ◽  
pp. 541-546
Author(s):  
R. H. SHAH ◽  
S. MEMON ◽  
I. A. ISMAILI ◽  
Z. HUSSAIN ◽  
M. HAMMAD ◽  
...  
Keyword(s):  
Solar Energy ◽  
Mapping System ◽  
Energy Mapping

68 EFFECTS OF PACING SITE ON LEFT VENTRICULAR ACTIVATION SEQUENCES USING A NON-CONTACT MAPPING SYSTEM: IMPLICATIONS FOR HEART FAILURE PACING.

2004 ◽  
Vol 52 (Suppl 2) ◽  
pp. S357.3-S357
Author(s):  
D. Xing ◽  
F. G. Devecchi ◽  
T. R. Staley ◽  
D. S. Glassman ◽  
J. B. Martins
Keyword(s):  
Heart Failure ◽  
Left Ventricular ◽  
Contact Mapping ◽  
Mapping System ◽  
Ventricular Activation

scholarly journals Towards a Fully Automated 3D Reconstruction System Based on LiDAR and GNSS in Challenging Scenarios

2021 ◽  
Vol 13 (10) ◽  
pp. 1981
Author(s):  
Ruike Ren ◽  
Hao Fu ◽  
Hanzhang Xue ◽  
Zhenping Sun ◽  
Kai Ding ◽  
...  
Keyword(s):  
3D Reconstruction ◽  
High Precision ◽  
Moving Objects ◽  
Autonomous Driving ◽  
Satellite System ◽  
Factor Graph ◽  
Mapping System ◽  
Global Navigation ◽  
Real World Datasets ◽  
Global Navigation Satellite

High-precision 3D maps play an important role in autonomous driving. The current mapping system performs well in most circumstances. However, it still encounters difficulties in the case of the Global Navigation Satellite System (GNSS) signal blockage, when surrounded by too many moving objects, or when mapping a featureless environment. In these challenging scenarios, either the global navigation approach or the local navigation approach will degenerate. With the aim of developing a degeneracy-aware robust mapping system, this paper analyzes the possible degeneration states for different navigation sources and proposes a new degeneration indicator for the point cloud registration algorithm. The proposed degeneracy indicator could then be seamlessly integrated into the factor graph-based mapping framework. Extensive experiments on real-world datasets demonstrate that the proposed 3D reconstruction system based on GNSS and Light Detection and Ranging (LiDAR) sensors can map challenging scenarios with high precision.

Stability and performance of the EnSite Precision cardiac mapping system for electrophysiology mapping and ablation procedures: results from the EnSite Precision observational study

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
D Lin ◽  
B Glover ◽  
J Colley ◽  
B Thibault ◽  
C.M Steinberg ◽  
...  
Keyword(s):  
Observational Study ◽  
Real World ◽  
Cardiac Electrophysiology ◽  
Median Number ◽  
System Stability ◽  
Cardiac Mapping ◽  
Average Force ◽  
Mapping System ◽  
Respiratory Change ◽  
Electrophysiology Mapping

Abstract Background The EnSite Precision™ Cardiac Mapping System is a catheter navigation and mapping system capable of displaying the three-dimensional (3D) position of conventional and sensor enabled electrophysiology catheters, as well as displaying cardiac electrical activity as waveform traces and dynamic 3-D maps of cardiac chambers. Objective The EnSite Precision™ Observational Study was designed to quantify and characterize the use of the EnSite Precision™ Cardiac Mapping System for mapping and ablation of cardiac arrhythmias in a real-world environment and to evaluate procedural and subsequent clinical outcomes. Methods 1065 patients were enrolled at 38 centers in the U.S. and Canada between 2017–2018. Eligible subjects were adults undergoing a cardiac electrophysiology mapping and radiofrequency ablation procedures using the EnSite Precision™ System. Results Of 989 patients who completed the protocol, a geometry was created in 936 (94.7%). Most initial maps were created using Automap (n=545, 67.0%) or a combination of Automap and manually mapping (n=151, 18.6%). Median time to create an initial map was 9.0 min (IQR 5.0–15.0), with a median number of used mapping points per minute of 92.7 (IQR 30.0–192.0). During ablation, AutoMark was used in 817 (82.6%) of procedures. The most frequent metrics for lesion color were Impedance Drop or Impedance Drop Percent (45.5% combined), time (23.9%) and average force (14.2%). At Canadian sites where LSI was an option, it was used as the color metric in 87 (45.8%) of cases (10.6% overall). The EnSite System was stable throughout 79.7% (n=788 of 989) of procedures. Factors affecting stability were respiratory change (n=88 of 989, 8.9%), patient movement (n=73, 7.4%), CS Positional Reference dislodgement (n=32, 3.2%), and cardioversion (n=19, 1.9%). Conscious sedation was used in 189 (19.1%) of patients. Acute success was reached based on the pre-defined endpoints for the procedure in 97.4% (n=963) of cases. Conclusion In a real-world study analysis, the EnSite Precision™ mapping system was associated with a high prevalence of acute procedural success, low mapping times, and high system stability. Funding Acknowledgement Type of funding source: None

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