scholarly journals Tomography as a diagnostic tool for phase space mapping of intense particle beams

2006 ◽  
Vol 9 (11) ◽  
Author(s):  
D. Stratakis ◽  
R. A. Kishek ◽  
H. Li ◽  
S. Bernal ◽  
M. Walter ◽  
...  
Keyword(s):  
Phase Space ◽  
Diagnostic Tool ◽  
Space Mapping ◽  
Particle Beams

Tomographic phase-space mapping of intense particle beams using solenoids

2007 ◽  
Vol 14 (12) ◽  
pp. 120703 ◽  
Author(s):  
D. Stratakis ◽  
K. Tian ◽  
R. A. Kishek ◽  
I. Haber ◽  
M. Reiser ◽  
...  
Keyword(s):  
Phase Space ◽  
Space Mapping ◽  
Particle Beams

First Results from the Phase Space Mapping Experiment

2021 ◽  
Author(s):  
Earl E. Scime ◽  
Cuyler Beatty ◽  
David Caron ◽  
Tyler Gilbert ◽  
Andrew Jemiolo ◽  
...  
Keyword(s):  
Phase Space ◽  
Space Mapping ◽  
Mapping Experiment ◽  
First Results

scholarly journals Illumination design for extended sources based on phase space mapping

2017 ◽  
Vol 56 (6) ◽  
pp. 065103 ◽  
Author(s):  
Denise Rausch ◽  
Michael Rommel ◽  
Alois M. Herkommer ◽  
Taimoor Talpur
Keyword(s):  
Phase Space ◽  
Space Mapping ◽  
Illumination Design ◽  
Extended Sources

scholarly journals A Simple Emotion Discrimination Technique Based on Triangle Phase Space Mapping of HRV Signals

2017 ◽  
Vol 7 (3) ◽  
pp. 41-48 ◽  
Author(s):  
Ateke Goshvarpour ◽  
◽  
Ataollah Abbasi ◽  
Atefeh Goshvarpour
Keyword(s):  
Phase Space ◽  
Space Mapping

scholarly journals Recognition of lung volume condition based on phase space mapping using electrical impedance tomography

2019 ◽  
Vol 10 (1) ◽  
pp. 34-39
Author(s):  
Mohammad Karimi Moridani ◽  
Fatemeh Choopani ◽  
Mandana Kia
Keyword(s):  
Phase Space ◽  
Lung Volume ◽  
Space Mapping ◽  
Normal Lung ◽  
Mapping Technique ◽  
Impedance Tomography ◽  
Lung Volumes ◽  
Respiratory Illnesses ◽  
Non Invasive ◽  
Significant Difference

Abstract The purpose of this paper is to identify differences between abnormal and normal lung signals gathered by an EIT device, which is a new, non-invasive system that seeks the electrical conductivity and permittivity inside a body. Lung performances in patients are investigated using Phase Space Mapping technique on Electrical EIT signals. The database used in this paper contains 82 registered records of 52 individuals with proper lung volume. The results of this paper show that as the delay parameter (τ) increases, the SD1 parameter of phase space mapping indicates a significant difference between normal and abnormal lung volumes. The value of the SD1 parameter with τ = 6 in the case that the lung volume is in a normal condition is 342.57 ± 32.75 while it is 156.71 ± 26.01 in non-optimal mode. This method can be used to identify the patients’ lung volumes with chronic respiratory illnesses and is an accurate assessment of the diverse methods to treat respiratory system illnesses in addition to saving various therapeutic costs and dangerous consequences that are likely to occur by using improper treatment methods. It can also reduce the required treatment durations.

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