Identification of Deep Breath While Moving Forward Based on Multiple Body Regions and Graph Signal Analysis

Radioimmunoscintigraphy (RIS) with 111ln- and 131 I-labelled monoclonal anti bodies (MAbs) against CEA and/or CA 19-9 was performed in 83 patients with various gastrointestinal carcinomas. A total of 276 body regions could be examined. The results of planar scintigraphy and SPECT were compared intraindividually. Using 111 In-labelled MAbs the sensitivity of RIS was significantly improved by SPECT (88.9 vs. 52.4% with planar scintigraphy, p <0.01). For131 l-labelled MAbs the effect was smaller (83.9 vs. 65.6% with planar scintigraphy, n.s.). This finding can be explained by different kinetics and biodistribution of the used MAb preparations.111 In-labelled MAbs with long whole-body retention and rapid blood clearance reveal ideal qualities for SPECT; on the other hand, the short whole-body retention of131 l-labelled MAbs leads to small count rates and therefore long counting times that make delayed SPECT unsuitable in clinical practice

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A Fault Detection Approach Based on Sound Signal Analysis for Equipment Monitoring

International Journal of Scientific Research in Science Engineering and Technology ◽

10.32628/ijsrset207430 ◽

2020 ◽

pp. 129-139

Author(s):

Weihai Sun ◽

Lemei Han

Keyword(s):

Fault Detection ◽

Signal Analysis ◽

Energy Analysis ◽

Detection Method ◽

Sound Signal ◽

Practical Significance ◽

Time Frequency ◽

Detection Approach ◽

Machine Fault ◽

Learning Data

Machine fault detection has great practical significance. Compared with the detection method that requires external sensors, the detection of machine fault by sound signal does not need to destroy its structure. The current popular audio-based fault detection often needs a lot of learning data and complex learning process, and needs the support of known fault database. The fault detection method based on audio proposed in this paper only needs to ensure that the machine works normally in the first second. Through the correlation coefficient calculation, energy analysis, EMD and other methods to carry out time-frequency analysis of the subsequent collected sound signals, we can detect whether the machine has fault.

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Example of linear vs. non-linear approaches to EEG-signal analysis - assessment of influence of EMF generated by cellular phones on human brain

Frontiers in Neuroscience ◽

10.3389/conf.fnins.2010.05.00025 ◽

1900 ◽

Vol 4 ◽

Author(s):

Klonowski W

Keyword(s):

Human Brain ◽

Signal Analysis ◽

Cellular Phones ◽

Eeg Signal ◽

Non Linear ◽

Eeg Signal Analysis

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The examination of biophysical parameters of skin (transepidermal water loss, skin hydration and pH value) in different body regions of ponies

Polish Journal of Veterinary Sciences ◽

10.2478/v10181-012-0081-8 ◽

2012 ◽

Vol 15 (3) ◽

pp. 553-559 ◽

Cited By ~ 4

Author(s):

M.P. Szczepanik ◽

P.M. Wilkołek ◽

M. Pluta ◽

Ł.R. Adamek ◽

Z.J.H. Pomorski

Keyword(s):

Water Loss ◽

Ph Value ◽

Neck Region ◽

Transepidermal Water Loss ◽

Skin Hydration ◽

Lumbar Region ◽

Biophysical Parameters ◽

Body Regions ◽

Skin Ph

Abstract The purpose of this study was to evaluate transepidermal water loss, skin hydration and skin pH in normal ponies. Sixteen ponies of both sexes were examined in the study. Measurements were taken from seven different sites: the neck region, the shoulder, thorax, lumbar, inguinal, lip region and the auricle. In each of the regions transepidermal water loss (TEWL), skin hydration and skin pH were measured. For transepidermal water loss, the lowest values were observed in the lumbar region (9.71g/hm2), while the highest values were observed in the lip region (22.35 g/hm2). In the case of skin hydration the lowest values were observed for the thorax region (2.13 CU), and the highest for the lip region (41.81 CU). For skin pH, the lowest results were obtained in the lumbar region (6.93), and the highest in the lip region (7.96).

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Diagnostic System of Gravitational Solid Flow Based on Weight and Accelerometer Signal Analysis Using Wireless Data Transmission Technology

Image Processing & Communications ◽

10.2478/v10248-012-0061-8 ◽

2012 ◽

Vol 17 (4) ◽

pp. 319-326 ◽

Cited By ~ 1

Author(s):

Zbigniew Chaniecki ◽

Krzysztof Grudzień ◽

Tomasz Jaworski ◽

Grzegorz Rybak ◽

Andrzej Romanowski ◽

...

Keyword(s):

Signal Analysis ◽

Scale Up ◽

Three Dimensional ◽

Diagnostic System ◽

Wireless Data ◽

Stick Slip ◽

Wireless Data Transmission ◽

Accelerometer Signal ◽

Flow Investigation ◽

Material Information

Abstract The paper presents results of the scale-up silo flow investigation in based on accelerometer signal analysis and Wi-Fi transmission, performed in distributed laboratory environment. Prepared, by the authors, a set of 8 accelerometers allows to measure a three-dimensional acceleration vector. The accelerometers were located outside silo, on its perimeter. The accelerometers signal changes allowed to analyze dynamic behavior of solid (vibrations/pulsations) at silo wall during discharging process. These dynamic effects are caused by stick-slip friction between the wall and the granular material. Information about the material pulsations and vibrations is crucial for monitoring the interaction between silo construction and particle during flow. Additionally such spatial position of accelerometers sensor allowed to collect information about nonsymmetrical flow inside silo.

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Acoustic emission signal analysis for crane slewing bearing with no defect under different conditions

Industrial Electronics and Engineering ◽

10.2495/iciee140661 ◽

2014 ◽

Author(s):

Yang Jiao ◽

Shang Meng ◽

Guanghai Li

Keyword(s):

Acoustic Emission ◽

Acoustic Emission Signal ◽

Signal Analysis ◽

Slewing Bearing ◽

Emission Signal

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Withdrawal: Radiation and Signal Analysis of the Falcon Solid-state Energetic Electron Detector (FalconSEED)

2018 AIAA Aerospace Sciences Meeting ◽

10.2514/6.2018-0934.c1 ◽

2018 ◽

Author(s):

Carlos A. Maldonado

Keyword(s):

Solid State ◽

Signal Analysis ◽

Energetic Electron ◽

Electron Detector

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Extending Acoustic Microscopy for Comprehensive Failure Analysis Applications

ISTFA 2010: Conference Proceedings from the 36th International Symposium for Testing and Failure Analysis ◽

10.31399/asm.cp.istfa2010p0084 ◽

2010 ◽

Author(s):

Sebastian Brand ◽

Matthias Petzold ◽

Peter Czurratis ◽

Peter Hoffrogge

Keyword(s):

Image Processing ◽

Failure Analysis ◽

Signal Analysis ◽

Flip Chip ◽

Fault Isolation ◽

Acoustic Microscopy ◽

Specific Information ◽

Full Potential ◽

Time Frequency ◽

Non Destructive

Abstract In industrial manufacturing of microelectronic components, non-destructive failure analysis methods are required for either quality control or for providing a rapid fault isolation and defect localization prior to detailed investigations requiring target preparation. Scanning acoustic microscopy (SAM) is a powerful tool enabling the inspection of internal structures in optically opaque materials non-destructively. In addition, depth specific information can be employed for two- and three-dimensional internal imaging without the need of time consuming tomographic scan procedures. The resolution achievable by acoustic microscopy is depending on parameters of both the test equipment and the sample under investigation. However, if applying acoustic microscopy for pure intensity imaging most of its potential remains unused. The aim of the current work was the development of a comprehensive analysis toolbox for extending the application of SAM by employing its full potential. Thus, typical case examples representing different fields of application were considered ranging from high density interconnect flip-chip devices over wafer-bonded components to solder tape connectors of a photovoltaic (PV) solar panel. The progress achieved during this work can be split into three categories: Signal Analysis and Parametric Imaging (SA-PI), Signal Analysis and Defect Evaluation (SA-DE) and Image Processing and Resolution Enhancement (IP-RE). Data acquisition was performed using a commercially available scanning acoustic microscope equipped with several ultrasonic transducers covering the frequency range from 15 MHz to 175 MHz. The acoustic data recorded were subjected to sophisticated algorithms operating in time-, frequency- and spatial domain for performing signal- and image analysis. In all three of the presented applications acoustic microscopy combined with signal- and image processing algorithms proved to be a powerful tool for non-destructive inspection.

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