Mais conteúdo relacionado Semelhante a CME Swiss AG and Spectral Dynamic Technology in Modern Medicine (20) CME Swiss AG and Spectral Dynamic Technology in Modern Medicine1. Our Goal – Health for All!
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2. Scientific Behind CME “Complex Medical Expert”
Spectral Analysis
What is Spectral Dynamic Spectroscopy ?
• The study of a visual spectra images of any known frequencies and wave
forms.
• Spectroscopy is often used in physical and analytical chemistry for the
identification of substances.
• A device for recording a spectrum is a spectrometer. Spectrometry can be
classified according to the physical quantity which is measured or calculated.
• Spectroscopy is also heavily used in astronomy. Most large telescopes have
spectrographs, which are used to measure the chemical composition and
physical properties of astronomical objects.
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3. Physical quantity measured
Spectral Analysis
• The type of spectroscopy depends on the physical quantity measured.
Normally, the quantity that is measured is an amount or intensity of
something.
• The intensity of emitted electromagnetic waves and the amount of
absorbed electromagnetic waves are studied by electromagnetic
spectroscopy
• Kinetic energy of particles is studied by electron energy loss spectroscopy.
• The mass-to-charge ratios of molecules and atoms are studied in mass
spectrometry, sometimes called mass spectroscopy. Mass spectrometry is
a measuring technique and can produce a spectrum of masses, a mass
spectrum, similar in appearance to other spectroscopy techniques.
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6. Spectral Analysis
In physics and optics, the Fraunhofer lines are a set of spectral lines named for
the German physicist Joseph von Fraunhofer (1787--1826). The lines were
originally observed as dark features in the optical spectrum of the Sun.
The English chemist William Hyde Wollaston was in 1802 the first person to
note the appearance of a number of dark features in the solar spectrum. In
1814, Fraunhofer independently rediscovered the lines and began a systematic
study and careful measurement of the wavelength of these features. In all, he
mapped over 570 lines, and designated the principal features with the letters A
through K, and weaker lines with other letters.
It was later discovered by inventors of spectroscope Georg Kirchoff and Robert
Wilhelm Bunsen that each chemical element was associated with a set of
spectral lines, and deduced that the dark lines in the solar spectrum were
caused by absorption by those elements in the upper layers of the sun. The
major Fraunhofer lines, and the elements they are associated with, are shown
in the following table:
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9. CME as Spectra-dynamic Analyzer
• A spectrum analyzer is a device used to examine the spectral composition of
some electrical waveform. It is an instrument that transforms an incoming
time-domain waveform into a frequency spectrum, or generally a sequence of
such spectra.
• Some spectrum analyzers are also referred to as spectrographs, depending
on the precise nature of the waves.
• The spectrum analyzer is a digital device that uses the Wavlet Transform
(WT) a mathematical process that transforms a waveform into the
components of its frequency spectrum. As a result, computer programs can
compute such transforms in real time, and make visual processing easier,
allowing real-time spectrographic analysis with great accuracy. Such spectral
analysis, or spectroscopy, has become an important scientific tool for
analyzing compositions of unknown as well as known matter.
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10. Visualization of the emission pattern of the The Spectral – Dynamic analyses of the intensity,
background electric field movement pattern, and changes in the behavior of the
field
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12. Digitalized Spectral – Dynamic model
Spectral – Dynamic Marker
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13. Marker with multiple digitalized clusters
Information s
Clusters
Example of the cluster aria on the
marker
s
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14. Database of the standard Spectral – Dynamic Markers
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15. The report of the
analyzed marker
Recording of a person‘s
Spectral – Dynamic Marker
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16. A visual graphic representation of the
comparative analysis of the recorded marker
with the standard markers from the database.
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17. Recording and analysis of the
The report
marker
Causality chain
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18. Recorded marker of a person
Combining selected markers from the database with
person‘s marker
Inverting of the markers and compensation
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