The method used in this project is

The method used in this project is adaptive noise cancellation (ANC) based on neuro fuzzy logic technique. ANC is a process by which the interference signal can be filtered out by identifying a non linear model between a measurable noise source (which is MECG in this case) and the corresponding immeasurable interference (Assaleh, 2007). This is an extremely useful technique when a signal is submerged in a very noisy environment. Usually, the MECG noise is not steady; it changes from time to time. So the noise cancellation must be an adaptive process: it should be able to work under changing conditions, and be able to adjust itself according to the changing environment. The basic idea of an adaptive noise cancellation algorithm is to pass the corrupted signal (abdominal) through a filter that tends to suppress the MECG while leaving the signal unchanged. As mentioned above, this is an adaptive process, which means it does not require prior knowledge of signal or noise characteristics. Figure 1 shows noise cancellation with ANFIS filtering (Swarnalatha et al, 2009)
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Figure 1: Schematic Diagram Of Adaptive Noise Cancellation Using Neuro Fuzzy Technique.
In this project,
represents the FECG signal that is to be extracted from the noisy signal.
is the MECG which is the noise source signal. The noise signal goes through an unknown nonlinear dynamics (f) and generates a distorted noise
, which is then added to
to form the measurable output (abdominal) signal
. The aim is to retrieve
from the measured signal
which consists of the required signal
Σ
Σ
f
ANFIS

ผลลัพธ์ (แอฟริกา) 1:

Die metode wat gebruik word in hierdie projek is adaptive lawaai (ANC) gebaseer op neuro wasige logika tegniek. ANC is 'n proses waardeur die inmenging sein uit kan gefiltreer word deur die identifisering van 'n nie lineêre model tussen 'n meetbare geraas bron (wat MECG in hierdie geval) en die ooreenstemmende onmeetbare inmenging (Assaleh, 2007). Dit is 'n baie nuttige tegniek wanneer 'n sein is onder die water in 'n baie lawaaierige omgewing. Gewoonlik is die MECG geraas is nie bestendige; dit verander van tyd tot tyd. So het die lawaai moet 'n aanpasbare proses wees: dit moet in staat wees om te werk onder veranderende omstandighede, en in staat wees om homself te pas volgens die veranderende omgewing. Die basiese idee van 'n aanpasbare lawaai algoritme is om die korrupte sein (abdominale) deur 'n filter wat geneig is om die MECG onderdruk terwyl dit die sein onveranderd. Soos hierbo genoem, dit is 'n aanpasbare proses, wat beteken dat dit nie vooraf kennis van die sein of geraas eienskappe vereis. Figuur 1 toon lawaai met ANFIS filter (Swarnalatha et al, die 2009)
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figuur 1:. Skematiese diagram van Adaptive Ruisonderdrukking Gebruik Neuro Fuzzy Tegniek
In hierdie projek,
verteenwoordig die FECG sein wat uit die Noisy Signal onttrek te word.
Is die. MECG wat is die geluid bron sein. Die Geraas Signal gaan deur 'n onbekende lineêre Dynamics (F) en genereer 'n verwronge
Geraas, wat dan bygevoeg om
die vorm te meetbare uitset (abdominale)
Signal. Die doel is om te haal
uit die gemete Signal
wat bestaan ​​van die vereiste Signal
Sigma
Sigma
F
ANFIS.