in the name of god the compassionate the merciful
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In The Name of God The Compassionate The Merciful. Wavelet applications for. Larynx Disorders Diagnosis. Introduction. What is Larynx?. Speech. How do we speak? Speaking is made up of two mechanical actions called Phonation and Articulation. - PowerPoint PPT PresentationTRANSCRIPT
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In The Name of God The Compassionate
The Merciful
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Wavelet applications for
Larynx Disorders Diagnosis
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IntroductionWhat is Larynx?
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Speech
How do we speak?
Speaking is made up of two mechanical actions called Phonation and Articulation
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Common Larynx Disorders Muscle Tension Dysphonia
(MTD)
Vocal Tremor
Vocal Fold Paralysis
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Other Common Disorders Laryngeal Cancer
Edema Nodules Polyp
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Voice Characteristics
Amplitude Frequency Energy Entropy Fractal Dimension
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Amplitude
Maximum amplitude to Minimum amplitude ratio
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Energy
Total Energy
Energy in Frames
2)(
1 n
nxN
energy
NwN
Nnw
i
i
nxN
ienergy2
)(1
)(
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Energy Application
Total Energy Noise Test Signal to Noise Ratio( Future Use)
Energy in Frames Recording Environment Characteristics
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Entropy
Shannon Entropy
p-Norm Entropy
log-Energy Entropy ✓
n
pnxxentropy )()(
n
nxxentropy 2)(log)(
22 )(log)()( nxnxxentropyn
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Fractal Dimension
N∆ is the number of times the signal sign is changed.
)4.0
(log)(log
)(log
1010
10
Nnn
n
nD
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Signal
The main signal is a 3-second .wav file in which the user simply says “a”
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Basic Process
1- Chopping the Signal between two points
2- Segmenting the Chopped Signal
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FIR Filters
x(n)
y(n)
Z-1 Z-1 Z-1
gain
x(n-1) x(n-k)x(n-(N-1))
a0 aka1 aN-1
++ +
1
0
)()()(N
k
kaknxgainny
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Filters CoefficientsMATLAB Coefficients for db4 Simply Type:
fname=‘db4’;
LP=dbwavf(fname)
HP(k)=(-1)k×LP(K-1-k)
WLP(k)=LP(K-1-k)
WHP(k)=HP(K-1-k)
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Wavelets
What are Wavelets?
Wavelets are mathematical functions that
cut up data into different frequency components,
and then study each component with a resolution matched to its scale.
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Wavelet Packets
Wavelet packets are particular linear combinations of wavelets.
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Applied Wavelet Packet
Input Signal
DownSample
DownSample
DownSample
DownSample
DownSample
DownSample
LPF
HPF LPF
HPF
HPF
LPF
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Feature Extraction
EnergyEntropyFractal Dimension
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Applied Wavelet Packet
Input Signal
DownSample
DownSample
DownSample
DownSample
DownSample
DownSample
LPF
HPF
LPF
LPF
HPF
HPF
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Best Features Vectors
0 to 31 32 to 47 48 49 50Members
0 to 31
Band 6
Entropy
Members
16 to 31
Band 5
Entropy
Total Fractal Dimension
First Band,
Branch 0
Fractal Dimension
First Band,
Branch 1
Fractal Dimension
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Diagnosis Block
W and B are generated from Genetic Algorithm methods
BXWY
1
Y
Y
e
eP
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Test Program (Normal)
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Test Program (Pathologic)