Comparison of Statistical Methods for Delay Measurement between Heart Sound Signals PowerPoint PPT Presentation

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Title: Comparison of Statistical Methods for Delay Measurement between Heart Sound Signals


1
Comparison of Statistical Methodsfor Delay
Measurement between Heart Sound Signals
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2
Outline
  • Arterial stiffness
  • Heart Carotid sounds
  • Methods
  • TF Estimation Welch, Regression, Ridge
    Regression
  • Phase Delay
  • Cross Correlation with Predicted Signal
  • Results
  • Simulation, Healthy, Cardiac patients
  • Discussion Conclusions

3
Arterial Stiffness - Definition
4
Arterial Stiffness - Control
  • Goal distribute blood to active tissues by
    controlling smooth muscle constriction
  • Metabolic control
  • Heart, brain, contracting skeleton muscles
  • Neural control (mostly sympathetic) -
  • Skin, resting skeletal muscles
  • Arterioles, muscular arteries, large arteries
  • Long term (tonic) and short term (phasic)
  • Other affecting factors (age, disease, BP)

5
Arterial Stiffness - Evaluation
  • Goal prognostic and therapeutic information
    beyond blood pressure measurements
  • Direct methods
  • Change of arterial dimensions in response to
    pressure change (US echo-tracking, MRI)
  • Indirect methods
  • Pulse contour analysis (Pulse wave, Finger IR)
  • Pulse wave velocity (Tonometry, QKd, MRI, Doppler
    US)
  • Pulse wave velocity
  • Pulse pressure wave low frequency signal
  • Time-delay between two places
  • Foot-to-toot, peak-to-peak, cross correlation

6
Heart Sounds Mechanical Correlations
7
Heart Sounds Auscultation Areas
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Heart sounds PCG, ECG and CP
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Heart sounds PCG, ECG and BP
10
Carotid Artery Sounds (CAS)
Taken from Hasegawa,1991
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Carotid Sounds PCG and CAS
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Methodology
Welch, Regression or Ridge
BPF
phase
slope
TFE
BPF
TD filter
Pred
Env
Peak
CC
Env
Peak
13
TFE General FIR Model
v(n)
h

x(n)
y(n)
14
TFE Model - Welch
  • The periodogram
  • Welchs method for PSD estimation
  • windowing and averaging
  • Welchs transfer function estimator
  • The Coherence function

15
TFE Model Regression and Ridge
  • Multiple regression model
  • (y Carotid Signal, X Heart Sound)
  • Multiple regression solution
  • Ridge regression solution

16
Delay Estimation Phase Data
  • Calculated between the S1/S2 complex at the heart
    and carotid
  • Time delay calculation
  • method I
  • Method II Linear regression over phase data
  • Main difficulty How to choose relevant
    frequencies for optimal Time Delay Estimation
  • Solution frequency range of linear phase and
    high coherence values (30-90Hz, 30-120Hz)

17
Simulation - Phase Data
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Simulation Prediction (15dB)
19
Simulation - GCC Envelope
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Healthy Subject No Breathing
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Healthy Subject Two Peaks
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Healthy Subject S1 Removed
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Healthy Subject One Peak
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Healthy Subject Phase Coherence
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Healthy Subject - Breathing Noise
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Breathing Noise GCC
Before BPF
After BPF
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Breathing Noise Phase
Before BPF
After BPF
28
Breathing Noise Carotid Prediction
Aligned with caS2
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Patient Missing S1, Short S2 Delay
Patient Recordings Were Provided by MediMon Inc.
30
Patient GCC
Regress
Welch
Ridge
No TFE
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Patient Time Domain Filters
Regress
Welch
Ridge
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Discussion Conclusions
  • Time-delay estimation of propagating heart pulse
    pressure wave is useful for monitoring short-term
    changes of arterial stiffness.
  • Heart and carotid sounds may be used instead of
    pressure wave, as demonstrated by Hasegawa.
  • GCC (Generalized Cross Correlation) of heart
    sound signal and predicted carotid signal
    according to Welch TFE (GCC) is sensitive to
    multiple delays, breathing noise, frequency
    filters etc.
  • Linear regression of Welchs TFE phase requires
    frequency selection, and is not reliable when
    coherence is low (patient 1).
  • GCC with Ridge Regression TFE is the most stable
    method.

33
Future Directions
  • Check if propagation speed of heart sounds
    reflects arterial stiffness.
  • Validate results on larger population
  • Simulate of real events
  • Combine with pre-segmentation of S1 S2
  • Check adaptive methods
  • Synchronized averaging of Welchs TFE

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Patient Welch Prediction
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Patient Ridge Prediction
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Patient Regression Prediction
37
Patient 1 Low Coherence
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Patient 1 Ridge More Stable
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Patient 1 Opposite time delays
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Time Domain Filter Envelope (0dB)
Regress
Welch
Ridge
41
Time Domain Filter Envelope (15dB)
Regress
Welch
Ridge
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