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Senior Capstone Design Project Real-Time Electrocardiogram Spectral Analyzer

Senior Capstone Design Project Real-Time Electrocardiogram Spectral Analyzer. Ryan Carnathan, Keith Berry, Mark Stadick, & Greg Michaelson Electrical & Computer Engineering. Requirements. Apply knowledge Solve Real World Problems Work in Multidisciplinary Teams

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Senior Capstone Design Project Real-Time Electrocardiogram Spectral Analyzer

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  1. Senior Capstone Design Project Real-Time Electrocardiogram Spectral Analyzer Ryan Carnathan, Keith Berry, Mark Stadick, & Greg Michaelson Electrical & Computer Engineering

  2. Requirements • Apply knowledge • Solve Real World Problems • Work in Multidisciplinary Teams • To become actively involved in a company or community organization.

  3. Purpose • Used in conjunction with the HP Merlin bedside monitor • Real-time spectral analysis of the beat-to-beat variability • Assess the potential for: • Improved bedside clinical monitoring • Diagnostic and predictive information

  4. Function • Graphical interface for the display and analysis of: • ECG Waveforms • QRS Complex Detection • Heart Rate Variability (HRV) Spectrogram • These functions are performed and displayed in real-time.

  5. Implementation • Hardware • QRS Detection • Spectral Analysis • Integration and User Interface

  6. QRS DetectionOverview • Raw ECG Signal • QRS detection algorithm • Results

  7. QRS Detector Algorithm Bi-directional Low pass Filter Bi-directional High pass Filter Scale and Beat Detect

  8. Block Diagram QRS Detector Resample Filter FFT Fast Fourier Transform Plot

  9. QRS Output • Re-Interpreted Data From QRS Detector • NN (Normal to Normal Beat) Intervals • Indexed by Heart Beats

  10. Resampling • Interpolation/Smoothing • Generate Continuous Curve • Calculate New Sample Values • Resample • Constant Sample Time Required for FFT • Improved Scaling • Enhanced Image

  11. Resampling • Input Signal from QRS Detector: • Resampled, Smoothed Signal:

  12. Filtering • Artifacts • Ectopic Beats • Motion Artifacts • Appear as Large Spikes in Signal • Filter • Removes/Reduces Artifacts • Passes Frequency Content of Interest

  13. Filtering • Resampled Signal: • Filtered Signal:

  14. Spectrogram • Estimating Spectral Power • Remove Mean Value • Perform Fast Fourier Transform (FFT) • Estimate Spectral Content • Power Estimation - |FFT|2

  15. Spectrogram • Power Spectral Density (PSD) Plot • Frequency vs Time • Relative PSD Indicated by Color Spectrum • Represents Heart Rate Variability

  16. Questions ?

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