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Enhancing Diagnostic Quality of ECG in Mobile Environment
11/30/2018 ESS Open Day Enhancing Diagnostic Quality of ECG in Mobile Environment PhD: Taihai CHEN Supervisor: Dr. Koushik Maharatna what is the problem? what are the previous attempts to solve this problem? what is your solution?, your contribution ?
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Outlines Background & Motivation ECG Feature Detection
11/30/2018 ESS Open Day Outlines Background & Motivation ECG Feature Detection Robust Feature Exploration Enhance with More Features Digital System Design Conclusion
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Outlines Background & Motivation ECG Feature Detection
11/30/2018 ESS Open Day Outlines Background & Motivation ECG Feature Detection Robust Feature Exploration Enhance with More Features Digital System Design Conclusion
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Background & Motivation
11/30/2018 ESS Open Day Background & Motivation Electrocardiogram (ECG) System Standard 12-Lead ECG System Mobile ECG System
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Background & Motivation
11/30/2018 ESS Open Day Background & Motivation The problem of continuous monitoring… Battery just dies…
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Outlines Background & Motivation ECG Feature Detection
11/30/2018 ESS Open Day Outlines Background & Motivation ECG Feature Detection Robust Feature Exploration Enhance with More Features Digital System Design Conclusion
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ECG Feature Detection Proposed Two Algorithms:
11/30/2018 ESS Open Day ECG Feature Detection Proposed Two Algorithms: Time-Domain Morphology and Gradient Algorithm (TDMG) Gradient Analysis Adaptive Thresholds Hybrid Feature Detection Algorithm (HFDA) Time-Frequency Analysis Discrete Wavelet Transform
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Outlines Background & Motivation ECG Feature Detection
11/30/2018 ESS Open Day Outlines Background & Motivation ECG Feature Detection Robust Feature Exploration Enhance with More Features Digital System Design Conclusion
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Robust Feature Exploration
11/30/2018 ESS Open Day Robust Feature Exploration Spectral Energy Discrete Wavelet Transform Spectral Energy Extraction P Energy T Energy QRS Energy
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Robust Feature Exploration
11/30/2018 ESS Open Day Robust Feature Exploration Four Ways to Derive Spectral Energy Chose one that give us the best accuracy Robustness of Spectral Energy against Misdetection Statistical Analysis of the Variation of Spectral Energy Under Misdetection Classification Performance using Spectral Energy as a Feature Under Misdetection Misdetection Error
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Robust Feature Exploration
11/30/2018 ESS Open Day Robust Feature Exploration Choice of Classifiers Linear & Quadratic Discriminant Analysis Support Vector Machine (SVM) with Linear & Quadratic Kernels k-Nearest Neighbor (k-NN)
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11/30/2018 ESS Open Day
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Outlines Background & Motivation ECG Feature Detection
11/30/2018 ESS Open Day Outlines Background & Motivation ECG Feature Detection Robust Feature Exploration Enhance with More Features Digital System Design Conclusion
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Enhance with More Features
11/30/2018 ESS Open Day Enhance with More Features Spectral energy-based Classification with More Features Various features from FFT, DWT, etc. Four selected most representative and useful feature selection algorithms ReliefF InfoGain Correlation-based Feature Selection (CFS) Fast Correlation-based Filter (FCBF) Single Heart-beat and Multiple Heart-beat Analysis
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Enhance with More Features
11/30/2018 ESS Open Day Enhance with More Features
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Outlines Background & Motivation ECG Feature Detection
11/30/2018 ESS Open Day Outlines Background & Motivation ECG Feature Detection Robust Feature Exploration Enhance with More Features Digital System Design Conclusion
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11/30/2018 ESS Open Day Digital System Design
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11/30/2018 ESS Open Day Digital System Design
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Outlines Background & Motivation ECG Feature Detection
11/30/2018 ESS Open Day Outlines Background & Motivation ECG Feature Detection Robust Feature Exploration Enhance with More Features Digital System Design Conclusion
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Conclusion Proposed two ECG feature detection algorithms
11/30/2018 ESS Open Day Conclusion Proposed two ECG feature detection algorithms Robustness Feature Exploration More Feature to Enhance Application-Specific Integrated Circuits (ASIC) chip design
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11/30/2018 ESS Open Day Thanks for listening!
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11/30/2018 ESS Open Day Q & A
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11/30/2018 ESS Open Day ECG Feature Detection TDMG 1 3 2
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11/30/2018 ESS Open Day ECG Feature Detection HFDA 1 3 2
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Robust Feature Exploration
11/30/2018 ESS Open Day Robust Feature Exploration Stage 1 Stage 2 Stage 3 Wave Boundary Localisation QRS ECG Snap Shot Spectral Energy Extraction T P DWT Analysis (Haar Wavelet)
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Experiments & Analysis
11/30/2018 ESS Open Day Experiments & Analysis Database 52 Normal and 52 Abnormal 12-Lead ECG signals Feature Generation Feature Ranking Fisher’s criterion Feature Space Selection Exhaustive simulation 10-fold cross validation Testing Accuracy F 84 F 36
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Robust Feature Exploration
11/30/2018 ESS Open Day Robust Feature Exploration F P F T F PR F QRS F’ QRS F QT F’ QT Lead 1 F P F T F PR F QRS F’ QRS F QT F’ QT Lead 2 … F P F T F PR F QRS F’ QRS F QT F’ QT Lead 12 Low Freq High Freq Combined Freq
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Best subset of leads with associated best features for classification
11/30/2018 ESS Open Day Best subset of leads with associated best features for classification QDA SVML SVMQ k-NN # of Lead 1 Lead 2 Leads 3 Leads 4 Leads 5 Leads LDA # of Lead 1 Lead 2 Leads 3 Leads 4 Leads 5 Leads F F F F F F F F F F F F F F F
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Robust Feature Exploration
11/30/2018 ESS Open Day Robust Feature Exploration Jitter Effect Introduce Misdetection Errors
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Robust Feature Exploration
11/30/2018 ESS Open Day Robust Feature Exploration Modified 10-fold Cross Validation
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Enhance with More Features
11/30/2018 ESS Open Day Enhance with More Features Spectral energy-based Classification A more in-depth analysis for five selected classifiers Single Heart-beat and Multiple Heart-beat Analysis
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11/30/2018 ESS Open Day
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