Bài giảng Biomedical signal processing and modeling - Analysis of Waveshape and Waveform Complexity
ECG waveform analysis
The steps required for ECG waveform analysis:
1. Detection of ECG waves, primarily the QRS complex, & possibly the P & T waves.
2. Delimitation of wave boundaries, including the P, QRS, & T waves.
3. Measurement of intervals, such as RR, PQ, QT, ST, QQ, & PP intervals.
4. Characterization of the morphology (shape) of the waves.
Four measures to characterize QRS complexes:
1. Duration: the duration or width of the QRS complex.
2. Height: the maximum amplitude minus the minimum amplitude of the QRS complex.
3. Offset: the positive or negative vertical distance from the midpoint of the baseline to the center of the QRS complex.
4. Area: the area under the QRS waveform rectified with respect to a straight line through the midpoint of the baseline.
The steps required for ECG waveform analysis:
1. Detection of ECG waves, primarily the QRS complex, & possibly the P & T waves.
2. Delimitation of wave boundaries, including the P, QRS, & T waves.
3. Measurement of intervals, such as RR, PQ, QT, ST, QQ, & PP intervals.
4. Characterization of the morphology (shape) of the waves.
Four measures to characterize QRS complexes:
1. Duration: the duration or width of the QRS complex.
2. Height: the maximum amplitude minus the minimum amplitude of the QRS complex.
3. Offset: the positive or negative vertical distance from the midpoint of the baseline to the center of the QRS complex.
4. Area: the area under the QRS waveform rectified with respect to a straight line through the midpoint of the baseline.
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Nội dung text: Bài giảng Biomedical signal processing and modeling - Analysis of Waveshape and Waveform Complexity
- Nguyễn Công Phương BIOMEDICAL SIGNAL PROCESSING AND MODELING Analysis of Waveshape and Waveform Complexity
- Contents I. Introduction II. Concurrent, Coupled, and Correlated Processes III. Filtering for Removal of Artifacts IV. Detection of Events V. Analysis of Waveshape and Waveform Complexity VI. Frequency Domain Characterization VII.Modeling Biomedical Systems VIII.Analysis of Nonstationary and Multicomponent Signals IX. Pattern Classification and Diagnostic Decision sites.google.com/site/ncpdhbkhn 2
- Analysis of Waveshape and Waveform Complexity 1. Introduction 2. Analysis of ERPs 3. Morphological Analysis of ECG Waves 4. Envelope Extraction and Analysis 5. Analysis of Activity sites.google.com/site/ncpdhbkhn 3
- Introduction • Explain how waveshapes and waveform complexity in biomedical signals relate to the characteristics of the underlying physiological and pathological phenomena. • Propose techniques to parameterize and analyze the signal features you identify. sites.google.com/site/ncpdhbkhn 4
- Analysis of Waveshape and Waveform Complexity 1. Introduction 2. Analysis of ERPs 3. Morphological Analysis of ECG Waves 4. Envelope Extraction and Analysis 5. Analysis of Activity sites.google.com/site/ncpdhbkhn 5
- Analysis of ERPs [Rangayyan, 2015] sites.google.com/site/ncpdhbkhn 6
- Analysis of Waveshape and Waveform Complexity 1. Introduction 2. Analysis of ERPs 3. Morphological Analysis of ECG Waves a) Correlation coefficient b) ECG waveform analysis 4. Envelope Extraction and Analysis 5. Analysis of Activity sites.google.com/site/ncpdhbkhn 7
- Correlation coefficient Propose a general index to indicate altered QRS waveshape, given a normal QRS template. − N 1 x[ n ] y [ n ] γ = n=0 xy − − N1xn2[] N 1 yn 2 [] n=0 n = 0 Normal beats: γxy > 0.9 sites.google.com/site/ncpdhbkhn 8
- Analysis of Waveshape and Waveform Complexity 1. Introduction 2. Analysis of ERPs 3. Morphological Analysis of ECG Waves a) Correlation coefficient b) ECG waveform analysis 4. Envelope Extraction and Analysis 5. Analysis of Activity sites.google.com/site/ncpdhbkhn 9
- ECG waveform analysis (1) [Bronzino, 2006] The steps required for ECG waveform analysis: 1. Detection of ECG waves, primarily the QRS complex, & possibly the P & T waves. 2. Delimitation of wave boundaries, including the P, QRS, & T waves. 3. Measurement of intervals, such as RR, PQ, QT, ST, QQ, & PP intervals. 4. Characterization of the morphology (shape) of the waves. sites.google.com/site/ncpdhbkhn 10