Contents & References of Estimation of breathing rate from pulse oximeter signal of people with sleeping sickness - review and comparison of different methods
List:
1-Introduction.. 2
1-1-Definition of sleep apnea 2
1-2-Pulse oximeter device. 4
1-3- Necessity of measuring breathing rate 5
1-4-Methods of measuring respiratory variables. 5
1-5-Using the PPG signal to estimate the breathing rate. 6
1-5-1- Definition of photoplethysmogram signal. 6
1-5-2- PPG signal relationship and respiratory system. 7
1-6- Problem definition. 8
1-7-a look at the thesis chapters. 9
2-Background and theoretical foundations of the research. 12
2-1- The history of using the PPG signal to extract respiratory information. 12
2-2- PPG signal processing methods. 14
2-2-1-Violet analysis. 15
2-2-2- self-reversal modeling. 20
2-2-3-kurtosis. 22
2-3-Different methods of extracting respiratory information from the PPG signal. 23
2-3-1-Data collection. 23
2-3-2-Methods for removing motion noise from the PPG signal. 24
2-3-3-motion noise reduction algorithm using wavelet transform. 24
2-4- Existing methods for extracting respiratory information from PPG signal. 29
2-4-1-Improved multiscale principal component analysis. 29
2-4-2-self-return algorithm. 34
2-4-3-Secondary wavelet feature decoupling algorithm. 37
2-4-4-Fix frequency complex demodulation algorithm. 43
2-4-5-digital filtering algorithm. 46
2-4-6-algorithm empirical mode decomposition. 48
3- Method of conducting research. 53
3-1- Data collection from patients with sleep apnea. 53
3-1-1-Polysmography. 53
3-1-2-Plysmenography device. 54
3-2- Proposed method to estimate the breathing rate from the PPG signal of people with sleep apnea. 55
3-2-1- Pre-processing and noise removal. 56
3-2-2-Respiration rate extraction from reconstructed PPG signal using AR model. 60
4- Tests and results. 64
4-1- The results of implementing the proposed method on real data. 64
5- Conclusion and suggestions. 68
5-1-Conclusion. 68
5-2-Future proposals. 69
6. List of sources
Source:
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