Bài giảng Biomedical signal processing and modeling - Concurrent, Coupled, and Correlated Processes

Nội dung text: Bài giảng Biomedical signal processing and modeling - Concurrent, Coupled, and Correlated Processes

1. Nguyễn Công Phương BIOMEDICAL SIGNAL PROCESSING AND MODELING Concurrent, Coupled, and Correlated Processes
2. 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
3. Concurrent, Coupled, and Correlated Processes 1. Introduction 2. Illustration of the Problem with Case Studies 3. Application: Segmentation of the PCG sites.google.com/site/ncpdhbkhn 3
4. Introduction • The human body is a complex integration of a number of biological systems with several ongoing physiological, functional, and possibly pathological processes. • Most biological processes within a body are not independent of one another; rather, they are mutually correlated and bound together by physical or physiological control and communication phenomena. • Analyzing any single process without due attention to others that are concurrent, coupled, or correlated with the process may provide only partial information and pose difficulties in the comprehension of the process. • This chapter is to determine the correspondences, correlation, and interrelationships present between concurrent signals related to a common underlying physiological system or process, and identify their potential applications. sites.google.com/site/ncpdhbkhn 4
5. Concurrent, Coupled, and Correlated Processes 1. Introduction 2. Illustration of the Problem with Case Studies a) The ECG and the PCG b) The PCG and the carotid pulse c) The ECG and the atrial electrogram d) Cardiorespiratory interaction e) The importance of HRV f) The EMG and VMG 3. Application: Segmentation of the PCG sites.google.com/site/ncpdhbkhn 5
6. The ECG and the PCG I. Abdulazez et al. Stimulation Recording of an ECG, PCG, and PPG for feature Extractions. Al- Khwarizmi Engineering Journal 10(4): 81-93, 10/2014. • A clinical ECG (electrocardiogram) record typically includes 12 channels of sequentially or simultaneously recorded signals, and can be used on its own to diagnose many cardiac diseases. • The PCG (phonocardiogram) is a more complex signal. • They are concurrent phenomena, with the noticeable difference that the former is electrical while the latter is mechanical (sound or vibration). sites.google.com/site/ncpdhbkhn 6
7. The PCG and the carotid pulse I. Abdulazez et al. Stimulation Recording of an ECG, PCG, and PPG for feature Extractions. Al-Khwarizmi Engineering Journal 10(4): 81-93, 10/2014. sites.google.com/site/ncpdhbkhn 7
8. Concurrent, Coupled, and Correlated Processes 1. Introduction 2. Illustration of the Problem with Case Studies a) The ECG and the PCG b) The PCG and the carotid pulse c) The ECG and the atrial electrogram d) Cardiorespiratory interaction e) The importance of HRV f) The EMG and VMG 3. Application: Segmentation of the PCG sites.google.com/site/ncpdhbkhn 8
9. The ECG and the atrial electrogram • It becomes necessary to study atrial activity independent of ventricular activity and establish their association. sites.google.com/site/ncpdhbkhn 9
10. Cardiorespiratory interaction ECG signal of a subject with the subject breathing normally ECG signal of a subject with the subject holding breath R.M. Rangayyan. Biomedical Signal Analysis . Wiley, 2015 • The heart rate is affected by normal breathing due to the coupling and interaction existing between the cardiac and respiratory systems. • Breathing also affects the transmission of the heart sounds from the cardiac chambers to the chest surface. sites.google.com/site/ncpdhbkhn 10