Real-Time Data Acquisition in Human Physiology: Real-Time Acquisition, Processing, and Interpretation—A MATLAB-Based Approach focuses on the design and development of a computer-based system to detect and digitally process human ECG, EMG, and carotid pulse waveforms in real time. The indigenous system developed and described in this book allows for an easy-to-interface, simple hardware arrangement for bio-signal detection. The computational functionality of MATLAB is verified for viewing, digital filtration, and feature extraction of acquired bio-signals.
This book demonstrates a method of providing a relatively cost-effective solution to human physiology real-time monitoring, processing, and interpretation that is more realizable and would directly benefit a larger population of patients.
1. 1 : Introduction - p. Page xiii 2. 2 : PC-based data acquisition - p. Page 18 3. 3 : Detection and processing of real-time carotid pulse waves - p. Page 53 4. 4 : Real-time detection and processing of electromyography signal - p. Page 80 5. 5 : Real-time detection and processing of electrocardiogram signal - p. Page 105 6. 6 : Measurement and analysis of heart rate variability - p. Page 140 7. 7 : Conclusion - p. Page 167 8. Index - p. Page 185
Real-Time Data Acquisition in Human Physiology: Real-Time Acquisition, Processing, and Interpretation—A MATLAB-Based Approach focuses on the design and development of a computer-based system to detect and digitally process human ECG, EMG, and carotid pulse waveforms in real time. The indigenous system developed and described in this book allows for an easy-to-interface, simple hardware arrangement for bio-signal detection. The computational functionality of MATLAB is verified for viewing, digital filtration, and feature extraction of acquired bio-signals.
This book demonstrates a method of providing a relatively cost-effective solution to human physiology real-time monitoring, processing, and interpretation that is more realizable and would directly benefit a larger population of patients.
1. 1 : Introduction - p. Page xiii 2. 2 : PC-based data acquisition - p. Page 18 3. 3 : Detection and processing of real-time carotid pulse waves - p. Page 53 4. 4 : Real-time detection and processing of electromyography signal - p. Page 80 5. 5 : Real-time detection and processing of electrocardiogram signal - p. Page 105 6. 6 : Measurement and analysis of heart rate variability - p. Page 140 7. 7 : Conclusion - p. Page 167 8. Index - p. Page 185
