Real-Time Data Acquisition in Human Physiology: Real-Time Acquisition, Processing, and Interpretation—A MATLAB-Based Approach

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.

• Presents  an application-driven, interdisciplinary, and experimental approach to  bio-signal processing with a focus on acquiring, processing, and  understanding human ECG, EMG, carotid pulse data and HRV.
• Covers  instrumentation and digital signal processing techniques useful for  detecting and interpreting human physiology in real time, including  experimental layout and methodology in an easy-to-understand manner.
• Discusses  development of a computer-based system that is capable of direct  interface through the sound port of a PC and does not require  proprietary DAQ units and ADC units.
• Covers  a MATLAB-based algorithm for online noise reduction, features  extraction techniques, and infers diagnostic features in real time.
• Provides  proof of concept of a PC-based twin channel acquisition system for the  recognition of multiple physiological parameters.