Real-Time Data Acquisition in Human Physiology

Real-Time Acquisition, Processing, and Interpretation—A MATLAB-Based Approach

Dipali Bansal

• Publisher: Academic Press
• Year: 2021
• ISBN:
  9780128221563
• Topic: Sciences biologiques
• Subtopic: Biotechnologie

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.
• Establishes the use of Digital Signal Controller to enhance features of acquired human physiology.
• Presents the use of carotid pulse waveforms for HRV analysis in critical situations using a very simple hardware/software arrangement.

Table of contents

• Cover image
• Title page
• Table of Contents
• Copyright
• Preface
• Acknowledgment
• 1. Introduction
• 2. PC-based data acquisition
• 3. Detection and processing of real-time carotid pulse waves
• 4. Real-time detection and processing of electromyography signal
• 5. Real-time detection and processing of electrocardiogram signal
• 6. Measurement and analysis of heart rate variability
• 7. Conclusion
• Index