Real-Time Data Acquisition in Human Physiology: A MATLAB-Based Approach

By Dipali Bansal, this book 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.

Key Features:

Application-Driven Approach: 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.

Instrumentation and Digital Signal Processing: 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.

Computer-Based System: 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.

MATLAB-Based Algorithm: Covers a MATLAB-based algorithm for online noise reduction, features extraction techniques, and infers diagnostic features in real time.

PC-Based Twin Channel Acquisition System: Provides proof of concept of a PC-based twin channel acquisition system for the recognition of multiple physiological parameters.

Digital Signal Controller: Establishes the use of Digital Signal Controller to enhance features of acquired human physiology.

Carotid Pulse Waveforms for HRV Analysis: Presents the use of carotid pulse waveforms for HRV analysis in critical situations using a very simple hardware/software arrangement.

Publication Details: Publisher: Elsevier Science; June 15, 2021. Language: English. ISBN: 9780128221181, 9780128221563.