by Dipali Bansal (Author)
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.
