Real Time Data Acquisition In Human Physiology : Real Time Acquisition , Processing , And Interpretation A MATLAB Based Approach (EPUB)

Real Time Data Acquisition In Human Physiology : Real Time Acquisition , Processing , And Interpretation A MATLAB Based Approach (EPUB)

Written by Dipali Bansal

A computer-based system for the real-time digital processing and detection of human ECG, EMG, and carotid pulse waveforms is the main topic of Real-Time Data Acquisition in Human Physiology: Real-Time Acquisition, Processing and Interpretation—A MATLAB Based Approach.

The native system created and presented in this book enables bio-signal detection with an easy-to-use hardware configuration. The ability of MATLAB to perform computational tasks such as viewing, digital filtering and feature extraction from obtained bio signals is confirmed.

This book presents a way to provide real-time monitoring, processing, and interpretation of human physiology at a reasonable cost that is more feasible and would help a greater number of patients. gives an experimental , multidisciplinary, application-driven approach to bio-signal processing, emphasizing the collection, analysis,

and interpretation of human ECG, EMG , carotid pulse, and heart rate variability data. covers digital signal processing techniques and instrumentation that are helpful for real-time detection and interpretation of human physiology. It also presents the experimental design and methodology in an understandable manner. explains the creation of a computer-based system that can communicate directly with a PC via its sound connection and does not require specialized DAQ and ADC equipment.

discusses features extraction methods, a MATLAB-based online noise reduction system, and real-time feature inference for diagnostics. demonstrates the viability of a twin channel acquisition system based on a PC for the identification of several physiological indicators. demonstrates how to use a digital signal controller to improve obtained human physiology features. demonstrates how to use a very basic hardware/software setup to analyze HRV in crucial scenarios utilizing carotid pulse waveforms.

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