Real Time Data Acquisition In Human Physiology : Real Time Acquisition , Processing , And Interpretation A MATLAB Based Approach (Original PDF From Publisher)

Real Time Data Acquisition In Human Physiology : Real Time Acquisition , Processing , And Interpretation A MATLAB Based Approach (Original PDF From Publisher)

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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