Real-Time Data Acquisition in Human Physiology

Real-Time Acquisition, Processing, and Interpretation-A MATLAB-Based Approach
Erscheinungsjahr 2021
ISBN: 978-0-12-822118-1
Verlag: William Andrew Publishing

Buch, Englisch, 208 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 390 g

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.

Zielgruppe

Graduates, PhD students, and lecturers in computer science, biomedical engineering, and electrical engineering, as well as scientific researchers in biomedical fields and clinicians.

Autoren/Hrsg.

Bansal, Dipali

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Vorklinische Medizin: Grundlagenfächer Physiologie

Inhaltsverzeichnis

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

Über Autor(innen)

Bansal, Dipali
Dr. Dipali Bansal is the Dean of Engineering at Graphic Era (Deemed to be University), Dehradun, India. She is part of a curiosity-driven research group working in the field of bio-signal processing that brings together experimental and theoretical techniques and approaches in acquiring and analyzing human physiological parameters, namely ECG, EMG, EEG signals, using professional tools like MATLAB and LabVIEW. She got her Bachelor's degree from BIT Sindri and obtained a PhD in Bio-signal Processing from Jamia Millia Islamia Central University, New Delhi, India. In more than two decades of her professional career, she has honed her skills as an academician, a researcher, and also as an administrator.