Signal Processing Techniques for Computational Health Informatics

Md Atiqur Rahman Ahad, Mosabber Uddin Ahmed

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Knowledge of the biomedical signals is essential in better understanding of the physiological systems. Any variation in biomedical signal characteristics is indicative of change in the part of the body or system from where it originates. Thus, the origin of biomedical signals allows understanding the physiological systems more precisely. This facilitates better diagnosis and monitoring of health conditions by leading to development of novel methods. In this chapter, biomedical signals which are of most interest in signal processing techniques have been given focus. The chapter provides classification of biomedical signals based on different aspects. Then the attention moves to bioelectrical signals. The role of cell membrane is discussed in generation of action potential which is the basic building unit of most bioelectrical signals. In the discussion of major bioelectrical signals; ECG, EMG and EEG, the dynamic and evoked responses of these signals are also addressed apart from their origin and basic characteristics. Some other bioelectrical signals such as EOG, ECoG and EGG are also explained briefly. Finally, the chapter presents an overview of some non-electrical biomedical signals.

Subjek

SIGNAL PROCESSING
INFORMATICS,

Katalog

Signal Processing Techniques for Computational Health Informatics
978-3-030-54932-9
347p.: pdf file.; 8 MB
English

Sirkulasi

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Pengarang

Md Atiqur Rahman Ahad, Mosabber Uddin Ahmed
Perorangan
 
 

Penerbit

Springer
Switzerland
2021

Koleksi

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