https://www.annarosamattei.com/?p=h4adqsjf0 The aim of Mechano-Electric Correlations in the Human Physiological System is to present the mechanical and electrical properties of human soft tissues and the mathematical models related to the evaluation of these properties in time, as well as their biomedical applications. This book also provides an overview of the bioelectric signals of soft tissues from various parts […]

Mechano-Electric Correlations in the Human Physiological System

Length: 112 pages
Edition: 1
Language: English
Publisher: CRC Press
Publication Date: 2021-04-29
ISBN-10: 0367622629
ISBN-13: 9780367622626
Sales Rank: #7961931 (See Top 100 Books)

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click The aim of https://semichaschaver.com/2025/04/03/tnznmkmwh Mechano-Electric Correlations in the Human Physiological System is to present the mechanical and electrical properties of human soft tissues and the mathematical models related to the evaluation of these properties in time, as well as their biomedical applications. This book also provides an overview of the bioelectric signals of soft tissues from various parts of the human body. In addition, this book presents the basic dielectric and viscoelastic characteristics of soft tissues, an introduction to the measurement and characteristics of bioelectric signals and their relationship with the mechanical activity, electromyography and the correlation of electromyograms with the muscle activity in normal and certain clinical conditions. The authors also present a case study on the effect of lymphatic filariasis on the mechanical and electrical activity of the muscle.

https://www.masiesdelpenedes.com/4f8p8w11gsh Features:

Explains the basics of electrical and mechanical properties of soft tissues in time and frequency domain along with the mathematical models of soft tissue mechanics
Explores the correlation of electrical properties with the mechanical properties of biological soft tissues using computational techniques
Provides a detailed introduction to electrophysiological signals along with the types, applications, properties, problems and associated mathematical models
Explains the electromechanics of muscles using electromyography recordings from various muscles of the human physiological system
Presents a case study on the effect of lymphatic filariasis on the mechanical and electrical activity of the muscle

https://www.anonpr.net/lhvymknvl3u follow link Mechano-Electric Correlations in the Human Physiological System is intended for biomedical engineers, researchers and medical scientists as well graduate and undergraduate students working on the mechanical properties of soft tissues.

https://audiopronews.com/headlines/9t9tidz Cover Half Title Series Page Title Page Copyright Page Table of Contents Preface Acknowledgement Authors Chapter 1 Mathematical Modeling and Analysis of Soft Tissue Viscoelasticity and Dielectric Relaxation 1.1 Mathematical Modeling in Medicine and Biology 1.2 Soft Tissue Characteristics 1.3 Physical Models of Soft Tissues 1.4 Soft Tissue Viscoelasticity 1.4.1 Viscoelastic Testing of Soft Tissues 1.5 Mathematical Modeling of Soft Tissue Viscoelasticity 1.6 Dielectric Models of Soft Tissues References Chapter 2 Relationship between Viscoelastic and Dielectric Properties of Biological Soft Tissues 2.1 Electromechanical Correlations in Biological Soft Tissues 2.2 Correlation between Mechanical and Electrical Properties in the Liver and Brain Tissue 2.3 Artifiial Neural Networks in the Prediction of Soft Tissue Viscoelastic Properties 2.4 Prediction of Soft Tissue Viscoelastic Properties by Support Vector Regression References Chapter 3 Electrophysiology 3.1 Action Potentials 3.1.1 Biopotential 3.1.2 Propagation of Action Potentials 3.2 Hodgkin–Huxley Model 3.3 Biomedical Signals 3.3.1 Classification Based on the Biosignal Source 3.3.2 Classification Based on the Biosignal Model 3.3.3 Classification Based on the Dimensionality 3.3.4 Classification Based on the Number of Channels 3.3.5 Classification Based on the Nature of the Biosignals 3.4 Problems Associated with Recording Biomedical Signals 3.5 Physiological Transducers 3.5.1 Example of Biomedical Transducers 3.6 Electrode Types 3.7 Skin–Electrode Model 3.8 Typical Signals 3.8.1 Electrocardiogram (ECG) 3.8.2 Electromyograms 3.9 Biosignal Amplifiers 3.10 Filters References Chapter 4 Electromyograms 4.1 Neuromuscular System and Electromyography 4.2 Effect of Electrode Types on the Acquired EMG Signals 4.3 Types of Muscles 4.4 Characteristics of EMG Signals 4.5 Electrode Placement 4.6 Computational Analysis on Normal and Abnormal EMG Signals 4.6.1 Spectrogram 4.6.2 Statistical Analysis of EMG Signals 4.6.3 Hjorth Parameters 4.6.4 Hurst Exponent 4.6.5 Fractal Dimension 4.6.6 Zero Crossing 4.6.7 Spectral Entropy 4.6.8 Tsallis Entropy References Chapter 5 Activity of Muscles in Non-Myopathic Conditions: A Case Study from Lymphatic Filariasis 5.1 Filariasis and Lymphoedema 5.2 Acquisition of EMG Signals 5.3 Time-Domain Analysis of Normal and Fibrotic EMG Signals 5.4 Frequency-Domain Analysis of Normal and Fibrotic Electromyograms References Index