國立虎尾科技大學 |

Multifractals and Chronic Diseases of the Central Nervous System

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Multifractals and Chronic Diseases of the Central Nervous System/ by Dipak Ghosh, Shukla Samanta, Sayantan Chakraborty.
Author:	Ghosh, Dipak.
other author:	Samanta, Shukla.
Description:	XX, 182 p. 77 illus., 51 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Biomedical engineering. -
Online resource:	https://doi.org/10.1007/978-981-13-3552-5
ISBN:	9789811335525

Multifractals and Chronic Diseases of the Central Nervous System
Ghosh, Dipak.

Multifractals and Chronic Diseases of the Central Nervous System[electronic resource] /by Dipak Ghosh, Shukla Samanta, Sayantan Chakraborty. - 1st ed. 2019. - XX, 182 p. 77 illus., 51 illus. in color.online resource.

Chapter 1. Introduction -- Chapter 2. Multifractal study of EEG signal of subjects with Epilepsy and Alzheimer’s -- Chapter 3. Multifractal Approach for Quantification of Autonomic Deregulation due to Epileptic Seizure with ECG data -- Chapter 4. Multifractal Analysis of Electromyography data.-Chapter 5. Multifractal study on Parkinson’s and Huntington diseases with human gait data -- Chapter 6. Multifractal correlation study between posture and autonomic deregulation using ECG and blood pressure data -- Chapter 7. Appendix.

This book primarily focuses on the study of various neurological disorders, including Parkinson’s (PD), Huntington (HD), Epilepsy, Alzheimer’s and Motor Neuron Diseases (MND) from a new perspective by analyzing the physiological signals associated with them using non-linear dynamics. The development of nonlinear methods has significantly helped to study complex nonlinear systems in detail by providing accurate and reliable information. The book provides a brief introduction to the central nervous system and its various disorders, their effects on health and quality of life, and their respective courses of treatment, followed by different bioelectrical signals like those detected by Electroencephalography (EEG), Electrocardiography (ECG), and Electromyography (EMG). In turn, the book discusses a range of nonlinear techniques, fractals, multifractals, and Higuchi’s Fractal Dimension (HFD), with mathematical examples and procedures. A review of studies conducted to date on neurological disorders like epilepsy, dementia, Parkinson’s, Huntington, Alzheimer’s, and Motor Neuron Diseases, which incorporate linear and nonlinear techniques, is also provided. The book subsequently presents new findings on neurological disorders of the central nervous system, namely Parkinson’s disease and Huntington’s disease, by analyzing their gait characteristics using a nonlinear fractal based technique: Multifractal Detrended Fluctuation Analysis (MFDFA). In closing, the book elaborates on several parameters that can be obtained from cross-correlation studies of ECG and blood pressure, and can be used as markers for neurological disorders. .

ISBN: 9789811335525

Standard No.: 10.1007/978-981-13-3552-5doiSubjects--Topical Terms:

588770
Biomedical engineering.

LC Class. No.: R856-R857

Dewey Class. No.: 610.28

Multifractals and Chronic Diseases of the Central Nervous System
LDR:03546nam a22003855i 4500 001 1006740
003 DE-He213
005 20200630125431.0
007 cr nn 008mamaa
008 210106s2019 si | s |||| 0|eng d
020 $a 9789811335525 $9 978-981-13-3552-5
024 7 $a 10.1007/978-981-13-3552-5 $2 doi
035 $a 978-981-13-3552-5
050 4 $a R856-R857
072 7 $a MQW $2 bicssc
072 7 $a MED003040 $2 bisacsh
072 7 $a MQW $2 thema
082 0 4 $a 610.28 $2 23
100 1 $a Ghosh, Dipak. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1288353
245 1 0 $a Multifractals and Chronic Diseases of the Central Nervous System $h [electronic resource] / $c by Dipak Ghosh, Shukla Samanta, Sayantan Chakraborty.
250 $a 1st ed. 2019.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2019.
300 $a XX, 182 p. 77 illus., 51 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a Chapter 1. Introduction -- Chapter 2. Multifractal study of EEG signal of subjects with Epilepsy and Alzheimer’s -- Chapter 3. Multifractal Approach for Quantification of Autonomic Deregulation due to Epileptic Seizure with ECG data -- Chapter 4. Multifractal Analysis of Electromyography data.-Chapter 5. Multifractal study on Parkinson’s and Huntington diseases with human gait data -- Chapter 6. Multifractal correlation study between posture and autonomic deregulation using ECG and blood pressure data -- Chapter 7. Appendix.
520 $a This book primarily focuses on the study of various neurological disorders, including Parkinson’s (PD), Huntington (HD), Epilepsy, Alzheimer’s and Motor Neuron Diseases (MND) from a new perspective by analyzing the physiological signals associated with them using non-linear dynamics. The development of nonlinear methods has significantly helped to study complex nonlinear systems in detail by providing accurate and reliable information. The book provides a brief introduction to the central nervous system and its various disorders, their effects on health and quality of life, and their respective courses of treatment, followed by different bioelectrical signals like those detected by Electroencephalography (EEG), Electrocardiography (ECG), and Electromyography (EMG). In turn, the book discusses a range of nonlinear techniques, fractals, multifractals, and Higuchi’s Fractal Dimension (HFD), with mathematical examples and procedures. A review of studies conducted to date on neurological disorders like epilepsy, dementia, Parkinson’s, Huntington, Alzheimer’s, and Motor Neuron Diseases, which incorporate linear and nonlinear techniques, is also provided. The book subsequently presents new findings on neurological disorders of the central nervous system, namely Parkinson’s disease and Huntington’s disease, by analyzing their gait characteristics using a nonlinear fractal based technique: Multifractal Detrended Fluctuation Analysis (MFDFA). In closing, the book elaborates on several parameters that can be obtained from cross-correlation studies of ECG and blood pressure, and can be used as markers for neurological disorders. .
650 0 $a Biomedical engineering. $3 588770
650 0 $a Neurosciences. $3 593561
650 0 $a Radiology. $3 673943
650 0 $a Biomathematics. $3 527725
650 0 $a Neurology . $3 1253459
650 1 4 $a Biomedical Engineering/Biotechnology. $3 1068811
650 2 4 $a Diagnostic Radiology. $3 593950
650 2 4 $a Mathematical and Computational Biology. $3 786706
650 2 4 $a Neurology. $3 593894
700 1 $a Samanta, Shukla. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1300369
700 1 $a Chakraborty, Sayantan. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1300370
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811335518
776 0 8 $i Printed edition: $z 9789811335532
856 4 0 $u https://doi.org/10.1007/978-981-13-3552-5
912 $a ZDB-2-SBL
912 $a ZDB-2-SXB
950 $a Biomedical and Life Sciences (SpringerNature-11642)
950 $a Biomedical and Life Sciences (R0) (SpringerNature-43708)