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010   $a981-13-3552-4
024 7 $a10.1007/978-981-13-3552-5
035   $a(CKB)4100000007595485
035   $a(MiAaPQ)EBC5649673
035   $a(DE-He213)978-981-13-3552-5
035   $a(PPN)233797645
035   $a(EXLCZ)994100000007595485
100   $a20190124d2019      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMultifractals and Chronic Diseases of the Central Nervous System /$fby Dipak Ghosh, Shukla Samanta, Sayantan Chakraborty
205   $a1st ed. 2019.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2019.
215   $a1 online resource (198 pages)
311   $a981-13-3551-6 
327   $aChapter 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.
330   $aThis 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. .
606   $aBiomedical engineering
606   $aNeurosciences
606   $aRadiology
606   $aBiomathematics
606   $aNeurology
606   $aBiomedical Engineering/Biotechnology$3https://scigraph.springernature.com/ontologies/product-market-codes/B24000
606   $aNeurosciences$3https://scigraph.springernature.com/ontologies/product-market-codes/B18006
606   $aDiagnostic Radiology$3https://scigraph.springernature.com/ontologies/product-market-codes/H29013
606   $aMathematical and Computational Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/M31000
606   $aNeurology$3https://scigraph.springernature.com/ontologies/product-market-codes/H36001
615  0$aBiomedical engineering.
615  0$aNeurosciences.
615  0$aRadiology.
615  0$aBiomathematics.
615  0$aNeurology.
615 14$aBiomedical Engineering/Biotechnology.
615 24$aNeurosciences.
615 24$aDiagnostic Radiology.
615 24$aMathematical and Computational Biology.
615 24$aNeurology.
676   $a616.8
700   $aGhosh$b Dipak$4aut$4http://id.loc.gov/vocabulary/relators/aut$0972629
702   $aSamanta$b Shukla$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aChakraborty$b Sayantan$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910350360203321
996   $aMultifractals and Chronic Diseases of the Central Nervous System$92212318
997   $aUNINA