Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Multifractals and Chronic Diseases of the Central Nervous System / / by Dipak Ghosh, Shukla Samanta, Sayantan Chakraborty
| Multifractals and Chronic Diseases of the Central Nervous System / / by Dipak Ghosh, Shukla Samanta, Sayantan Chakraborty |
| Autore | Ghosh Dipak |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (198 pages) |
| Disciplina | 616.8 |
| Soggetto topico |
Biomedical engineering
Neurosciences Radiology Biomathematics Neurology Biomedical Engineering/Biotechnology Diagnostic Radiology Mathematical and Computational Biology |
| ISBN | 981-13-3552-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNINA-9910350360203321 |
Ghosh Dipak
|
||
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Musicality of Human Brain through Fractal Analytics / / by Dipak Ghosh, Ranjan Sengupta, Shankha Sanyal, Archi Banerjee
| Musicality of Human Brain through Fractal Analytics / / by Dipak Ghosh, Ranjan Sengupta, Shankha Sanyal, Archi Banerjee |
| Autore | Ghosh Dipak |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XVII, 232 p. 119 illus., 111 illus. in color.) |
| Disciplina | 621.382 |
| Collana | Signals and Communication Technology |
| Soggetto topico |
Signal processing
User interfaces (Computer systems) Human-computer interaction Neurosciences Neuropsychology Signal, Speech and Image Processing User Interfaces and Human Computer Interaction Neuroscience |
| ISBN | 981-10-6511-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Methodology -- Emotions from Hindustani Classical Music: An EEG based study with evidence of neural hysteresis -- Musical perception and visual imagery: Do musicians visualize while performing? -- Tanpura drone and brain dynamics: How a simple acoustic signal affects brain rhythms -- In search of universality of music: effect of cross cultural instrumental clips -- Gestalt phenomenon in music: which frequencies do we hear? -- Quantification of musical emotion with neural jitter-shimmer: novel study with hindustani music -- An approach to encapsulate improvisation in hindustani classical music -- Ambiguity in hindustani classical music: development of an automated algorithm to asses ambiguity -- Computing the pitch of an EEG signal: a new paradigm in analysis of bio-signals -- Epilogue. |
| Record Nr. | UNINA-9910299588003321 |
|
Ghosh Dipak
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||