000 | 03070nam a22005415i 4500 | ||
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001 | 978-3-319-20049-1 | ||
003 | DE-He213 | ||
005 | 20200421112228.0 | ||
007 | cr nn 008mamaa | ||
008 | 150630s2015 gw | s |||| 0|eng d | ||
020 |
_a9783319200491 _9978-3-319-20049-1 |
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024 | 7 |
_a10.1007/978-3-319-20049-1 _2doi |
|
050 | 4 | _aR856-857 | |
072 | 7 |
_aMQW _2bicssc |
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072 | 7 |
_aTEC009000 _2bisacsh |
|
082 | 0 | 4 |
_a610.28 _223 |
245 | 1 | 0 |
_aCyberphysical Systems for Epilepsy and Related Brain Disorders _h[electronic resource] : _bMulti-parametric Monitoring and Analysis for Diagnosis and Optimal Disease Management / _cedited by Nikolaos S. Voros, Christos P. Antonopoulos. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015. |
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300 |
_aX, 279 p. 74 illus., 65 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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505 | 0 | _aIntroduction to ARMOR Project -- Introduction to Epilepsy and Related Brain Disorders -- Part I Epilepsy Medical Background -- Sleep Features and Underlying Mechanisms Related to Epilepsy and Its Long Term Monitoring -- Source-estimation from Non-invasive Recordings of Brain Electrical Activity in Sleep and Epilepsy -- Current Practices in Epilepsy Monitoring; Future Prospects and the ARMOR Challenge -- Data Management Processes -- System Architecture. | |
520 | _aThis book introduces a new cyberphysical system that combines clinical and basic neuroscience research with advanced data analysis and medical management tools for developing novel applications for the management of epilepsy. The authors describe the algorithms and architectures needed to provide ambulatory, diagnostic and long-term monitoring services, through multi parametric data collection. Readers will see how to achieve in-hospital quality standards, addressing conventional "routine" clinic-based service purposes, at reduced cost, enhanced capability, and increased geographical availability. The cyberphysical system described in this book is flexible, can be optimized for each patient, and is demonstrated in several case studies. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aNeurosciences. | |
650 | 0 | _aHealth informatics. | |
650 | 0 | _aBiometrics (Biology). | |
650 | 0 | _aElectronic circuits. | |
650 | 0 | _aBiomedical engineering. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aBiomedical Engineering. |
650 | 2 | 4 | _aSignal, Image and Speech Processing. |
650 | 2 | 4 | _aCircuits and Systems. |
650 | 2 | 4 | _aNeurosciences. |
650 | 2 | 4 | _aBiometrics. |
650 | 2 | 4 | _aHealth Informatics. |
700 | 1 |
_aVoros, Nikolaos S. _eeditor. |
|
700 | 1 |
_aAntonopoulos, Christos P. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783319200484 |
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-20049-1 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c57784 _d57784 |