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| 003 | ES-MaUEC | ||
| 005 | 20230112082320.0 | ||
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| 007 | cr nn 008mamaa | ||
| 008 | 211023s2022 si a o |||| 0|eng d | ||
| 020 | _a9789811644931 | ||
| 024 | 7 |
_a10.1007/978-981-16-4493-1 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aRC386.6.E43 _b2022 EB |
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| 245 | 0 | 0 |
_aMulti-Modal EEG Monitoring of Severely Neurologically Ill Patients _cedited by Xuefeng Wang, Feng Li, Suyue Pan |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aSingapore _bSpringer International Publishing _c2022 |
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| 300 |
_a1 recurso en línea (XIII, 360 páginas) _b266 ilustraciones, 258 ilustraciones a color |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
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| 505 | 0 | _aPart 1 Electroencephalogram (EEG) Basis and quantitative Electroencephalogram (qEEG) Technology -- 1 Basic theory of EEG -- 2 qEEG monitoring system in severely ill patients -- Part 2 Interpretation and clinical significance of abnormal EEG in severely ill patients -- 3 Common abnormal EEG in neurocrital ill patients -- 4 Abnormal EEG background activity -- 5 Patterns and clinical significance of abnormal sleep EEG -- Part 3 Application of multimodal EEG in severely ill patients -- 6 Application of multimodal EEG in coma patients -- 7 Application of multimodal EEG in HIE -- 8 Application of multimodal EEG in SE -- 9 Clinical application of multimodal EEG in acute ischemic stroke -- 10 Application of multimodal EEG in TBI.-11 Application of multimodal EEG in AE -- 12 Application of multimodal EEG in ICP monitoring -- 13 Application of multimodal EEG in sedation and analgesia -- 14 Application of multimodal EEG in predicting the risk of suicide -- 15 Application of multimodal EEG in the determination of brain death -- 16 Application of the BIS in the ICU -- 17 Application of aEEG in severely ill patients. | |
| 520 | _aThis book provides practical information on applications of multi-modal EEG monitoring in patients with severely neurologically diseases. The First part systematically introduces the modern EEG techniques, and multi-modal EEG monitoring system for severe neurological illness. In the second part, identification of EEG artifacts and interpretation of common abnormal EEG patterns is presented. Accompanying more than 50 typical cases and 200 EEG records, the following chapters discusses EEG's changes and clinical significance in coma, ischemic-hypoxic encephalopathy, status epilepsy, Creutzfeldt-Jakob disease, traumatic brain injury, and other diseases in details. In addition, application of multi-modal EEG in monitoring intracranial pressure and predicting suicide risk is also included. It will be a valuable reference for professionals in neurology, neurosurgery, emergency care, psychiatry, technology specialists of EEG and senior nurses with basic EEG monitoring knowledge. | ||
| 988 | _aSpringer_Medicine_2022 | ||
| 650 | 7 |
_2embne _9139534 _aElectroencefalografía |
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| 650 | 7 |
_2embne _9180031 _aSistema nervioso _xEnfermedades _xDiagnóstico |
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| 776 | 0 | 8 |
_iPrinted edition: _z9789811644924 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811644948 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811644955 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-4493-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b01/2023 _dz _eb _zSI |
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