Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Multi-Modal EEG Monitoring of Severely Neurologically Ill Patients
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Multi-Modal EEG Monitoring of Severely Neurologically Ill Patients/ edited by Xuefeng Wang, Feng Li, Suyue Pan.
other author:
Wang, Xuefeng.
Description:
XIII, 360 p. 266 illus., 258 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Neurology . -
Online resource:
https://doi.org/10.1007/978-981-16-4493-1
ISBN:
9789811644931
Multi-Modal EEG Monitoring of Severely Neurologically Ill Patients
Multi-Modal EEG Monitoring of Severely Neurologically Ill Patients
[electronic resource] /edited by Xuefeng Wang, Feng Li, Suyue Pan. - 1st ed. 2022. - XIII, 360 p. 266 illus., 258 illus. in color.online resource.
Part 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.
This 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.
ISBN: 9789811644931
Standard No.: 10.1007/978-981-16-4493-1doiSubjects--Topical Terms:
1253459
Neurology .
LC Class. No.: RC346-429.2
Dewey Class. No.: 616.8
Multi-Modal EEG Monitoring of Severely Neurologically Ill Patients
LDR
:03471nam a22003975i 4500
001
1090248
003
DE-He213
005
20220502095612.0
007
cr nn 008mamaa
008
221228s2022 si | s |||| 0|eng d
020
$a
9789811644931
$9
978-981-16-4493-1
024
7
$a
10.1007/978-981-16-4493-1
$2
doi
035
$a
978-981-16-4493-1
050
4
$a
RC346-429.2
072
7
$a
MJN
$2
bicssc
072
7
$a
MED056000
$2
bisacsh
072
7
$a
MKJ
$2
thema
082
0 4
$a
616.8
$2
23
245
1 0
$a
Multi-Modal EEG Monitoring of Severely Neurologically Ill Patients
$h
[electronic resource] /
$c
edited by Xuefeng Wang, Feng Li, Suyue Pan.
250
$a
1st ed. 2022.
264
1
$a
Singapore :
$b
Springer Nature Singapore :
$b
Imprint: Springer,
$c
2022.
300
$a
XIII, 360 p. 266 illus., 258 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
Part 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
$a
This 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.
650
0
$a
Neurology .
$3
1253459
650
1 4
$a
Neurology.
$3
593894
700
1
$a
Wang, Xuefeng.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1201365
700
1
$a
Li, Feng.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1071084
700
1
$a
Pan, Suyue.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1397632
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9789811644924
776
0 8
$i
Printed edition:
$z
9789811644948
776
0 8
$i
Printed edition:
$z
9789811644955
856
4 0
$u
https://doi.org/10.1007/978-981-16-4493-1
912
$a
ZDB-2-SME
912
$a
ZDB-2-SXM
950
$a
Medicine (SpringerNature-11650)
950
$a
Medicine (R0) (SpringerNature-43714)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login