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Record Nr. |
UNINA9910454790103321 |
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Titolo |
Overcoming depression [[electronic resource] ] : a cognitive therapy approach : workbook / / Mark Gilson ... [et al.] |
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Pubbl/distr/stampa |
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Oxford ; ; New York, : Oxford University Press, 2009 |
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ISBN |
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0-19-024193-4 |
1-282-11468-9 |
9786612114687 |
0-19-970791-X |
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Edizione |
[2nd ed.] |
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Descrizione fisica |
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1 online resource (209 p.) |
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Collana |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Depression, Mental - Treatment |
Cognitive therapy |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di contenuto |
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Contents; Chapter 1 Overview; Chapter 2 Beginning Questions and Answers; Chapter 3 The Theory and Practice of Cognitive Therapy; Chapter 4 Understanding Your Body: The B of the BEAST; Chapter 5 Understanding the Impact of Emotion: The E of the BEAST; Chapter 6 Taking Action: The A of the BEAST; Chapter 7 Life Situations and Vulnerability: The S of the BEAST; Chapter 8 Thoughts and Depression: The T of the BEAST; Chapter 9 Relapse Prevention; Chapter 10 Final Words of Hope; Appendix of Forms |
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Sommario/riassunto |
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This workbook is designed to help you as you work together with a qualified mental health professional to overcome your depression. The program described will help you develop a set of coping strategies and skills so that you can proactively deal with depression and prevent it from compromising your quality of life. Based on the idea that depression is a ""beast"" to be tamed, the treatment utilizes an acronym to help you understand the goals of treatment. You will work with your therapi |
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2. |
Record Nr. |
UNINA9910743381703321 |
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Titolo |
Multi-Modal EEG Monitoring of Severely Neurologically Ill Patients / / edited by Xuefeng Wang, Feng Li, Suyue Pan |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
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ISBN |
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9789811644924 |
9811644926 |
9789811644931 |
9811644934 |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (360 pages) |
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Collana |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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, |
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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. |
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