Long-term EEG compression for intensive-care settings

IEEE Engineering in Medicine and Biology Magazine

Volumn 20, Issue 5, 2001, Pages 23-29

  Agarwal, Rajeev ^a,c   Gotman, Jean ^a,b  

^a Stellate Systems   (Canada)

^b MCGILL UNIVERSITY   (Canada)

^c Dept of Electrical and Computer Engineering   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CENTRAL NERVOUS SYSTEM FUNCTION; CLASSIFICATION; COMPRESSION; ELECTROCARDIOGRAM; ELECTROENCEPHALOGRAM; EVALUATION; HUMAN; INTENSIVE CARE; NEUROPHYSIOLOGY; NEWBORN INTENSIVE CARE;

BIOMEDICAL ENGINEERING; DATA INTERPRETATION, STATISTICAL; ELECTROENCEPHALOGRAPHY; HUMANS; INTENSIVE CARE; MONITORING, PHYSIOLOGIC; TIME FACTORS;

EID: 0034788238     PISSN: 07395175     EISSN: None     Source Type: Journal    
DOI: 10.1109/51.956816     Document Type: Article

References (20)

1. Electrophysiologic monitoring in the intensive care unit
2. Early detection of vasospasm after subarachnoid hemorrhage using continuous EEG ICU monitoring
3. Neurophysiologic monitoring in the neuroscience intensive care unit
4. Correlation of continuous electroencephalograms with blood flow measurements during carotid endarterectory
5. Evaluation and prognostication in coma
6. Automatic EEG analysis during long-term monitoring in the ICU
7. The EEG in coma
8. Continuous EEG and evoked potential monitoring in the neuroscience intensive care unit
9. Computer-assisted hypnogram generation
10. Continuous EEG monitoring in the neuroscience intensive care unit and emergency departments
11. Automatic adaptive segmentation of clinical EEGs
12. Adaptive segmentation of electroencephalographic data using nonlinear energy operator
13. A nonlinear mapping for data structure analysis
14. Automatic seizure recognition of epileptic seizures in the EEG
15. Computerized EEG pattern classification by adaptive segmentation and probability density function classification. Clinical evaluation
16. EEG analysis based on time domain properties