[go: up one dir, main page]

Liu, 2005 - Google Patents

Online automatic epileptic seizure detection from electroencephalogram (EEG)

Liu, 2005

Document ID
3701583610770337875
Author
Liu H
Publication year

External Links

Snippet

ONLINE AUTOMATIC EPILEPTIC SEIZURE DETECTION FROM ELECTROENCEPHALOGRAM (EEG) Page 1 ONLINE AUTOMATIC EPILEPTIC SEIZURE DETECTION FROM ELECTROENCEPHALOGRAM (EEG) By HUI LIU A DISSERTATION …
Continue reading at search.proquest.com (other versions)

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7253Details of waveform analysis characterised by using transforms
    • A61B5/726Details of waveform analysis characterised by using transforms using Wavelet transforms
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0402Electrocardiography, i.e. ECG
    • A61B5/0452Detecting specific parameters of the electrocardiograph cycle
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4806Sleep evaluation
    • A61B5/4818Sleep apnoea
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0476Electroencephalography
    • A61B5/048Detecting the frequency distribution of signals
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/40Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4076Diagnosing or monitoring particular conditions of the nervous system
    • A61B5/4094Diagnosing or monitoring seizure diseases, e.g. epilepsy
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7203Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0488Electromyography
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345Medical expert systems, neural networks or other automated diagnosis
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/16Devices for psychotechnics; Testing reaction times; Devices for evaluating the psychological state
    • A61B5/165Evaluating the state of mind, e.g. depression, anxiety

Similar Documents

Publication Publication Date Title
Fan et al. Detecting abnormal pattern of epileptic seizures via temporal synchronization of EEG signals
Wilson et al. Seizure detection: evaluation of the Reveal algorithm
Giannakakis et al. Methods for seizure detection and prediction: an overview
Ocak Optimal classification of epileptic seizures in EEG using wavelet analysis and genetic algorithm
Sharmila Epilepsy detection from EEG signals: a review
Kumari et al. Seizure detection in EEG using time frequency analysis and SVM
Wang et al. Extracting and selecting distinctive EEG features for efficient epileptic seizure prediction
Niederhauser et al. Detection of seizure precursors from depth-EEG using a sign periodogram transform
CN110432898A (en) A kind of epileptic attack eeg signal classification system based on Nonlinear Dynamical Characteristics
Bao et al. A new approach to automated epileptic diagnosis using EEG and probabilistic neural network
Tzimourta et al. Wavelet based classification of epileptic seizures in EEG signals
Bao et al. Automated epilepsy diagnosis using interictal scalp EEG
Sun et al. Automatic Epileptic Seizure Detection Using PSO‐Based Feature Selection and Multilevel Spectral Analysis for EEG Signals
Sriraam et al. Multichannel EEG based inter-ictal seizures detection using Teager energy with backpropagation neural network classifier
Wang et al. Delving into α-stable distribution in noise suppression for seizure detection from scalp EEG
De Moraes et al. Automated Detection of Interictal Spikes in EEG: A literature review
Ranjan et al. A machine learning framework for automatic diagnosis of schizophrenia using EEG signals
Nanda et al. A quantitative classification of essential and Parkinson's tremor using wavelet transform and artificial neural network on sEMG and accelerometer signals
Ansari et al. A review on automated detection of non-convulsive seizures using eeg
Ramya et al. Evaluation of wavelet transformed features on detection of epileptic seizures using 2D Scalogram images of EEG signals
Brignol et al. EEG-based automatic sleep-wake classification in humans using short and standard epoch lengths
Mohan et al. Automatic epileptic seizure prediction in scalp EEG
Shayeste et al. Heterogeneous recurrence analysis of imaged-EEG for spatio-temporal epileptic seizure detection
Alyas et al. A Comparative Analysis of Classifier Performance for Epileptic Seizure Detection Using EEG Signals.
Romaissa et al. Epileptic seizure detection from imbalanced EEG signal