[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Chen et al., 2017 - Google Patents

Heartbeat classification using projected and dynamic features of ECG signal

Chen et al., 2017

Document ID
7898676976832463980
Author
Chen S
Hua W
Li Z
Li J
Gao X
Publication year
Publication venue
Biomedical Signal Processing and Control

External Links

Snippet

A novel method for the electrocardiogram (ECG) beat classification according to a combination of projected and dynamic features is presented. Projected features are derived from a random projection matrix, in which each column is normalized and each row is …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34—Computer-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
    • G06F19/345—Medical expert systems, neural networks or other automated diagnosis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G06F19/322—Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0402—Electrocardiography, i.e. ECG
    • A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis

Similar Documents

Publication Publication Date Title
Chen et al. Heartbeat classification using projected and dynamic features of ECG signal
Wang et al. Arrhythmia classification algorithm based on multi-head self-attention mechanism
de Albuquerque et al. Robust automated cardiac arrhythmia detection in ECG beat signals
Zhu et al. Automatic multilabel electrocardiogram diagnosis of heart rhythm or conduction abnormalities with deep learning: a cohort study
Wang et al. A high-precision arrhythmia classification method based on dual fully connected neural network
Raj et al. Cardiac arrhythmia beat classification using DOST and PSO tuned SVM
Huang et al. A new hierarchical method for inter-patient heartbeat classification using random projections and RR intervals
Lai et al. Practical intelligent diagnostic algorithm for wearable 12-lead ECG via self-supervised learning on large-scale dataset
Siuly et al. Discriminating the brain activities for brain–computer interface applications through the optimal allocation-based approach
Leite et al. Heartbeat classification with low computational cost using Hjorth parameters
Jung et al. An arrhythmia classification method in utilizing the weighted KNN and the fitness rule
Jung et al. Detection of PVC by using a wavelet-based statistical ECG monitoring procedure
Li et al. Ventricular ectopic beat detection using a wavelet transform and a convolutional neural network
Wang et al. Three-heartbeat multilead ECG recognition method for arrhythmia classification
Zhang et al. [Retracted] An ECG Heartbeat Classification Method Based on Deep Convolutional Neural Network
Moses et al. A survey of data mining algorithms used in cardiovascular disease diagnosis from multi-lead ECG data
Cai et al. Real‐Time Arrhythmia Classification Algorithm Using Time‐Domain ECG Feature Based on FFNN and CNN
Li et al. Enabling health monitoring as a service in the cloud
Veeravalli et al. Real-time, personalized anomaly detection in streaming data for wearable healthcare devices
Mohebbi et al. Structures of the recurrence plot of heart rate variability signal as a tool for predicting the onset of paroxysmal atrial fibrillation
Hussain et al. Arrhythmia detection by extracting hybrid features based on refined Fuzzy entropy (FuzEn) approach and employing machine learning techniques
Kutluana et al. Classification of cardiac disorders using weighted visibility graph features from ECG signals
Zhang et al. TP-CNN: A Detection Method for atrial fibrillation based on transposed projection signals with compressed sensed ECG
Liu et al. A review of arrhythmia detection based on electrocardiogram with artificial intelligence
Doquire et al. Feature selection for interpatient supervised heart beat classification