Greisas et al., 2014 - Google Patents
Detection of Abnormal Cardiac Activity Using Principal Component Analysis–-A Theoretical StudyGreisas et al., 2014
- Document ID
- 970320827725208858
- Author
- Greisas A
- Zafrir Z
- Zlochiver S
- Publication year
- Publication venue
- IEEE Transactions on Biomedical Engineering
External Links
Snippet
Electrogram-guided ablation has been recently developed for allowing better detection and localization of abnormal atrial activity that may be the source of arrhythmogeneity. Nevertheless, no clear indication for the benefit of using electrograms guided ablation over …
- 230000000694 effects 0 title abstract description 73
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
- A61N1/00—Electrotherapy; Circuits therefor
- A61N1/18—Applying electric currents by contact electrodes
- A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
- A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation, e.g. heart pace-makers
- A61N1/362—Heart stimulators
- A61N1/365—Heart stimulators controlled by a physiological parameter, e.g. heart potential
- A61N1/36514—Heart stimulators controlled by a physiological parameter, e.g. heart potential controlled by a physiological quantity other than heart potential, e.g. blood pressure
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
- A61N1/00—Electrotherapy; Circuits therefor
- A61N1/18—Applying electric currents by contact electrodes
- A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
- A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation, e.g. heart pace-makers
- A61N1/362—Heart stimulators
- A61N1/365—Heart stimulators controlled by a physiological parameter, e.g. heart potential
- A61N1/368—Heart stimulators controlled by a physiological parameter, e.g. heart potential comprising more than one electrode co-operating with different heart regions
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
- A61N1/00—Electrotherapy; Circuits therefor
- A61N1/18—Applying electric currents by contact electrodes
- A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
- A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation, e.g. heart pace-makers
- A61N1/362—Heart stimulators
- A61N1/3621—Heart stimulators for treating or preventing abnormally high heart rate
- A61N1/3622—Heart stimulators for treating or preventing abnormally high heart rate comprising two or more electrodes co-operating with different heart regions
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
- A61N1/00—Electrotherapy; Circuits therefor
- A61N1/18—Applying electric currents by contact electrodes
- A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
- A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation, e.g. heart pace-makers
- A61N1/3605—Implantable neurostimulators for stimulating central or peripheral nerve system
- A61N1/36128—Control systems
- A61N1/36146—Control systems specified by the stimulation parameters
- A61N1/36182—Direction of the electrical field, e.g. with sleeve around stimulating electrode
- A61N1/36185—Selection of the electrode configuration
-
- 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
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves
- A61B5/053—Measuring electrical impedance or conductance of a portion of the body
-
- 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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
- A61N1/00—Electrotherapy; Circuits therefor
- A61N1/02—Details
- A61N1/04—Electrodes
-
- 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
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1116—Determining posture transitions
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Tobón et al. | A three-dimensional human atrial model with fiber orientation. Electrograms and arrhythmic activation patterns relationship | |
Grandi et al. | A novel computational model of the human ventricular action potential and Ca transient | |
JP5805204B2 (en) | System for assessing cardiac function | |
Trayanova et al. | How computer simulations of the human heart can improve anti‐arrhythmia therapy | |
US10556113B2 (en) | Patient-specific modeling of ventricular activation pattern using surface ECG-derived vectorcardiogram in bundle branch block | |
US7187973B2 (en) | Congestive heart failure pacing optimization method and device | |
Martinez-Mateu et al. | Factors affecting basket catheter detection of real and phantom rotors in the atria: a computational study | |
Xie et al. | Electrical refractory period restitution and spiral wave reentry in simulated cardiac tissue | |
Roy et al. | Image-based computational evaluation of the effects of atrial wall thickness and fibrosis on re-entrant drivers for atrial fibrillation | |
Krueger et al. | In-silico modeling of atrial repolarization in normal and atrial fibrillation remodeled state | |
Saha et al. | Wavelength and fibrosis affect phase singularity locations during atrial fibrillation | |
US9883813B2 (en) | Focal point identification and mapping | |
Corrado et al. | Personalized models of human atrial electrophysiology derived from endocardial electrograms | |
Jacquemet et al. | Modeling atrial arrhythmias: impact on clinical diagnosis and therapies | |
Lim et al. | Effectiveness of atrial fibrillation rotor ablation is dependent on conduction velocity: an in-silico 3-dimensional modeling study | |
Colman et al. | Correlation between P-wave morphology and origin of atrial focal tachycardia—insights from realistic models of the human atria and torso | |
Alday et al. | A new algorithm to diagnose Atrial ectopic origin from multi lead ECG systems-insights from 3D virtual human Atria and Torso | |
Pagani et al. | A computational study of the electrophysiological substrate in patients suffering from atrial fibrillation | |
Greisas et al. | Detection of Abnormal Cardiac Activity Using Principal Component Analysis–-A Theoretical Study | |
EP3463068A1 (en) | Method and system for predicting heart tissue activation | |
Alcaine et al. | A multi-variate predictability framework to assess invasive cardiac activity and interactions during atrial fibrillation | |
Fitzgerald et al. | Identification of cardiac rhythm features by mathematical analysis of vector fields | |
Lee et al. | A new efficient method for detecting phase singularity in cardiac fibrillation | |
Yun et al. | The relationship among complex fractionated electrograms, wavebreak, phase singularity, and local dominant frequency in fibrillation wave-dynamics: a modeling comparison study | |
Pashakhanloo et al. | Minimal functional clusters predict the probability of reentry in cardiac fibrotic tissue |