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43 results about "12 lead ecg" patented technology

The 12 lead ECG. The 12 lead ECG is made up of the three standard limb leads (I, II and III), the augmented limb leads (aVR, aVL and aVF) and the six precordial leads (V1, V2, V3, V4, V5 and V6).

Method for deriving standard 12-lead electrocardiogram, and monitoring apparatus using the same

ActiveUS20060047212A1Improve accuracyEasily and effectively attainingElectrocardiographySensorsData setLeft anterior axillary line
Four first electrodes are attached on the vicinity of a lower right end of a right clavicle, the vicinity of a lower left end of a left clavicle, the vicinity of a position on a right anterior axillary line at the level of a right lowermost rib, a the vicinity of a position on a left anterior axillary line at the level of a left lowermost rib of a living body, so as to correspond to limb leads of a standard 12-lead electrocardiogram (ECG). Two second electrodes are attached on such positions of the living body that correspond to a lead V2 and a lead V4 of chest leads of the standard 12-lead ECG. A first ECG data set corresponding to leads I and II of the standard 12-lead EGG with the first electrodes. A second ECG data set including the leads V2 and V4 with the second electrodes. An instantaneous electromotive force vector (a heart vector) is calculated based on the first and second ECG data sets, and predetermined first lead vectors of the leads I, II, V2 and V4. A third ECG data set including leads V1, V3, V5 and V6 of the chest leads is calculated based on the heart vector-and predetermined second lead vectors of the leads V1, V3, V5 and V6. A fourth EGG data set corresponding to leads III, aVR, aVL and aVF of the standard 12-lead EGG based on the first ECG data set The standard 12-lead EGG is derived based on the first to fourth ECG data sets.
Owner:NIHON KOHDEN CORP

Atrial fibrillation monitoring method based on ECG signals

The invention discloses an atrial fibrillation monitoring method based on ECG signals, which relates to the technical field of electrocardiogram analysis, the atrial fibrillation monitoring method comprises the following steps: describing electrocardiogram 12 lead ECG original signals on the same canvas, and storing as an ECG signal picture; marking a waveform and an R wave peak in the ECG signalpicture, and training a preset identification model by using a deep convolutional neural network to obtain an R wave identification model; finding an R wave peak according to the R wave position, obtaining a position sequence vector V according to the R wave peak position, and then obtaining a difference vector V1 of the R-R interval; performing marking according to the difference vector V1, if atrial fibrillation is judged, making the atrial fibrillation as 1, otherwise, making the atrial fibrillation as 0, and then obtaining a judgment result set; performing classification training on the result set by using a classifier to obtain an atrial fibrillation recognition model; using the R-wave recognition model and the atrial fibrillation recognition model for recognizing the new electrocardiogram 12-lead ECG original signals, and then monitoring whether atrial fibrillation exists in the electrocardiogram or not. The method has the advantage of being capable of rapidly judging whether atrial fibrillation exists or not.
Owner:中电健康云科技有限公司
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