64 results about "Ventricular premature beats" patented technology

The present invention provides one medicine composition for treating coronary heat disease ventricular premature beat based on the Chinese medicine theory of benefiting vital energy, nourishing Yin, promoting blood circulation, dredging meridian, clearing away heat-evil in the pericardium and tranquilizing. The medicine composition has 12 kinds of Chinese medicinal materials including ginseng, ophiopogon root, dogwood, red sage, common jujube seed, etc. The pharmacological test shows that the composite medicine capsule has obvious effect of preventing mouse's arrhythmia caused by CaCl2 and decreasing the sustained time of rat's arrhythmia caused by aconitine.

The invention discloses a sinus heart rate turbulence trend detection method based on piecewise linearization. The piecewise linearization is adopted for specifically analyzing whether the variation trend of sinus heart rate accelerates first and then decelerates after premature ventricular contractions or not. The method includes the steps: (1) electrocardiosignal preprocessing; (2) self-learning process for first 10 seconds; (3) HRT (heart rate turbulence) sample collection; (4) piecewise trend analysis; and (5) turbulence trend representation based on a cloud model. The variation trend of the sinus heart rate at the RR interval is detected by means of piecewise linearization, and the turbulence trend is further represented by natural language through the cloud model. By the aid of an MATLAB (matrix laboratory) simulation tool, signals in an MIT-BIH heart beat irregularity database are selected for verification, and the variation trend of the sinus heart rate after single-time ventricular premature beat can be detected correctly. In addition, using the exponential smoothing method to predicate QRS complex occurrence positions to facilitate detection of QRS complex, and using a template for judging sinus heart beat is simple to implement and suitable for real-time treatment.

The invention discloses an automatic arrhythmia classifying method based on a discriminant deep belief network, and belongs to the technical field of detecting and classifying of arrhythmia. The network is finely adjusted through back propagation, and automatic classifying of 6 kinds of arrhythmia types of the normal rhythm, the left bundle branch block, the right bundle branch block, the ventricular premature beat, the atrial premature beat and the pacing heartbeat is thus achieved. The automatic arrhythmia classifying method includes the steps that 1, ECG signals are pretreated; 2, a DDBNs model is built; 3, the DDBNs model is trained; 4, the DDBNs model conducts supervision and classification; 5, the ECG signals are sent to a DDBNs network, 256 sampling points x sent to the DDBNs modeland three-dimensional RR interphase characteristics r are normalized, the x is normalized, and a heartbeat normalized sample is obtained, and is sent to a first layer of the network. The automatic arrhythmia classifying method is applied to automatic classifying of arrhythmia.

The invention requests to protect a real-time electrocardiogram classification method based on random projection, and aims to solve the problems of data acquisition and computation and power consumption transmission with which a remote electrocardiogram monitoring system faces and the problem that electrocardiogram cannot be classified in real time. Five types of heartbeat are classified into normal pulsation, atrial premature beat, ventricular premature beat, left bundle branch block and right bundle branch block. The method comprises the following steps: (1) data preprocessing; (2) characteristic extraction: on the basis of a compressed sensing principle, compressing data, calculating an RR interval and an RR weight, and splicing characteristic vectors to form second characteristics; (3) classification: dividing secondary characteristic data into training data and test data, wherein the training data and the test data are independently used for modeling ant testing; and (4) decision classification: carrying out multiple-lead classification result data fusion. The step of data preprocessing comprises the following specific steps: 1) filtering an electrocardiosignal, and removing interference; 2) carrying out waveform detection and segmentation; 3) carrying out data standardization. The electrocardiogram data classification method provided by the invention is accurate in a classification result, and improves data processing capability.

The invention discloses a ventricular premature beat abnormal activation site positioning method based on ECGI (electrocardiographic imaging). According to the method, by establishing a combined collection framework of 64 lead body surface potential data and computed tomography imaging, a personalized heart-trunk model is obtained; by Tikhonov regularization, the ECG (Electrocardiograph) inverse problem is solved; an epicardial potential is reconstructed so as to accurately position a ventricular premature beat abnormal activation site. The ventricular premature beat abnormal activation site positioning method has important actual application value.

The present invention discloses one kind of Chinese medicine preparation for treating arrhythmia and its preparation process and quality control method. The Chinese medicine preparation is dripping pill prepared with five kinds of Chinese medicinal materials, including Dangshen, solomoseal, notoginseng, amber and spikenard. The quality control method for the Chinese medicine preparation includes the thin layer discrimination of notoginseng and spikenard, the checking of the dissolution, and the measurement of notoginseng. The Chinese medicine preparation has the functions of invigorating qi, nourishing yin, eliminating palpitate and restoring pulse. It is used in treating arrhythmia, ventricular premature beat and other cardiac and cerebral vascular diseases, and has the features of simple preparation process, high effective component extracting rate, high curative effect, etc.

The invention provides a pyrolytic diterpenoid alkaloid compound shown as a formula I shown in the specification, or a salt, a stereoisomer or a solvate thereof, and a preparation method of the pyrolytic diterpenoid alkaloid compound. The invention also provides application of the compound or the salt thereof, the stereoisomer thereof or the solvate thereof in preparing medicines for preventing and/or treating ventricular premature beat, ventricular tachycardia and antiarrhythmia, and the clinical prospect is excellent.

The invention provides a pyrolytic diterpenoid alkaloid compound as shown in a formula I which is described in the specification, or a salt, a stereoisomer or a solvate thereof, and a preparation method of the pyrolytic diterpenoid alkaloid compound. The invention also provides application of the compound or the salt, the stereoisomer or the solvate thereof in preparation of medicines used for preventing and/or treating ventricular premature beat, ventricular tachycardia and antiarrhythmia, and excellent clinical prospects are obtained.

The present invention discloses one kind of Chinese medicine preparation for treating arrhythmia and its preparation process and quality control method. The Chinese medicine preparation is oral liquid prepared with five kinds of Chinese medicinal materials, including Dangshen, solomoseal, notoginseng, amber and spikenard. The quality control method for the Chinese medicine preparation includes the thin layer discrimination of notoginseng and spikenard, the checking of relative density and pH value, and the measurement of notoginseng. The Chinese medicine preparation has the functions of invigorating qi, nourishing yin, eliminating palpitate and restoring pulse. It is used in treating arrhythmia, ventricular premature beat and other cardiac and cerebral vascular diseases, and has the features of simple preparation process, fast acting, high curative effect, etc.

The invention discloses a non-invasive cardiac potential reconstruction method based on low-rank and sparse constraints and non-local total variation. Based on low-rank sparse decomposition and non-local total variation constraints, the endocardial and epicardial extracellular potentials are reconstructed. Based on the sparse nature of the cardiac surface potential, the sparse and low-rank constraints are applied to the potential, at the same time, the low-rank part of the potential is observed, many similarities in space and time can be seen, so that the non-local total variation constraint is applied to the low-rank part for restricting the non-local similarity of the heat surface potential, and finally the potential distribution of the endocardium and epicardium on the cardiac surface is reconstructed. The method has very important significance for arrhythmia diagnoses such as the determination of the ventricular premature beat position and time, and the determination of the myocardial position location and boundary.

The invention relates to a ventricular premature beat heartbeat positioning method and device based on an improved convolutional neural network. An obtained electrocardiogram signal is cut into cut sections by a sliding window with a step length of 0.015-0.025 s and a length of 0.4-0.8 s, and a convolutional neural network is trained by the cut sections to form a ventricular premature beat heartbeat judging mode. The length of 0.4-0.8 s just corresponds to the length of one heartbeat period, and influence of R waves can be effectively avoided through the set step length of 0.015-0.025 s, so that judgment precision of ventricular premature beat is met, and the calculation amount is reduced.

The invention relates to a ventricular premature beat intelligent analysis method based on abnormal characteristic values. The method comprises the following steps: 1) signal preprocessing: denoisingan original signal by using a wavelet filter, positioning a QRS composite wave through digital analysis of slope, amplitude and width, and finally segmenting and extracting a single heart beat from acomplete ECG signal by taking an R peak as a center; 2) feature extraction: selecting a QRS composite wave area, an RR interval and a QRS amplitude vector sum as feature parameters for input of a classifier; 3) model training: repeatedly and randomly extracting k samples from the original training sample set in a place-back manner through a self-service method resampling technology to generate a new training sample set, then generating M classification trees according to the self-service sample set to form a random forest, and determining a classification result of new data according to a score formed by the voting amount of the classification trees. The method has the advantages that abnormal signals with abnormal electrocardiosignal centrality are identified accurately, and classification is accurate.

The invention discloses a ventricular premature beat identification method and a ventricular premature beat identification device based on an improved convolution neural network. The method comprisesthe following steps of: pretreating electrocardiosignal; cutting the electrocardiosignal into a plurality of heartbeat sequences, and extracting an RR interval between each heartbeat and a previous heartbeat; calculating a kurtosis value and bias value of each heartbeat sequence; inputting the above items into an improved convolution neural network model, outputting an identification result of a heartbeat to be identified, and judging whether the heartbeat to be identified is a ventricular premature heartbeat or not. The method adopts the improved convolution neural network, comprehensively considers a waveform characteristic of the heartbeat and the relationship between the heartbeat and the previous heartbeat, and automatically judges whether a certain heartbeat is a ventricular premature heartbeat or not, so that the judgment accuracy can be greatly improved. The improved convolution neural network consists of a convolution layer, a pool layer and a full-connection layer, wherein the full-connection layer is connected with specific characteristics of ventricular premature beats and sends the characteristics to a classifier after fusion calculation for automatically judging the ventricular premature beats.

The invention belongs to the medical preparation, in particular to a Chinese herbal preparation- <BI QI WAN> capsules for treating coronary heart disease. The medicine is prepared by Fructus Trichosanthis, Rhizoma Pinelliae, Bulbus Allii Macrostemi and Radix Notoginseng. The invention is used for treating coronary heart disease and angina for 43 cases, acute left heart insufficiency and pneumonedema for 21 cases, acute arrhythmia such as auricular fibrillation, multi-source multi-type ventricular premature beats, ventricular tachycardia, ventricular fibrillation and severe nodal bradyrhythmia for 36 cases, all 100 cases, effective 88 cases and the general effective rate 88 percent.

The invention provides a traditional medicine composition for treating functionality ventricular pre-beat and making method of implanted agent through dispensing raw material 12-45g lily, 9-27g albizia flower, 0. 3-36g magnet, 6-12g Yejiaoteng, 9-18g white peony root, 6-18g red sage root and 3-18g Zhigancao with weight ratio to form. The making method of implanted agent comprises the following steps: preparing traditional medicine extractive powder; preparing based on surgical catgut as carrier through dispensing raw material 10%-40% traditional medicine extractive powder, 10%-30% nanometer ferrosic oxide, 30%-80% alcohol with 50% percentage by weight concentration and 1%-10% surgical catgut with weight ratio to form; preparing based on polylactic acid-glycollic acid copolymer as carrier through dispensing raw material 50%-98% polylactic acid-glycollic acid copolymer(PLGA), 1%-49% traditional medicine extractive powder, 1%-20% nanometer ferrosic oxide with weight ratio to form. The invention has exact curative effect with reliable pharmacology and without toxic-side effect, the implanted agent has four in one effect of needling, drug, magnet therapy and slow release, which has better effect through adopting implanted agent to co-operate medicinal broth according to condition.

The invention discloses an atrial-fibrillationartificial intelligenceidentification method and device containing heterotopicheartbeat judgment. As for a single leadelectrocardiogram with the length larger than 10 s, an atrial-fibrillation automatic identification method containing heterotopicheartbeat correcting is used, and the misdiagnosis rate is reduced. The method includes the steps that RR intervals of electrocardiosignals are extracted, whether heterotopicheartbeat exists or not is judged and corrected, then the RR intervals are counted, and finally, the RR intervals are classified through the neural network. The atrial-fibrillationartificial intelligenceidentification method is simple, the calculated amount is few, and the method is easy to achieve on hardware; compared with a traditional atrial-fibrillationidentification method based on RR intervals, the identification accuracy rate of heterotopicheartbeat is high, the misdiagnosis rate of electrocardiosignals containing heartbeat such as atrial premature beat and ventricular premature beat can be effectively decreased, and the identificationaccuracy rate is increased.

The invention discloses a Chinese medicinal preparation for treating coronary heart diseases, which is prepared from the following raw materials in part by weight: 10 to 20 parts of bupleurum, 10 to 15 parts of Chinese angelica, 10 to 15 parts of safflower, 10 to 20 parts of nutgrass galingale rhizome, 5 to 10 parts of liquoric root, 5 to 10 parts of leech, 25 to 35 parts of dwarf lilyturf tuber, 4 to 10 parts of curcuma aromatica, 10 to 15 parts of cassia twig, 5 to 10 parts of golden thread, 5 to 15 parts of lightyellow sophora root, 6 to 8 parts of figwort root, 4 to 8 parts of thinleaf milkwort root-bark, 5 to 20 parts of costustoot and 10 to 20 parts of epimedium herb. By the Chinese medicinal preparation, 95 patients are treated clinically, wherein the Chinese medicinal preparation is significantly effective for 44 patients, effectual for 35 patients, and ineffective for 16 patients, namely the Chinese medicinal preparation is effective for 79 patients totally, and the total effective rate is 83.1 percent. The Chinese medicinal preparation has the effects of soothing liver, invigorating blood circulation and promoting blood circulation, and has a good curative effect on ventricular premature beat caused by various reasons.

The invention discloses a traditional Chinese herbal medicinal formula for treating frequent ventricular premature beat and a preparation method thereof. The formula is prepared from the following raw materials by weight: 30-50g of safflower, 10-30g of sichuan lovage rhizome, 30-50g of kudzu vine root, 5-30g of fructus evodiae, 10-30g of radix angelicae pubescentis, 10-30g of coptidis rhizome, 10-30g of scutellaria baicalensis, 10-30g of salviae miltiorrhizae, 9-18g of moutan bark, 9-18g of honey, 12-24g of earthworm, 6-12g of codonopsis pilosula, 6-12g of polygonum multiflorum, 6-12g of cornu cervi, and 15-30g of apricot kernel. The traditional Chinese herbal medicinal formula for treating frequent ventricular premature beat is prepared from a plurality of natural traditional Chinese herbal medicines, and has the advantages of remarkable curative effect and no side effect.

The embodiment of the invention discloses a location and recognition method and device of ventricular premature beats. The method includes the following steps that a target electrocardiogram ECG is input into a pre-constructed ventricular premature beat location and recognition model which is obtained on the basis of electrocardiogram samples and convolution neural network training; the portion, corresponding to the origin part of premature beats in the heart, of each electrocardiogram sample is pre-labeled; based on the output result of the ventricular premature beat location and recognitionmodel, the portion, corresponding to the origin part of premature beats in the heart, of a target electrocardiogram is judged. According to the embodiment, the ventricular premature beat location andrecognition model is constructed for identification of the target electrocardiogram, the portion, corresponding to the origin part of premature beats in the heart, of the target electrocardiogram is judged, and the problems are solved that in the prior art, the artificial recognition efficiency is low and not accurate.

The invention discloses a traditional Chinese medicine composition for treating frequent ventricular premature beats. The traditional Chinese medicine composition is prepared from the following raw materials in parts by weight: 9-30 parts of codonopsis pilosula, 6-12 parts of radix ophiopogonis, 2-6 parts of schisandra chinensis, 10-15 parts of radix rehmanniae, 3-10 parts of cassia twigs, 6-15 parts of radix paeoniae alba, 2-10 parts of honey-fried licorice roots, 1-3 parts of amber, 10-15 parts of poria cocos and 6-9 parts of coptis chinensis. The traditional Chinese medicine composition can be used for effectively treating frequent ventricular premature beats, and also has the effects of tonifying qi and nourishing yin for qi-yin deficiency patients. The invention further discloses application of the traditional Chinese medicine composition.

The invention relates to a premature ventricular contraction heartbeat positioning method and device based on an improved convolutional neural network. The method comprises the following steps: acquiring an ECG signal, intercepting the ECG signal by using a sliding window with a step size of 0.015-0.025s and a length of 0.4-0.8s to form an intercepted section, and training a convolutional neural network with the intercepted section to form a ventricular premature beat heartbeat judgment model. The 0.4-0.8s just corresponds to the length of one heartbeat period, and the step size of 0.015-0.025s is set to effectively avoid the influence of R waves so as to meet the judgment precision on ventricular premature beat heartbeat, and to facilitate the reduction of calculation amount.

The invention relates to a new medical application of geniposide, which belongs to the medicine field, and especially relates to an application of geniposide in preparation of medicine for treating arrhythmia. For increasing the medicine selection of the patients with arrhythmia and reducing the toxic and side effect of the chemical medicine in the treatment process, the invention provides the medicine containing the traditional Chinese medicine active components for treating arrhythmia. The medicine takes geniposide as a main active component, which can obviously delay ventricular premature beat time of a mice arrhythmia model. The medicine for treating geniposide has the advantages of definite therapeutic effect and low adverse reaction, and is hopeful to become the novel clinical treatment medicine.

The invention relates to a traditional Chinese medicine for treating ventricular premature beat. The traditional Chinese medicine is characterized by being prepared from the following important raw materials by a conventional method: 9-15g of processed Radix Glycyrrhizae, 10-30g of Radix Codonopsis (Codonopsis pilosula and/or Codonopsis tangshen), 10-30g of Poria cocos, 10-20g of Atractylodes macrocephala, 10-20g of Angelica sinensis, 10-20g of Radix Polygalae (Polygala tenuifolia and/or Polygala sibirica), 15-40g of Os Draconis, 15-40g of Concha Ostreae, 3-9g of Schisandra chinensis fruit, 6-12g of Dimocarpus longan pulp, 6-12g of Aucklandia lappa, 6-12g of Semen Persicae (Prunus persica and/or Prunus davidiana), 9-15g of Carthamus tinctorius flower, 10-20g of Salvia miltiorrhiza, and 9-15g of Radix Puerariae (Pueraria lobata and/or Pueraria thomsonii). The traditional Chinese medicine provided by the invention has effects of supplementing qi, nourishing yin, regulating the flow of qi, smoothing collaterals, relieving anxiety and palpitation, warming and invigorating the heart-yang, promoting blood circulation and dispelling blood stasis, and has the advantages of simple preparation, easy-accessible raw materials, quick action, low cost and high cure rate. Through clinical application and test, the cure rate is 31.25% and the total effective rate is up to 90.62%.