19 results about "Ventricular premature beats" patented technology

This disclosure presents a method for reducing the time required to initiate an alert on a suspected acute myocardial infarction (AMI) and improving the accuracy and reliability of the alert. The method involves acquiring and processing physiological signals, including multi-lead ECG and PPG signals captured using a wrist-worn device equipped with biooptical sensors and biopotential electrodes. These signals are utilized to extract both static and dynamic AMI features, such as ST segment abnormality index, QRS-T angle, the occurrence of bundle branch block, ECG signal quality, reduction in oxygen saturation, the number of ventricular premature beats, the occurrence of ventricular arrhythmias, and PPG signal quality index. These extracted AMI features are then employed as inputs to train a reservoir computing model, specifically an echo state neural network, using individualized data. The model computes an alert score, and if it surpasses a predefined threshold, an alert for suspected AMI is generated.

The application discloses a leading pulse wave extraction method, device and equipment for step blood pressure measurement. The method comprises the following steps: detecting and acquiring a pulse wave when a cuff is at a current pressure step; matching the pulse wave with a plurality of pulse wave templates one by one to obtain a pulse wave template capable of matching the pulse wave, and updating the pulse wave template based on the pulse wave; the number of the pulse wave templates is fixed and the pulse wave templates are used for storing matched pulse wave data; judging a target pulse wave template with a leading pulse wave in the plurality of pulse wave templates according to a preset rule; calculating the amplitude value of the leading pulse wave corresponding to the current pressure step in the target pulse wave template, and detecting a pulse wave of a next pressure step to calculate the amplitude value of the leading pulse wave corresponding to the next pressure step. The application extracts the leading pulse wave of each pressure step in step blood pressure measurement, can effectively avoid the influence of noise interference in blood pressure measurement, and can improve the measurement accuracy of arrhythmia testers such as atrial premature beat and ventricular premature beat.

The application discloses a ventricular premature beat type determination method, device, equipment and medium, and the method comprises the following steps: performing feature wave identification on a periodic waveform in a to-be-identified waveform; if no feature wave exists in the periodic waveform, determining a positive wave peak value and a corresponding positive wave peak time point, and a negative wave peak value and a corresponding negative wave peak time point according to a voltage corresponding to each time point in the periodic waveform; for any time point, if a comparison result of the voltage corresponding to the time point and the positive wave peak value and the negative wave peak value satisfies a first preset condition, and a comparison result of the time point and the positive wave peak time point and the negative wave peak time point satisfies a second preset condition, then the waveform between the time point and the wave peak time point is determined as a target waveform; and according to a position of the target waveform in the periodic waveform, left ventricular premature beat or right ventricular premature beat is determined. The detection and judgment of the ventricular premature beat type are automatically realized, and the detection efficiency is improved.

According to the traditional Chinese medicine health-care preparation with the blood vessel dredging and multi-effect conditioning functions, 50% of traditional Chinese medicines with homology of medicine and food are combined with other traditional Chinese medicines, so that multi-effect conditioning is achieved, toxic and side effects are small, and the traditional Chinese medicine health-care preparation can be taken for a long time. According to the composition of the preparation, the traditional Chinese medicines for promoting blood circulation to remove meridian obstruction and the traditional Chinese medicines for soothing the nerves and tonifying the brain are scientifically combined together to achieve the effect of mutual enhancement. The preparation is a medicinal liquor, and is convenient to use and scientific in preparation process. The preparation has a powerful blood vessel dredging function; the traditional Chinese medicine composition also has the functions of regulating the antioxidant capacity of cells, removing excessive free radicals, prolonging the apoptosis time, recovering neuronal functions, inhibiting the growth of tumor cells, regulating immunity, supplementing activating factors and the like. The traditional Chinese medicine can be used for preventing and treating hypertension, coronary heart disease, arrhythmia (atrial and ventricular premature beat), rheumatic arthritis, bronchial asthma, malignant tumor, depression, insomnia, senile amnesia, white hair and alopecia; the goals of beautifying, health care and life prolonging are achieved.

The invention relates to a traditional Chinese medicine composition for relieving frequent ventricular premature beat, which is prepared from the following medicinal materials in parts by weight: 3-10 parts of rhizoma pinellinae praeparata, 6-12 parts of bighead atractylodes rhizome, 3-10 parts of gastrodia elata, 3-15 parts of immature bitter orange, 5-10 parts of bamboo shavings, 6-10 parts of exocarpium, 3-6 parts of ginger, 3-9 parts of jujube, 6-12 parts of trichosanthes kirilowii maxim, 5-10 parts of allium macrostemon, 6-10 parts of inula flower, 6-10 parts of rhizoma nardostachyos and 5-10 parts of rhizoma acori graminei. , 3-6 parts of Chinese prickly ash, 6-15 parts of rhizoma cyperi, 6-15 parts of rhizoma polygonati and 6-12 parts of polygala tenuifolia. Based on the basic treatment principles of simultaneous regulation of liver and spleen, simultaneous treatment of phlegm and blood stasis and lifting and regulation, three methods of eliminating phlegm and dredging collaterals, soothing the liver and strengthening the spleen, and soothing the nerves and calming palpitation are combined, and the traditional Chinese medicine is designed aiming at the compound pathogenesis of liver depression and spleen deficiency-phlegm stagnation in heart collaterals, adopts pinellia ternate, bighead atractylodes rhizome and gastrodia elata decoction and trichosanthes kirilowii maxim and allium macrostemon decoction for addition and subtraction, and gives consideration to turbid phlegm and qi stagnation, so that the compatibility of cold and heat is more balanced; the accuracy and the safety of treating frequent ventricular premature beat are remarkably improved, and particularly, the method has outstanding advantages in the aspects of adapting to complex pathogenesis and reducing drug interaction risks.

An example medical system includes a plurality of electrodes configured to sense an electrocardiogram of a patient; and processing circuitry configured to: perform feature extraction of the sensed electrocardiogram to extract a plurality of features from the sensed electrocardiogram; converting one or more of the plurality of extracted features into corresponding feature images; applying a machine learning model trained using electrocardiogram data for the plurality of patients to the images of the sensed electrocardiogram and at least the corresponding feature images to determine whether one or more particular heartbeats in the sensed electrocardiogram are indicative of ventricular premature beat (PVC) bounces; and in response to the determination that the one or more particular heartbeats indicate PVC beating, outputting a classification that the one or more particular heartbeats are PVC beating.

The patent discloses a ventricular premature beat detection method based on beat-in feature subwave complex network, first, through electrocardiosignal pretreatment, the collected electrocardiosignal is denoised and QRS wave is detected, the pretreated electrocardiosignal is segmented by heartbeats to obtain heartbeat signals, a single heartbeat is segmented by subwaves and the features of each part are calculated; for the obtained feature sequence, a detrending method is used to eliminate the regional difference of long-term electrocardiosignal features in different states and remove the slight fluctuations, so as to eliminate the influence of slight fluctuations on subsequent sequence coding; symbol dynamics is used for coding, and a beat-in feature subwave complex network is constructed, the network feature parameters of the complex network are calculated, finally, the electrocardiosignal features reflecting the characteristics of electrocardiosignal are extracted, and the classification of electrocardiosignal is realized through a machine learning classification algorithm.

The application discloses a traditional Chinese medicine composition for treating ventricular premature beat and application thereof, and relates to the technical field of traditional Chinese medicine. The traditional Chinese medicine composition is prepared from the following raw medicinal materials in parts by weight: cassia twig 10-30 parts, prepared licorice 5-20 parts, calcined dragon bone 20-50 parts, calcined concha mali 20-50 parts, cassia bark 5-20 parts, salvia miltiorrhiza 10-30 parts, chuanxiong 10-30 parts, bupleurum 5-20 parts, white peony root 5-20 parts, bitter orange 2-20 parts, kuh-seng 10-30 parts, morindae 5-20 parts and taxilli 10-30 parts. The traditional Chinese medicine composition has the effects of invigorating heart yang, removing blood stasis and dredging collaterals, and nourishing heart and calming palpitation, can effectively treat ventricular premature beat, and has great social value for widening the current treatment method of frequent ventricular premature beat and promoting the vigorous development of the cause of traditional Chinese medicine.

The invention relates to an emergency treatment electrocardiogram grading early warning method and system based on edge intelligence, and the method comprises the steps: S1, carrying out the preprocessing and feature extraction of emergency treatment electrocardiogram data collected on an emergency ambulance through wavelet transform, and setting a dynamic threshold value; s2, anomaly detection and graded early warning are carried out on the preprocessed ECG signals through a support vector machine algorithm, and multi-stage emergency response is triggered according to early warning levels; s3, finely classifying the heart rhythm signals through a one-dimensional convolutional neural network, and identifying a plurality of arrhythmia types, including normal, supraventricular premature contraction, ventricular premature beat, fusion waves and unknown types; and S4, performing fusion decision on the multi-dimensional electrocardiogram evaluation indexes through an intelligent contract system based on a block chain, and generating an auditable comprehensive risk score. According to the method, real-time processing, anomaly detection, fine classification and credible decision-making of electrocardiogram data can be realized on the edge side of an emergency ambulance and the like, the dependence on stable connection of a cloud end is reduced, and the early warning timeliness and reliability are improved.

The application discloses a traditional Chinese medicine composition for treating ventricular premature beat and a preparation method thereof. The composition comprises the following raw materials: radix pseudostellariae, schisandra chinensis, rhizoma corydalis, radix notopterygii, polygala, lotus plumule, albizia julibrissin, calcined semen orystalis, gancao, radix scabiosae, and herba artemisiae annuae. The traditional Chinese medicine composition is suitable for patients with ventricular premature beat. The composition can be prepared into any common oral dosage form and health product, has the effects of benefiting qi and nourishing yin, regulating qi and activating blood, calming the nerves and stabilizing palpitation, can effectively improve the symptoms of the patients, and can significantly reduce the number of premature beats, and is especially suitable for the application to ventricular premature beat of qi-yin deficiency and blood stasis.

The invention relates to the technical field of electrocardiogram signal analysis, in particular to an interpretable method and system for a ventricular premature beat auxiliary diagnosis model and a computer readable storage medium. Inputting the preprocessed electrocardiogram image into a ventricular premature beat auxiliary diagnosis model, and outputting a prediction classification result of ventricular premature beat; adopting a layer-by-layer correlation propagation interpretability method to obtain the contribution degree of each waveform feature to a classification result; obtaining statistical characteristics of contribution degrees of the waveform characteristics to classification results, inputting the statistical characteristics into a Bayesian model, and calculating uncertainty of prediction classification results of ventricular premature beat; and constructing a decision tree according to the contribution degree of each waveform feature to the classification result and the uncertainty of the classification result to obtain a target classification result. According to the method, the accuracy of ventricular premature beat diagnosis is improved, the credibility and transparency of the model in clinical application are increased, and doctors can be helped to make more reliable decisions.

The invention provides an electrocardio fuzzy shielding pulse neural network method for ventricular premature beat detection, belongs to the technical field of electrocardio signal processing and intelligent diagnosis of arrhythmia, and solves the technical problems of poor origin lead adaptability, insufficient PVC (polyvinyl chloride) time sequence feature capture and low early recognition rate in 18-lead electrocardio signal ventricular premature beat detection. The method comprises the following steps: firstly, preprocessing 18 lead signals based on a ventricular premature beat data set; then, a learnable fuzzy coefficient module is designed, and four redundant leads irrelevant to ventricular premature beat are dynamically identified and shielded; then, reserving the time sequence characteristics of the ventricular premature beat QRS wave through threshold-time pulse coding; then, constructing a time attention LIF pulse neural network of the focused ventricular premature beat QRS wave; and finally, jointly training the optimization model to realize ventricular premature beat high-precision detection. According to the method, the dynamic time sequence difference of PVC can be efficiently captured, and an efficient auxiliary tool is provided for clinical ventricular premature beat screening and curative effect evaluation.

The invention provides a cross-dimension cross-task domain bio-electricity signal analysis method for migrating computer vision knowledge. The method comprises the following steps: performing feature extraction on a two-dimensional computer vision image and a one-dimensional bio-electricity signal by adopting a parallel encoding-decoding module; maintaining the discrimination capability of the specific features of the domain by reconstructing the loss; effective migration of knowledge from a computer vision domain with rich labels to a bio-electricity signal domain is realized by using a sharing classification module; and constructing a multi-core maximum mean value difference-based measurement module to realize cross-task domain self-adaption. According to the method, an end-to-end cross-dimension cross-task domain knowledge migration framework is provided, high-precision bio-electricity signal analysis under the condition of scarcity of labeled data can be achieved, and the application range of the method covers electrocardiosignal and cardiac beat recognition, ventricular premature beat detection and other bio-electricity signal classification tasks; the method has important application value in the fields of medical artificial intelligence, cardiovascular disease research, cross-domain knowledge migration and the like.

The invention discloses a cardiac ectopic origin point position prediction method and related equipment. The method comprises the following steps: training a cardiac ectopic origin point position prediction model on the basis of a pre-established premature beat standard database; in a training stage, correlation modeling is carried out in a cross-modal attention fusion module based on heart geometric feature representation output by a first deep learning sub-network and a second geometric deep learning sub-network; inputting the twelve-lead ECG time sequence of the target subject into a first deep learning sub-network, and inputting a personalized three-dimensional heart geometric model into a second geometric deep learning sub-network, and obtaining heart ectopic origin point confidence distribution at each candidate position on the surface of the personalized three-dimensional heart geometric model in a cross-modal attention fusion module. The problems that when premature beat of different ectopic origin points such as atrial premature, ventricular premature and border premature is clinically treated at present, a traditional method highly depends on personal experience of cardiologists, time is consumed, and the failure rate is high can be solved.

The invention discloses radix astragali and radix ginseng palpitation relieving granules and a quality detection method thereof. The optimal forming process of the radix astragali and radix ginseng palpitation relieving granules is screened out through a large number of experiments. According to the invention, the optimal thin-layer chromatography development condition is screened out, and qualitative identification research is carried out on salvia miltiorrhiza, radix astragali preparata and ligusticum wallichii in the quality detection method of the radix astragali, radix astragali and radix astragali palpitation relieving granules. According to the present invention, the optimal fluidity composition, the gradient elution mode and other chromatographic conditions are screened through a large number of experiments, the fingerprint detection method with characteristics of high precision, good stability and high accuracy is established, and the contents of the effective components such as calycosin-7-glucoside, ferulic acid, dihydroquercetin, ammonium glycyrrhizinate, nardosinone and the like can be simultaneously determined; and a quality detection method is provided for ensuring the safety and the effectiveness.

The application relates to a self-correlation clustering ectopic heartbeat recognition method, which comprises the following steps: step 1, collecting electrocardio signal data; step 2, data preprocessing; step 3, moving sliding window; step 4, establishing a function; step 5, obtaining atrial premature beat, ventricular premature beat and normal heartbeat correlation data sets; step 6, obtaining the minimum Euclidean distance of vectors in the atrial premature beat, ventricular premature beat and normal heartbeat correlation data sets; step 7, obtaining the maximum Euclidean distance of vectors in the atrial premature beat, ventricular premature beat and normal heartbeat correlation data sets; step 8, obtaining a to-be-detected electrocardio signal segment and performing data preprocessing, constructing a correlation data set phi of the signal segment, and constructing a function of phi and the Euclidean distance in the previous step; and step 9, judging the type of the to-be-detected electrocardio signal according to the function in step 8. The application has the beneficial effect that the position of an R wave and the heartbeat type can be given simultaneously, and the superposition of errors is avoided.

The invention discloses a pharmaceutical composition for treating ventricular premature beat. The pharmaceutical composition is prepared from the following raw materials in parts by weight: 9-20 parts of radix adenophorae, 9-20 parts of radix scrophulariae, 9-20 parts of radix salviae miltiorrhizae, 10-20 parts of radix asparagi, 10-20 parts of radix ophiopogonis, 10-30 parts of semen boitae, 10-30 parts of fried jujube kernel, 20-30 parts of nacre mother of pearl, 20-30 parts of dragon bone, 20-30 parts of oyster, 10-20 parts of polygala tenuifolia and 10-20 parts of radix rehmanniae. The preparation method comprises the following steps: mixing all the raw materials according to 1 g / weight part, adding cold water, soaking for 30 minutes, decocting for three times, and taking 450-750 ml of liquid medicine; the traditional Chinese medicine is taken for 2-3 times within one day; boiling with a strong fire and then continuing to decoct with a slow fire in each decoction; the pharmaceutical composition disclosed by the invention can also be added with medically acceptable auxiliary materials to be prepared into capsules, granules, oral liquid, pills and tablets. 'Three ginseng' and'two winter 'are used as monarch drugs; nacre, fossil fragments and oysters are used as ministerial drugs; the assistant and guide drugs comprise polygala tenuifolia and radix rehmanniae; the composition can improve the atrial structure by inhibiting inflammatory response so as to prevent and treat the occurrence and development of ventricular premature beat.

The invention discloses a medicine for chronic heart failure complicated with electrocardio abnormality, belongs to the technical field of biomedicine, and relates to cardiovascular diseases. The invention discloses a medicine for treating chronic heart failure and sudden cardiac death. The medicine is a small molecule Sal B. The Sal B can be used for inhibiting chronic heart failure and sudden cardiac death; the heart function of chronic heart failure is recovered; ventricular thinning and tissue remodeling combined with chronic heart failure are inhibited; eCG disorder combined with chronic heart failure is inhibited, and the heart rate is stabilized; the ventricular premature beat combined with chronic heart failure is eliminated, and the ventricular fibrillation risk is reduced.

This invention relates to the field of electrocardiogram (ECG) signal analysis technology, and in particular to an interpretable method, system, and computer-readable storage medium for an auxiliary diagnostic model for premature ventricular contractions (PVCs). The method includes: acquiring an ECG image and preprocessing it; inputting the preprocessed ECG image into the PVC auxiliary diagnostic model and outputting the predicted classification result of the PVCs; obtaining the contribution of each waveform feature to the classification result using a layer-by-layer correlation propagation interpretability method; obtaining the statistical characteristics of the contribution of each waveform feature to the classification result and inputting them into a Bayesian model to calculate the uncertainty of the predicted classification result of the PVCs; constructing a decision tree based on the contribution of each waveform feature to the classification result and the uncertainty of the classification result to obtain the target classification result. This invention improves the accuracy of PVC diagnosis and increases the credibility and transparency of the model in clinical applications, helping doctors make more reliable decisions.