59 results about "ECG analysis" patented technology

A system and method for monitoring vital signs and capturing data from a patient remotely using radiotelemetry techniques. The system is characterized by a cordless, disposable sensor band with sensors form measuring full waveform ECG, full waveform respiration, skin temperature, and motion, and transmission circuitry for the detection and transmission of vital signs data of the patient. A small signal transfer unit that can either be worn by the patient, e.g., on his or her belt, or positioned nearby receives data from the sensor band, which it then forwards by e.g., radio transmission to a base station that can be located up to 60 meters away. The base station receives data transmissions from the signal transfer unit and is designed to connect to conventional phone lines for transferring the collected data to a remote monitoring station. The base station may also capture additional clinical data, such as blood pressure data, and to perform data checks. Patient safety is enhanced by the ability of the base station to compare clinical data, e.g., ECG, against given profiles and to mark events when appropriate or when the base station is programmed to do so. Such events are indicated to the physician and could be indicated to the patient by reverse transmission to the signal transfer unit. A remote monitoring station allows the presentation and review of data (including events) forwarded by the sensor band. ECG analysis software and a user-friendly graphical user interface are provided to remotely analyze the transmitted data and to permit system maintenance and upkeep. The system of the invention has useful application to the collection of patient clinical data during drug trials and medical testing for regulatory approvals as well as management of patients with chronic diseases.

An AED being powered by 120 / 240 VAC electrical power alone, being powered by external DC power alone, or any in combination with or without internal-integral battery power, and further an AED access service business method for sales of access to AEDs. The inventive AED, in addition to the defibrillator circuitry comprises a long, tangle free power access cord to be plugged into an external source of AC or DC power and optionally, additional sets of body surface and alternative electrodes positioned in the esophagus and / or heart. The AED has additional advanced capabilities including the ability to deliver rapid sequential shocks through one or more sets of patient electrodes, and the optional mode of shock delivery whereby the shock is delayed while the AED continues to analyze the patients ECG waveform and delays the defibrillation shock or sequence of shocks until the ECG analysis indicates conditions are optimum for successful defibrillation.

A system and method for monitoring health parameters and capturing data from a subject. The system is characterized by a cordless, disposable sensor band with sensors for measuring full waveform ECG, full waveform respiration, skin temperature, and motion, and a connector which accepts a memory card or a smart card for storage of the measured data. After a predetermined period of time, such as when the sensor band is removed, the memory card or smart card is removed and inserted into a monitoring device which reads the stored health parameter data of the subject. The monitoring device includes a base station that includes a memory / smart card reader and is connected to conventional phone lines for transferring the collected data to a remote monitoring station. The base station may also capture additional clinical data, such as blood pressure data, and to perform data checks. Subject safety is enhanced by the ability of the base station to compare clinical data, e.g. ECG, against given profiles and to mark events when appropriate or when the base station is programmed to do so. The remote monitoring station allows the presentation and review of data (including events) forwarded by the sensor band. ECG analysis software and a user-friendly graphical user interface are provided to remotely analyze the transmitted data and to permit system maintenance and upkeep. In alternative embodiments, a smart card includes the sensor band's electronics and / or signal transmission circuitry in conjunction with a portable data logger so that the electronics may be reused from one disposable sensor band to the next without limiting the patient's range of movement. The system of the invention has useful application to the collection of subject clinical data during drug trials and medical testing for regulatory approvals as well as management of subjects with chronic diseases.

System comprised of a medical device and method for analyzing physiological and health data and representing the most significant parameters at different levels of detail which are understandable to a lay person and a medical professional. Low, intermediate and high-resolution scales can exchange information between each other for improving the analyses; the scales can be defined according to the corresponding software and hardware resources. A low-resolution Scale I represents a small number of primary elements such as intervals between the heart beats, duration of electrocardiographic PQ, QRS, and QT-intervals, amplitudes of P-, Q-, R-, S-, and T-waves. This real-time analysis is implemented in a portable device that requires minimum computational resources. The set of primary elements and their search criteria can be adjusted using intermediate or high-resolution levels. At the intermediate-resolution Scale II, serial changes in each of the said elements can be determined using a mathematical decomposition into series of basis functions and their coefficients. This scale can be implemented using a specialized processor or a computer organizer. At the high-resolution Scale III, combined serial changes in all primary elements can be determined to provide complete information about the dynamics of the signal. This scale can be implemented using a powerful processor, a network of computers or the Internet. The system can be used for personal or group self-evaluation, emergency or routine ECG analysis, or continuous event, stress-test or bed-side monitoring.

In a multi-tier patient monitoring data analysis system, an algorithm server is positioned as a middle tier between an acquisition device, such as a cardiograph or patient monitor that can be seen as a lower tier, and a storage device for a database, such as that of a central computer for a hospital or clinic that can be seen as an upper tier. The algorithm server gathers current data from the real time acquisition device and obtains previously stored ECG signal data from the database. The algorithm server contains ECG analysis algorithm(s) and runs one or more algorithms using the current and previously acquired ECG signal data. Analysis algorithms may also be run on the acquisition device. The system provides the rapid, extensive, and thorough ECG analysis that is critical to patient welfare.

The present invention provides a device and method for filtering impulsive noise and channel switching noise at ADC in an ECG device with multiplexed ESCs. The filtering is based on an implementation of Burst Sampling technique also a method for correcting errors in derived leads caused by time delays due to sequential sampling of different ECG signals is also provided. Real time digital FIR filters are used for removing other types of noise in ECG signals. The ECG device is compact and light weight and includes features of self calibration, clip detection and drawing of power from USB port of a PC, batteries or an external power source. The ECG monitoring device of the present invention measures real time ECG signals with automated data recording, data storage and retrieval, data transmission / transfer to an external system, along with parameter extraction for ECG analysis in an efficient manner for quick and reliable ECG measurement, in an extremely cost effective manner.

An analysis method of electrocardiogram (ECG) and the device thereof are provided. The method diagnoses a subject by non-invasive method to see whether the subject is at high risk of high mountain disease (HMD). The ECG analysis method comprises: first, detecting the ECG of the subject; transforming the ECG to obtain a plurality of heart rate variability (HRV) parameters; analyzing the HRV parameters and outputting an analyzed result.

The invention provides an ECG (electrocardiogram) diagnosis system which comprises an ECG acquisition system and an ECG analysis and diagnosis system that are connected with each other, wherein the ECG analysis and diagnosis system comprises a DLL (dynamic link library) system, an ECG feature extraction module, and an ECG feature statistical analysis module; and the ECG feature statistical analysis module comprises a plurality of analysis units corresponding to different ECG features; doctors choose the analysis units according to conditions of patients; the ECG feature extraction module takes the corresponding ECG features as ECG feature extraction objects, calls a corresponding dynamic database of the DLL system, to extract the ECG features from ECG data and transmits the ECG features to the ECG feature statistical analysis module; and the ECG feature statistical analysis module conducts statistical analysis on the ECG features for the doctors for diagnosis. The ECG diagnosis system facilitates the quick diagnosis of the doctors, the working efficiency of the doctors is improved, the interaction among the different ECG features is avoided, and the accuracy rate of the analysis is increased. The invention further provides an operating method of the ECG diagnosis system.

Devices and methods are described that provide improved diagnosis from the processing of physiological data. The methods include use of transforms prior to submitting the data to a multiple level neural network. In one embodiment for ECG analysis, a template is used to subtract data that is not pertinent to the diagnosis and then a Fourier transform is applied to the time series data. Examples are shown with applications to electrocardiogram data, but the methods taught are applicable to many types of physiological data.

Medical devices, software and methods are provided, for making a decision as to whether to administer electric shock therapy to a patient. The decision is made with respect to ECG data that is discounted at least partially, and sometimes even completely, if it occurs during a transition between chest compression group and a pause for ventilation.

A diagnostic medical device (900) is described which incorporates an improved ECG analysis algorithm (600, 800) that identifies an arrhythmia treatable by a defibrillation shock, wherein the identification can occur even in the presence of underlying CPR artifact. The analysis algorithm allows for a shorter interval between the application of CPR compressions and the delivery of electrotherapy, and thus increases the likelihood of successful resuscitation. The medical device may also include a defibrillating electrotherapy circuit (920).

An ECG system identifies and annotates cardiac electrophysiological signals in an ECG waveform from harmonic waveforms. Electrical impulses are received from a beating heart. The electrical impulses are converted to an ECG waveform. The ECG waveform is converted to a frequency domain waveform, which, in turn, is separated into two or more different frequency domain waveforms, which, in turn, are converted into a plurality of time domain cardiac electrophysiological subwaveforms and discontinuity points between these subwaveforms. The plurality of subwaveforms and discontinuity points are compared to a database of subwaveforms and discontinuity points for normal and abnormal patients. At least one subwaveform or one or more discontinuity points are identified as a normal or abnormal electrophysiological signal of the ECG waveform from the comparison. The ECG waveform is displayed along with one or more markers at a location of the at least one subwaveform or one or more discontinuity points.

The invention belongs to the technical field of electrocardiogram analysis, in particular to a method and device for analyzing electrocardiogram waveform, a terminal and a computer-readable storage medium. The method comprises the following steps: monitoring a time-selected event triggered by a user in an electrocardiogram waveform display interface, wherein the ECG waveform display interface comprises a plurality of ECG display interfaces, and the plurality of ECG display interfaces display different ECG indications, and the ECG indications comprise a cardiac beat interval map and / or a cardiac beat waveform map; and determining a target time window selected by a user according to the time-selected event monitored; the time window displayed in the electrocardiogram display interface is adjusted to be the target time window. The invention improves the efficiency of ECG waveform analysis, and improves the universality of the ECG analysis system.

Devices and methods are described that provide improved diagnosis from the processing of physiological data. The methods include use of transforms prior to submitting the data to a multiple level neural network. In one embodiment for ECG analysis, a template is used to subtract data that is not pertinent to the diagnosis and then a Fourier transform is applied to the time series data. Examples are shown with applications to electrocardiogram data, but the methods taught are applicable to many types of physiological data.

Embodiments of the present invention provide an image-based ECG analysis method and apparatus. The method comprises: receiving from a client a request for acquiring a designated ECG waveform template; acquiring from prestored ECG data ECG sampling data corresponding to a plurality of ECG waveforms included in the ECG waveform template; generating the ECG sampling data into a first ECG waveform image according to a predetermined rule; and sending the first ECG waveform image to the client. The image-based ECG analysis method and apparatus provided in the embodiments of the present invention can separate display of the ECG data from analysis of the ECG data, implement long-term data collection and analysis, and hence achieve more convenient and flexible ECG analysis.

A defibrillator and method for using a defibrillator which adopts an ECG analysis algorithm that can detect a cardiac arrhythmia in the presence of noise artifact induced by cardio pulmonary resuscitation (CPR) compressions. The apparatus and method offers guidance throughout a cardiac rescue protocol involving both defibrillation shocks and CPR that improves the effectiveness of the rescue, resulting in more CPR "hands-on" time, better treatment of refibrillation, and reduced transition times between CPR and electrotherapy.

The invention elates to an ECG analysis system and a device and particularly relates to an ECG automatic diagnosis system and a device for cardiac premature beat. In order to solve the problem that the accuracy of automatic diagnosis and analysis of premature beats still needs to be improved. The system of the invention comprises an ECG signal coarsening module, which is used for constructing thecollected ECG signal into an ECG signal time series, and coarsening the ECG signal time series according to a set time scale factor tau; a signal sample entropy module used for calculating the sampleentropy of each group of coarse-grained ECG signal time series and extracting the feature vector; a classifier module which resamples the eigenvector sample set obtained by the signal sample entropy module, obtains resampled samples, and constitutes a random forest classifier. The system and device are used for ECG analysis.

The invention discloses a single-guided heart stick data intelligent diagnosis cloud calculation system and a processing method thereof. The system comprises a client acquisition module, a storage service module, a message queue service module and a calculation service module, wherein the client acquisition module is used for acquiring long-term dynamic electrocardiogram (EEG) data of a single-guided heart stick, uploading the data to the storage service module and downloading required data from the storage service module, the storage service module is used for storing the long-term dynamic ECG data and the ECG analysis report, the message queue service module is used for realizing message transmission and function decoupling, the calculation service module is used for providing hardware resources required for calculation, an ECG scatter plot is drawn based on the long-term dynamic electrocardiogram data of the single-guided heart stick, an AI model is utilized to carry out artificialintelligence diagnosis of the ECG scatter plot, the classification result of the ECG scatter plot is calculated, and the ECG analysis report is formed. The system is advantaged in that on the basis ofstorage service and calculation service of the cloud service architecture, the analysis speed of the dynamic ECG and diagnosis accuracy are effectively improved.

The invention provides a wearable electrocardiac information monitoring system and method. The wearable electrocardiac information monitoring system comprises wearable equipment, a mobile phone terminal and a server, wherein the wearable equipment is arranged to be wrist type electrocardio recording equipment to be worn on the wrist of a human body so as to collect the electrocardio data information of the human body and obtain electrocardiograph data; the mobile phone terminal realizes data exchange with the wearable equipment through bluetooth to receive the human body electrocardio data information of the wearable equipment and realize data synchronization, and the human body electrocardio data information obtained by synchronization is uploaded to the server by the mobile phone terminal; and the server adopts an ECG analysis system for data analysis, and feeds the analysis result back to the mobile phone terminal to generate a complete electrocardiograph report, and the user examines the electrocardiograph report by the mobile phone terminal. The electrocardiac information monitoring system realizes collection of electrocardio signals, and is simple to use, good in real-time capability, broad in application scenes and good in monitoring effect, and people feel comfortable when wearing the electrocardiac information monitoring system.

A method of processing images for interventional imaging, wherein a region of interest is visualized, is provided. The method comprises acquiring a series of 2D images of the region of interest in a patient during at least one respiratory phase, acquiring an electrocardiographic signal which is synchronized with the acquisition of the series of 2D images, processing the electrocardiographic signal to estimate at least one deformation phase of the region of interest induced by the patient's respiratory movement, and registering the different successive 2D images in relation to the estimated deformation phase.

The invention relates to the field of monitoring of abnormal performance of student preventive examination, in particular to portable monitoring equipment for abnormal performance of preventive examination based on ECG analysis. The equipment comprises an electrocardiogram collection assembly used for collecting electrocardiogram signals and transmitting the signals, an electrocardiogram display and excitation assembly used for receiving, preprocessing and analyzing the electrocardiogram signals, and a cloud background analysis and processing terminal used for carrying out algorithm processing, analysis and storage on the electrocardiogram signals. The electrocardiogram collecting assembly comprises an electrocardiogram collecting patch used for making contact with a human body and collecting electrocardiogram signals, an ECG chip used for receiving the electrocardiogram signals and conducting recognition processing, a signal transmission module used for transmitting the electrocardiogram signals, and flexible power supply equipment used for supplying power to the electrocardiogram collecting assembly. The equipment is simple in structure and convenient to operate, ECG signal monitoring and data feedback excitation adjustment are achieved, monitoring data are more accurate and representative, and the practicability and high efficiency of the ECG signal monitoring device in use are greatly improved.

A defibrillator (AED) using an ECG analysis model or algorithm which can function in two different modes. The ECG analysis model is particularly suited for analysis during periods of CPR. Both modes of operation reach a shock decision in essentially the same way, where one or more ECG data segments indicate a shockable cardiac condition. In one mode of operation, the shock decision is irreversibleonce made. In another mode of operation, the shock decision is reversible if one or more subsequent ECG data segments indicate a no-shock decision. Improved specificity of the model is obtained without undue degradation of sensitivity to shockable ECG.

The system of the present application includes computerized diagnostic ECG that is tailored for the EMR. The system and method of the present application provides several new approaches to the computerized ECG based on information available from the EMR through an EMR portal. Some of these information items include: Test indication and reason for performing the ECG, previous ECGs as a measure of the patient's "normal" baseline; electrolytes, and drugs known to cause cardiac toxicity / prolonged QT. Based on these inputs, the computerized ECG analysis will behave differently, including the formation of reports, the ancillary information supplied with the ECG and the interpretation itself.

The invention discloses a long-distance monitoring and diagnosis system and a processing method for single-guide heart paste data. The system includes a collection terminal, a client and a server; The terminal is used to preprocess the obtained long-term dynamic ECG data, and send the preprocessed ECG signal data to the server, and display the ECG analysis report received from the server to the user; the server: for Draw the ECG scatter diagram according to the obtained ECG signal data, input the ECG scatter diagram to the convolutional neural network model, calculate the classification results of the ECG scatter diagram, form an ECG analysis report and send it to the client. The present invention uses the convolutional neural network model to analyze the collected user's electrocardiogram data on the scatter diagram drawn by the user's electrocardiogram data, which effectively improves the analysis speed of dynamic electrocardiogram and improves the accuracy of diagnosis, and saves the time and cost of electrocardiographic diagnosis physicians. time and reduce the misdiagnosis rate.

A system and method for receiving a request for a test to be performed on a patient, retrieving information about the patient, receiving further information about the test after the test is performed and comparing the information to the further information. In addition, a system having an input device for receiving a request for a test to be performed on a patient and a management system configured to retrieve information corresponding to the patient, combine the received request and the retrieved information into a modified request, and forward the modified request to a device performing the test.