69 results about "Ecg waveforms" patented technology

The invention provides a body-worn monitor featuring a processing system that receives a digital data stream from an ECG system. A cable houses the ECG system at one terminal end, and plugs into the processing system, which is worn on the patient's wrist like a conventional wristwatch. The ECG system features: i) a connecting portion connected to multiple electrodes worn by the patient; ii) a differential amplifier that receives electrical signals from each electrode and process them to generate an analog ECG waveform; iii) an analog-to-digital converter that converts the analog ECG waveform into a digital ECG waveform; and iv) a transceiver that transmits a digital data stream representing the digital ECG waveform (or information calculated from the waveform) through the cable and to the processing system. Different ECG systems, typically featuring three, five, or twelve electrodes, can be interchanged with one another.

A method for inferring disease similarity by similarity retrieval of electrocardiogram time-series, comprising: acquiring user ECG waveforms correspondingly depicting many cardiac cycles of the heart of many users stored in a database; pre-processing each of the user ECG waveforms through pre-processing steps to isolate sets of single cardiac cycles corresponding to different heart-rates detected for each of the user ECG waveforms, each single cardiac cycle within the many cardiac cycles of the heart of many users corresponds to one single heart-rate detected. acquiring patient ECG waveforms depicting multiple cardiac cycles of the heart of a query patient; pre-processing the patient ECG waveforms through pre-processing steps to isolate sets of single cardiac cycles corresponding to different heart-rates detected for each of the patient ECG waveforms of the query patient, each single cardiac cycle within the multiple cardiac cycles of the heart of the query patient corresponds to one single heart-rate detected.

The present invention provides an improved, Internet-based system that seamlessly collects cardiovascular data from a patient before, during, and after a procedure for EP or an ID. During an EP procedure, the system collects information describing the patient's response to PES and the ablation process, ECG waveforms and their various features, HR and other vital signs, HR variability, cardiac arrhythmias, patient demographics, and patient outcomes. Once these data are collected, the system stores them on an Internet-accessible computer system that can deploy a collection of user-selected and custom-developed algorithms. Before and after the procedure, the system also integrates with body-worn and / or programmers that interrogate implanted devices to collect similar data while the patient is either ambulatory, or in a clinic associated with the hospital. A data-collection / storage module, featuring database interface, stores physiological and procedural information measured from the patient.

A system and method of testing a patient for coronary disease in the patient's heart is disclosed that comprises a microprocessor which contains a signal processor and a pattern recognition processor; means to detect the electrical signals of the heart whereby the signals are processed to create a pattern that represents the patient's heart. The pattern may be further processed by repeatedly comparing it to patterns stored within the pattern recognition processor whereby certain coronary diseases such as myocardial ischemia in the patient's heart may be diagnosed. During each heartbeat, at least a million different electrical impulses are collected and the results of the test are displayed on a screen. The results may include the diagnosis, computer generated image of the patient's heart identifying areas of any coronary disease that has been detected and / or a two dimensional waveform representing the electrical impulses of the patient's heart will be shown. In a further embodiment, the system will also generate ECG waveforms. to create vectors which represent the different directions of the muscle activity of the heart.

The invention provides a sensor for measuring both impedance and ECG waveforms that is configured to be worn around a patient's neck. The sensor features 1) an ECG system that includes an analog ECG circuit, in electrical contact with at least two ECG electrodes, that generates an analog ECG waveform; and 2) an impedance system that includes an analog impedance circuit, in electrical contact with at least two (and typically four) impedance electrodes, that generates an analog impedance waveform. Also included in the neck-worn system are a digital processing system featuring a microprocessor, and an analog-to-digital converter. During a measurement, the digital processing system receives and processes the analog ECG and impedance waveforms to measure physiological information from the patient. Finally, a cable that drapes around the patient's neck connects the ECG system, impedance system, and digital processing system.

An ICG control system for improved performance of Impedance Cardiography and improved reporting of the hemodynamic parameters obtained during an Impedance Cardiography (ICG) session. When the ICG control system is used, impedance waveforms, ECG Waveforms, and hemodynamic parameters are recorded continuously for each session. The parameters and / or pictorial representations are stored in a computer memory for recall, and the parameters may be recalled in formats particularly conducive to assessing and managing a patient's hemodynamic status.

The invention also provides an integrated system that combines an ablation system used in the electrophysiology (EP) lab with a novel, body-worn monitor and data-management software system. The body-worn monitor differs from conventional monitors in that it measures stroke volume (SV) and cardiac output (CO) in addition to heart rate (HR) and ECG waveforms. The combined system collects numerical and waveform data from patients before, during, and after an EP procedure, thereby providing a robust data set that can be used for a variety of analytics and reporting purposes. The body-worn monitor can be applied to the patient immediately after the EP procedure, e.g. while they are recovering in a hospital. Once applied, the body-worn monitor measures data in real-time, and transmits them to both an EMR and a software application running on a mobile device, such as a smartphone, tablet, or personal digital assistant.

The invention also provides an integrated system that combines an ablation system used in the electrophysiology (EP) lab with a novel, body-worn monitor and data-management software system. The body-worn monitor differs from conventional monitors in that it measures stroke volume (SV) and cardiac output (CO) in addition to heart rate (HR) and ECG waveforms. The combined system collects numerical and waveform data from patients before, during, and after an EP procedure, thereby providing a robust data set that can be used for a variety of analytics and reporting purposes. The body-worn monitor can be applied to the patient immediately after the EP procedure, e.g. while they are recovering in a hospital. Once applied, the body-worn monitor measures data in real-time, and transmits them to both an EMR and a software application running on a mobile device, such as a smartphone, tablet, or personal digital assistant.

The present invention provides an improved, Internet-based system that seamlessly collects cardiovascular data from a patient before, during, and after a procedure for EP or an ID. During an EP procedure, the system collects information describing the patient's response to PES and the ablation process, ECG waveforms and their various features, HR and other vital signs, HR variability, cardiac arrhythmias, patient demographics, and patient outcomes. Once these data are collected, the system stores them on an Internet-accessible computer system that can deploy a collection of user-selected and custom-developed algorithms. Before and after the procedure, the system also integrates with body-worn and / or programmers that interrogate implanted devices to collect similar data while the patient is either ambulatory, or in a clinic associated with the hospital. A data-collection / storage module, featuring database interface, stores physiological and procedural information measured from the patient.

The present invention provides an improved, Internet-based system that seamlessly collects cardiovascular data from a patient before, during, and after a procedure for EP or an ID. During an EP procedure, the system collects information describing the patient's response to PES and the ablation process, ECG waveforms and their various features, HR and other vital signs, HR variability, cardiac arrhythmias, patient demographics, and patient outcomes. Once these data are collected, the system stores them on an Internet-accessible computer system that can deploy a collection of user-selected and custom-developed algorithms. Before and after the procedure, the system also integrates with body-worn and / or programmers that interrogate implanted devices to collect similar data while the patient is either ambulatory, or in a clinic associated with the hospital. A data-collection / storage module, featuring database interface, stores physiological and procedural information measured from the patient.

A noninvasive system for detecting and processing PCG and ECG waveforms includes an electronic acoustic stethoscope and a server computer. Heart sounds of a patient are measured using an acoustic transducer of a chestpiece of the electronic acoustic stethoscope, the heart sounds are sent to an earpiece of the electronic acoustic stethoscope, and a PCG waveform is created. Heart electrical signals of the patient are measured using at least four electrodes of the chestpiece and an ECG waveform is created. The PCG waveform and / or the ECG waveform are transmitted to the server computer using a wireless communication device of the chestpiece. The PCG waveform is processed for additional PCG information and / or the ECG waveform is processed for additional ECG information using the server computer. Access to the additional PCG information and / or additional ECG information is provided to at least one client device using the server computer.

Physiological monitoring can be provided through a lightweight wearable monitor that includes two components, a flexible extended wear electrode patch and a reusable monitor recorder that removably snaps into a receptacle on the electrode patch. The wearable monitor sits centrally (in the midline) on the patient's chest along the sternum oriented top-to-bottom. The placement of the wearable monitor in a location at the sternal midline, with its unique narrow “hourglass”-like shape, significantly improves the ability of the wearable monitor to cutaneously sense cardiac electrical potential signals, particularly the P-wave and, to a lesser extent, the QRS interval signals indicating ventricular activity in the ECG waveforms. Additionally, the monitor recorder includes an ECG sensing circuit that measures raw cutaneous electrical signals using a driven reference containing power supply noise and system noise to the reference lead, which is critical to preserving the characteristics of low amplitude cardiac action potentials, particularly P-waves.

The invention provides a sensor for measuring both impedance and ECG waveforms that is configured to be worn around a patient's neck. The sensor features 1) an ECG system that includes an analog ECG circuit, in electrical contact with at least two ECG electrodes, that generates an analog ECG waveform; and 2) an impedance system that includes an analog impedance circuit, in electrical contact with at least two (and typically four) impedance electrodes, that generates an analog impedance waveform. Also included in the neck-worn system are a digital processing system featuring a microprocessor, and an analog-to-digital converter. During a measurement, the digital processing system receives and processes the analog ECG and impedance waveforms to measure physiological information from the patient. Finally, a cable that drapes around the patient's neck connects the ECG system, impedance system, and digital processing system.

A method for inferring disease similarity by similarity retrieval of electrocardiogram time-series, comprising: acquiring user ECG waveforms correspondingly depicting many cardiac cycles of the heart of many users stored in a database; pre-processing each of the user ECG waveforms through pre-processing steps to isolate sets of single cardiac cycles corresponding to different heart-rates detected for each of the user ECG waveforms, each single cardiac cycle within the many cardiac cycles of the heart of many users corresponds to one single heart-rate detected. acquiring patient ECG waveforms depicting multiple cardiac cycles of the heart of a query patient; pre-processing the patient ECG waveforms through pre-processing steps to isolate sets of single cardiac cycles corresponding to different heart-rates detected for each of the patient ECG waveforms of the query patient, each single cardiac cycle within the multiple cardiac cycles of the heart of the query patient corresponds to one single heart-rate detected.

The present invention provides an improved, Internet-based system that seamlessly collects cardiovascular data from a patient before, during, and after a procedure for EP or an ID. During an EP procedure, the system collects information describing the patient's response to PES and the ablation process, ECG waveforms and their various features, HR and other vital signs, HR variability, cardiac arrhythmias, patient demographics, and patient outcomes. Once these data are collected, the system stores them on an Internet-accessible computer system that can deploy a collection of user-selected and custom-developed algorithms. Before and after the procedure, the system also integrates with body-worn and / or programmers that interrogate implanted devices to collect similar data while the patient is either ambulatory, or in a clinic associated with the hospital. A data-collection / storage module, featuring database interface, stores physiological and procedural information measured from the patient.

The invention also provides an integrated system that combines an ablation system used in the electrophysiology (EP) lab with a novel, body-worn monitor and data-management software system. The body-worn monitor differs from conventional monitors in that it measures stroke volume (SV) and cardiac output (CO) in addition to heart rate (HR) and ECG waveforms. The combined system collects numerical and waveform data from patients before, during, and after an EP procedure, thereby providing a robust data set that can be used for a variety of analytics and reporting purposes. The body-worn monitor can be applied to the patient immediately after the EP procedure, e.g. while they are recovering in a hospital. Once applied, the body-worn monitor measures data in real-time, and transmits them to both an EMR and a software application running on a mobile device, such as a smartphone, tablet, or personal digital assistant.

The invention provides a sensor for measuring both impedance and ECG waveforms that is configured to be worn around a patient's neck. The sensor features 1) an ECG system that includes an analog ECG circuit, in electrical contact with at least two ECG electrodes, that generates an analog ECG waveform; and 2) an impedance system that includes an analog impedance circuit, in electrical contact with at least two (and typically four) impedance electrodes, that generates an analog impedance waveform. Also included in the neck-worn system are a digital processing system featuring a microprocessor, and an analog-to-digital converter. During a measurement, the digital processing system receives and processes the analog ECG and impedance waveforms to measure physiological information from the patient. Finally, a cable that drapes around the patient's neck connects the ECG system, impedance system, and digital processing system.

The invention also provides an integrated system that combines an ablation system used in the electrophysiology (EP) lab with a novel, body-worn monitor and data-management software system. The body-worn monitor differs from conventional monitors in that it measures stroke volume (SV) and cardiac output (CO) in addition to heart rate (HR) and ECG waveforms. The combined system collects numerical and waveform data from patients before, during, and after an EP procedure, thereby providing a robust data set that can be used for a variety of analytics and reporting purposes. The body-worn monitor can be applied to the patient immediately after the EP procedure, e.g. while they are recovering in a hospital. Once applied, the body-worn monitor measures data in real-time, and transmits them to both an EMR and a software application running on a mobile device, such as a smartphone, tablet, or personal digital assistant.

The invention also provides an integrated system that combines an ablation system used in the electrophysiology (EP) lab with a novel, body-worn monitor and data-management software system. The body-worn monitor differs from conventional monitors in that it measures stroke volume (SV) and cardiac output (CO) in addition to heart rate (HR) and ECG waveforms. The combined system collects numerical and waveform data from patients before, during, and after an EP procedure, thereby providing a robust data set that can be used for a variety of analytics and reporting purposes. The body-worn monitor can be applied to the patient immediately after the EP procedure, e.g. while they are recovering in a hospital. Once applied, the body-worn monitor measures data in real-time, and transmits them to both an EMR and a software application running on a mobile device, such as a smartphone, tablet, or personal digital assistant.

A stand-on physiological sensor (e.g. floormat) measures vital signs and various hemodynamic parameters, including blood pressure and ECG waveforms. The sensor is similar in configuration to a common bathroom scale and includes electrodes that take electrical measurements from a patient's feet to generate bioimpedance waveforms, which are analyzed digitally to extract various other parameters, as well as a cuff-type blood pressure system that takes physical blood pressure measurements at one of the patient's feet. Blood pressure can also be calculated / derived from the bioimpedance waveforms. Measured parameters are transmitted wirelessly to facilitate remote monitoring of the patient for heart failure, chronic heart failure, end-stage renal disease, cardiac arrhythmias, and other degenerative diseases.

The embodiment of the invention discloses an ECG waveform editing and displaying method and device and a computer device. The method includes the steps of obtaining user identification of to-be-displayed ECG waveforms, obtaining ECG waveforms of all heartbeat types corresponding to the user identification, overlapping the ECG waveforms of the same heartbeat type to obtain the overlapped waveform corresponding to the heartbeat type, and displaying the overlapped waveform of each heartbeat type in a first displaying window. In this way, the checking efficiency of the ECG waveforms can be improved to a certain extent, and the ECG classification difficulty of a user is reduced.

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 method and apparatus for analyzing the QT interval characteristics of ECG signal data having a succession of waveforms produced by the beating of the heart. ECG signal data is obtained from a patient. The R-R interval and the QT intervals of the waveforms of the ECG signal data are determined. Waveforms of the ECG signal data having a stable heart rate are selected for use in determining the QT interval characteristics. Preferably, the waveforms selected are those having minimum R-R interval standard deviation and minimum R-R interval dispersion. The QT correction (QTc) is computed from the ECG signal data waveforms selected in the foregoing manner or on the basis of clinician editing. The R-R intervals, the QT intervals, and QTc for the heart beats of the selected waveforms are displayed for analysis and diagnosis purposes. The invention can also be used, in an analogous manner, to obtain and display other cardiac data from the ECG waveforms.

The invention provides a sensor for measuring both impedance and ECG waveforms that is configured to be worn around a patient's neck. The sensor features 1) an ECG system that includes an analog ECG circuit, in electrical contact with at least two ECG electrodes, that generates an analog ECG waveform; and 2) an impedance system that includes an analog impedance circuit, in electrical contact with at least two (and typically four) impedance electrodes, that generates an analog impedance waveform. Also included in the neck-worn system are a digital processing system featuring a microprocessor, and an analog-to-digital converter. During a measurement, the digital processing system receives and processes the analog ECG and impedance waveforms to measure physiological information from the patient. Finally, a cable that drapes around the patient's neck connects the ECG system, impedance system, and digital processing system.

The invention provides a sensor for measuring both impedance and ECG waveforms that is configured to be worn around a patient's neck. The sensor features 1) an ECG system that includes an analog ECG circuit, in electrical contact with at least two ECG electrodes, that generates an analog ECG waveform; and 2) an impedance system that includes an analog impedance circuit, in electrical contact with at least two (and typically four) impedance electrodes, that generates an analog impedance waveform. Also included in the neck-worn system are a digital processing system featuring a microprocessor, and an analog-to-digital converter. During a measurement, the digital processing system receives and processes the analog ECG and impedance waveforms to measure physiological information from the patient. Finally, a cable that drapes around the patient's neck connects the ECG system, impedance system, and digital processing system.

The invention provides a sensor for measuring both impedance and ECG waveforms that is configured to be worn around a patient's neck. The sensor features 1) an ECG system that includes an analog ECG circuit, in electrical contact with at least two ECG electrodes, that generates an analog ECG waveform; and 2) an impedance system that includes an analog impedance circuit, in electrical contact with at least two (and typically four) impedance electrodes, that generates an analog impedance waveform. Also included in the neck-worn system are a digital processing system featuring a microprocessor, and an analog-to-digital converter. During a measurement, the digital processing system receives and processes the analog ECG and impedance waveforms to measure physiological information from the patient. Finally, a cable that drapes around the patient's neck connects the ECG system, impedance system, and digital processing system.

The invention discloses a multi-lead electrocardiogram (ECG) signal composite feature extraction method and a corresponding monitoring system, and relates to the field of ECG signal analysis and detection. The method comprises the following steps: 1, extracting statistical features or morphological statistical features and wavelet energy entropy features of the morphology of single-lead ECG signals; 2, repeating the step 1 to acquire and fuse statistical features or the morphological statistical features and the wavelet energy entropy features of the lead morphology; the system comprises a feature extraction module; the feature extraction module comprises a dynamic link library, a feature extraction unit and a feature fusion unit, and is used for extracting the statistical features or themorphological statistical features and the wavelet energy entropy features of the morphology. The method is used for extracting the statistical features or the morphological statistical features and the wavelet energy entropy features of the morphology of the ECG signals, fully characterizes the local features of the signals, enhances the feature expression ability, and achieves the effects of accurately capturing the small short dynamic changes of the ECG signals and the morphological changes of the complex ECG waveforms as well as accurately identifying the normal state and abnormal state ofthe ECG signals.

An electrocardiogram (ECG) acquisition and viewing system receiving extended ECG recordings and automatically extracting segments with heart arrhythmias allowing overreading cardiologists to quickly analyze the extract segments from the larger data set. The present invention provides an easy to use, lightweight ECG module providing acquisition of 12 lead ECG data and communication with local and remote network devices receiving the ECG data The present invention provides wireless communication (e.g., Bluetooth, near field communication) with local devices so that ECG waveforms may be viewed in real time, allowing lead connections to be corrected and integrity restored before and during data acquisition.

The invention discloses an ECG signal diagnosis method of an ultimate convolutional neural network. The method includes the following steps of S1, a data processing stage, wherein data comes from an MIT / BIH database, and a convolutional neural network of a three-layer structure is constructed; S2, a feature processing stage, wherein the convolutional neural network is utilized to conduct feature extraction on ECG waveforms in the database; S3, a parameter input stage, wherein feature output parameters of the convolutional neural network are input to an ultimate learning machine; S4, a trainingand learning stage, wherein the parameters of the ultimate learning machine are trained, and sample data of the ECG waveforms in the database is subjected to network training; S5, a signal diagnosisstage, wherein ECG signals are diagnosed through the trained ultimate learning machine. The purpose of diagnosing the ECG signals is achieved, the mode of manually monitoring the signals for diagnosing ECG is abandoned, a neural network mode is adopted for signal diagnoses, the effect is great, and the method is very worthy of popularization.