548 results about "Electrocardiographs" patented technology

A handheld ultrasound instrument is disclosed having enhanced diagnostic modes including pulse/continuous wave Doppler, time-motion analysis, spectral analysis and tissue harmonic imaging. An external electrocardiograph (ECG) recording unit is also disclosed. The ECG unit is adaptable to be used with the handheld ultrasound instrument to provide for ECG monitoring while performing an ultrasound scan in B-mode, Doppler, color Doppler, M-mode, and CW/PW mode. The enhanced handheld ultrasound instrument further includes a security mechanism allowing any combination of the diagnostic modes to be enabled by the manufacturer, and later to enable or disable any one or group of the diagnostic modes. The invention also discloses a method for a manufacturer to maintain a database of handheld ultrasound instrument capabilities after the instruments enter the stream of commerce.

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.

A flexible multiple electrode assembly includes at least one fixed electrode; at least one extendible electrode; and electrically conductive interconnections coupling the at least one fixed electrode and the at least one extendible electrode to a common connector. The at least one extendible electrode is adapted to be physically separable from the at least one fixed electrode while remaining electrically coupled to the common connector. In one embodiment, an array of fixed and extendible electrodes is configured for the acquisition of electrical pulses from a heart for transmission to an electrocardiograph (EKG or ECG) device.

A method and system for wireless ECG monitoring is provided. An electrode connector, transmitter and receiver operate with existing electrodes and ECG monitors. The electrode connector includes connectors for attaching to disposable or reusable single electrodes. The transmitter transmits the signals from the electrodes to the receiver. The receiver passes the electrode signals to the ECG monitor for processing. ECG monitors used with an electrical conductor, for example wire connections to electrodes, are connected with the receiver, avoiding the purchase of a new monitor. Any legacy ECG monitor, including different ECG monitors, connects with the receiver using the ECG monitor's lead-wires. The ECG monitor operates as if directly connected to the electrodes without the problems discussed above associated with wires running from the ECG monitor to the patient.

The invention discloses an automatic diagnosis method for electrocardiographic abnormality and relates to the technical field of automatic diagnosis of electrocardiographic abnormality. The learning capacity of an RNN neural network to a time sequence and the learning capability of CNN to spatial features are combined to learn features of the electrocardiographic biological signal, and abnormal electrocardiographs of different types are automatically characterized. Then, a deep neural network based classifier is constructed, which is trained using an electrocardiograph with type annotations to improve the accuracy of classification, and automatic classification of different arrhythmia types is achieved. According to the invention, the process of manually extracting features is avoided; then, time sequence features and spatial features of the electrocardiographs are learned using RNN and CNN to form the classifier, and the classifier is trained through supervised learning so that the classifier can automatically diagnose abnormal electrocardiographs. As a result, the accuracy of automatic diagnosis and classification of electrocardiographic abnormality is improved.

In a hemodiafiltration apparatus, a membrane device (2) comprises a blood chamber (3) and a fluid chamber (4) separated by a semipermeable membrane (5). A grounding device (17) is connected to the discharge line by means of a tubular connector (16) made of an electrically-conductive plastic material. The grounding device can disconnect the grounding connection if the leakage current measured on a patient (1) connected to the apparatus exceeds a predetermined value. The apparatus can be classified as Cardiac Floating and, at the same time, causes no disturbances to an electrocardiograph connected to the patient.

Handheld medical diagnostic instrument that provides high time-resolution pulse waveforms associated with multiple parameters including blood pressure measurements, blood oxygen saturation levels, electrocardiograph (ECG) measurements, and temperature measurements. The device stores and analyzes the pulse waveforms simultaneously obtained from all tests, and thereby allows an unusually detailed view into the functioning of the user's cardiovascular heart-lung system. The device is designed for use by unskilled or semi-skilled users, thus enabling sophisticated cardiovascular measurements to be obtained in a home environment. Data from the device can be analyzed onboard, with local computerized devices, and with remote server based systems. The remote server may be configured to analyze this data according to various algorithms chosen by the physician to be most appropriate to that patient's particular medical condition (e.g. COPD patient algorithms). The server may be further configured to automatically provide alerts and drug recommendations.

The electrocardiograph (ECG) Shirt is an extremely elastic non-electric and non-mechanical method that creates a more secure bond to the skin and more accurate and standardized ECG electrode lead placement for men, women, and children. The ECG Shirt reduces unexpected movement or dislocation. Contrasted with much prior art that analyzes errors after the fact the ECG Shirt eliminates the potential for errors to occur. The ECG Shirt is capable of using most ECG devices with different types of electrode lead connectors or pads. The ECG Shirt facilitates not only twelve lead resting ECG testing but also exercise testing, monitoring, fifteen lead, and two different types of eighteen lead ECG testing. The ECG Shirt is a tool for teaching expert ECG electrode lead placement.

A device and method for monitoring a foetus over a period of time. The device includes an electrocardiograph for receiving and processing signals generated by the foetal heart and received from an electrode attached to the abdomen of the mother. The device also includes a second signal receiving and processing means for signals generated by a pressure or acceleration detector that is also attached to the abdomen of the pregnant mammalian animal. The pressure detector produces signals representative of the sounds of foetal heartbeat. The device also includes a comparator means to compare the respective sets of signals, and output means to produce an output indicative of the comparison between the two sets of signals.

A cardiac monitoring system and, more particularly, a wireless electrocardiograph (ECG) system. The present invention detects electrical signals from a patient's heart and transmits the signals digitally to a remote base station via telemetry. The base station converts the digital signals back to an analog electrical signals that can be read by an ECG monitor.

Electrocardiogram data and acceleration data obtained by a portable electrocardiograph of each patient are transmitted to a radio base station, and transmitted from the radio base station to a hospital computer via a public network, a line L, and a TA. Electrocardiograms and accelerations of a plurality of patients are displayed on the screen of the hospital computer based on the electrocardiogram data and acceleration data in real time. In the portable electrocardiograph, a communication device and an interface unit for communication are separated from other components by a ground plane, and an electrocardiogram measurement device is separated from the other components by a ground plane. Two of the ground planes are provided between the communication device and the interface unit for communication and the electrocardiogram measurement device.

The physiological or mental functioning of a patient is assessed by subjecting a patient to a protocol expected to activate or suppress the neurhormonal systems that regulate blood flow. A physiological signal indicative of the cardiac cycle, such as the electrocardiograph signal, is then monitored in synchrony with performance of the protocol. The physiological signal is processed to quantify the low frequency oscillation during different conditions during the protocol, and the results are interpreted in terms of cardiovascular changes, such as changes in blood flow to active tissues in the body. The results are then compared to normative data to assess the physiological or mental functioning of the patent.

Disclosed is a long-distance wireless network physiological multi-parameter monitor. A touch LCD screen and an operation pushbutton are arranged on a shell. A main control module and an interface module are connected with the shell and are connected with all or part of a blood pressure acquisition module, an electrocardiograph acquisition module, a breath acquisition module, a blood oxygen acquisition module, a pulse rate acquisition module and a body temperature acquisition module. The main control module and the interface module are connected with a physiological multi-parameter acquisition module and are connected with a wireless communication module. The monitor can acquire at real time all or part of the physiological parameters of blood pressure, electrocardiograph, breath, blood oxygen, pulse rate and body temperature, and at the same time can acquire the feedback of analysis results of the acquired physiological parameters according to needs. The monitor adopts modularized design and avoids the interference of the physiological parameters when sampling, thus successfully solving the most difficult problem of interference prevention in the miniaturization process of the multi-parameter monitor, particularly the interference from wireless communication lines to other sampling lines, and making the acquired physiological parameters accurate and stable.

The invention provides an electrocardio signal QRS complex wave detection method based on morphology and wavelet transform. The method comprises a first step of inputting an electrocardiograph (ECG) signal which restrains base line drift and after high-frequency noise is removed and carrying out segmentation, a second step of using a db6 wavelet to carry out four-layer wavelet decomposition to the segmented ECG signal obtained in the first step, a third step of using a multiresolution morphology decomposition method to decompose the segmented ECG signal obtained in the first step and searching a common model maximum value point on a third layer detail component and a fourth layer detail component and regarding the common model maximum value point as an R peak location, a fourth step of carrying out the OR operation to the R peak locations obtained in the second step and the third step and preserving a result as a new R peak location if the result is 1, a fifth step of recalling an R peak, a sixth step of confirming a starting point and a terminal point of an QRS complex wave, and a seventh step of confirming whether total ECG signal detection is finished or not, finishing the operation if the detection is finished, and updating a threshold value and repeating the second step to the seventh step until an algorithm is finished, if the detection is not finished. The method can reach detection accuracy rate of more than 99%.

A medical display for analyzing heart signals includes a cardiographic display which displays an electrocardiograph (ECG) heart signal segment of a patient having a magnitude and location in vector format within a single three-dimensional (3D) coordinate system (vectorcardiograph) sampled at incremental time intervals. The display communicates with a central processing unit (CPU) that implements an algorithm to permit a user to selectively and visually display a comparison of the patient ECG with at least one known display in vector format within a single three-dimensional (3D) coordinate system. The display also permits a user to selectively and visually convert and display an ECG heart signal segment into a color-coded projection of a time sequence, A method for analyzing heart signals includes implementing the algorithm to selectively and visually compare the ECG heart signal with at least one known display in vector format selected from the group.

The invention provides an emotion recognition system and method based on a wearable bracelet. The system comprises a physiological signal acquisition module, a physiological signal preprocessing module, a physiological signal feature extraction module, an emotion classification module and a comprehensive evaluation module; the physiological signal acquisition module is used for acquiring three kinds of physiological data of electrocardiograph, heart rate and skin electricity of a wearer; the physiological signal preprocessing module is used for carrying out data segmentation and denoising on the three kinds of physiological data and then transmitting the physiological data to the physiological signal feature extraction module; the physiological signal feature extraction module is used forcarrying out feature extraction on the three kinds of physiological data; the emotion classification module is used for carrying out emotion recognition on the three kinds of physiological data and outputting three emotion states; the comprehensive evaluation module adopts a weight-based voting decision rule, voting decision is carried out on the three emotional states, a current emotional state label of the wearable bracelet wearer is determined comprehensively, and a recognition result is obtained. According to the system, the cognitive and management capability of the wearer on the emotionof the wearer is improved, and a healthier psychological state can be possessed.

The invention relates to a method for realizing vector electrocardiograph, which projects the solid heart vectors on the front, horizontal, and side three planes, to form a plane electrocardiograph vector diagram, and sets the projections of several virtual lines on different angles and three plant rings, to form the liner expressed vector electrocardiograph. The virtual lines have 0-18 axles in 0-360 degrees of each plane to generate total 54 vector electrocardiographs. The invention can generate 1-78 coupled synchronous and/or selective twelve electrocardiographs, vector electrocardiograph, time electrocardiograph, steering time electrocardiograph, continuous electrocardiograph, or the like, while it can synchronously switch between one-dimension, two-dimension and three-dimension electrocardiographs.

The invention relates to a multistage lead electrocardiograph signal QRS waveform identification method. The method includes the steps that firstly, collected electrocardiograph signals are filtered, R waves of the II-stage lead electrocardiograph signals are identified, the positions of the R waves of the II-stage lead electrocardiograph signals serve as reference, R waves of other stages of lead electrocardiograph signals are identified, then Q waves and S waves of the multistage lead electrocardiograph signals are identified, and therefore multistage lead electrocardiograph signal QRS waveform identification is achieved. The method has the advantages that a new method is proposed for wavelet transformation R wave identification and matching errors of the maximal value and the minimal value in a traditional maximal value-minimal value method can be avoided. The method is particularly suitable for electrocardiograph signal QRS waveform identification.