Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Hiro

33 results about "Magnetocardiography device" patented technology

Motion and noise artifact detection for ECG data

Technologies are provided herein for real-time detection of motion and noise (MN) artifacts in electrocardiogram signals recorded by electrocardiography devices. Specifically, the present disclosure provides techniques for increasing the accuracy of identifying paroxysmal atrial fibrillation (AF) rhythms, which are often measured via such devices. According to aspects of the present disclosure, a method for detecting MN artifacts in an electrocardiogram (ECG) recording includes receiving an ECG segment and decomposing the received ECG segment into a sum of intrinsic mode functions. The intrinsic mode functions associated with MN artifacts present within the ECG segment are then isolated. The method further includes determining randomness and variability characteristic values associated with the isolated intrinsic mode functions and comparing the randomness and variability characteristic values to threshold randomness and variability characteristic values. If the randomness and variability characteristic values exceed the threshold characteristic values, the ECG signal is determined to include MN artifacts.
Owner:WORCESTER POLYTECHNICINSTITUTE

Heartbeat anomaly recognition algorithm based on deep learning technology

The invention discloses a heartbeat anomaly recognition algorithm based on a deep learning technology. The heartbeat anomaly recognition algorithm models a heartbeat recognition model as a sequence labeling problem, that is, the input is a series of electrocardiosignal segments corresponding to the heartbeat, and the output is the type corresponding to each heartbeat. In view of the characteristics of the heartbeat recognition task, the heartbeat anomaly recognition algorithm divides the recognition process into two phases: the characteristic extraction phase and the classification phase. Besides, the heartbeat anomaly recognition algorithm is directed to a patch-type long-range electrocardiogram device which has problems such as weak electrocardiosignal, large interference, irregular patient matching mode and the like, and is more demanding on the accuracy and stability of CAD (computer aided diagnosis). The heartbeat anomaly recognition algorithm based on a deep learning technology aims to achieve high accuracy and high robustness in heartbeat anomaly recognition in electrocardiosignal with poor signal quality and high interference by using the artificial intelligence technology,so as to greatly reduce the subsequent labor cost and shorten the cycle of generating a final conclusion.
Owner:成都蓝景信息技术有限公司

Intelligent ward-type ambulance for ECMO (extracorporeal membrane oxygenation) emergency treatment

PendingCN109498291AEliminate arrhythmiasRestore sinus rhythmAmbulance serviceForeign matterEngineering
The invention discloses an intelligent ward-type ambulance for ECMO (extracorporeal membrane oxygenation) emergency treatment. The intelligent ward-type ambulance comprises an ambulance body and a compartment, wherein the ambulance body is fixed to the bottom of the compartment and used for providing power and electric power for the compartment. The intelligent ward-type ambulance is characterizedin that emergency treatment equipment for on-site emergency treatment of critical patients is mounted inside the compartment and combined with a vehicular ECMO technology to finish the emergency treatment process of the critical patients. The emergency treatment equipment is arranged inside the ambulance body and comprises a cardio-pulmonary resuscitator, an electrocardiogram device, a respirator, an infusion and injection pump and a defibrillator, pulse current acts on a heart to implement electric-shock treatment and eliminate heart disorder, so that a heart restores sinus rhythm, the emergency treatment equipment is used in the emergency treatment process of the patients, an aspirator is used for adsorbing foreign matters in the surgical process, smoothness of the emergency treatment process is facilitated, so that the emergency treatment equipment can be combined with the vehicular ECMO technology in the emergency treatment process, the life of the critical patients is timely supported and rescued, and the use range of the ambulance is widened.
Owner:珠海鹏宇汽车有限公司

Improved ecg-based triggering for magnetic resonance imaging

A method of imaging, by means of magnetic resonance, at least a portion of a human or animal subject of interest (20) positioned in a static magnetic field, the method comprising: —taking measurements of electrocardiogram data; —generate vector cardiogram data from the electrocardiogram data; —determining at least one parameter of an acquisition period of acquiring magnetic resonance signals from the vector cardiogram data in order to synchronize measurement of magnetic resonance signals to a cyclic movement of the heart of the subject of interest (20); wherein the at least one parameter of the acquisition period is determined from an actual value of a discriminating function and a predetermined reference function, wherein for determining the at least one parameter of the acquisition period, a step of adapting at least one of the discriminating function and the predetermined reference function is executed, dependent on a breathing status of the human or animal subject of interest (20); and—a magnetic resonance imaging system (10) for acquisition of images of at least a portion of a human or animal subject of interest (20), synchronized to a cyclic movement of the heart of the subject of interest (20), comprising: —a control unit (28) for controlling functions of the magnetic resonance imaging system (10); —an image processing unit (34) provided for processing acquired magnetic resonance signals; —an electrocardiogram device (36) for taking measurements of electrocardiogram data of the heart of the subject of interest (20); —a synchronization unit (40) coupled to the electrocardiogram device (36) and configured for determining at least one parameter of an acquisition period from the vector cardiogram data, wherein the synchronization unit (40) is configured to provide trigger signals (60) indicative of the determined at least one parameter of the acquisition period to the control unit (28); and wherein the synchronization unit (40) is configured to adapt at least one of the discriminating function and the predetermined reference function, dependent on a breathing status of the human or animal subject of interest (20).
Owner:KONINKLJIJKE PHILIPS NV

Electrode connection method and device for electrocardiogram equipment

The invention relates to an electrode connection method for electrocardiogram equipment. The method comprises the following steps that a preset electrode connection sequence list is sent to a signal collecting device of the electrocardiogram equipment; multiple electrodes are connected to corresponding positions of a measured person according to a set sequence, and after all the electrodes are connected, the electrodes are defined to be electrodes with the same positions in the electrode connection sequence list according to the positions of the connection sequence during the detection; signal channels connected with the electrodes are defined to be corresponding signal ports, signals collected by the electrodes can pass the signal channels, and names for the defined electrodes serve as signal names of the signals and are input into the electrocardiogram equipment. The invention further relates to a device achieving the method. The electrode connection method and device for the electrocardiogram equipment have the advantages that use is more convenient, and the workload is small.
Owner:EDAN INSTR

Wearable electrocardiographic monitoring technology (ECG) with an airtight container for medicines, and integrated medical monitoring system

ActiveUS20190313968A1Shortening time to definite treatmentSmall article dispensingGarment special featuresCardiac lesionModem device
The present invention refers to a wearable, individual, customized and different sized technology for men and women, composed of electrodes, conductive track and airtight container for medicines, coupled to one another, and a mini electrocardiogram (ECG) apparatus containing a GSM (Global System Mobile) modem and a GPS (Global Positioning System) or a Bluetooth system which, through a wireless network specification within a personal scope (Wireless Personal Area Networks—PANs) deemed as PAN-type or even WPAN, the electrical signal acquisition begins when the user press the button down. It is in the field of medical, recreational and / or sport applications, aiming at monitoring patients at high cardiovascular risk, being possible to diagnose it as soon as possible, aiming at shortening time to definite treatment of those who present acute coronary syndrome (ACS), acute myocardial infarction (AMI), acute atrial fibrillation-type (AAF) cardiac arrhythmias, and other cardiac arrhythmias or other cardiac pathologies capable to be detected by the electrocardiographic trace. Moreover the invention has tools to analyze a bunch of data—big data analytics and deeplearning—by utilizing artificial intelligence. Finally, the invention also has a module to proper administer the drug contained into the airtight container.
Owner:LOTUS MEDICINA AVANCADA

Cardiac ejection fraction calculation method and device

The embodiment of the invention provides a cardiac ejection fraction calculation method and device, and the method comprises the steps: obtaining ultrasonic video data of a target cardiac region of asubject, and generating a channel image set according to the ultrasonic video data, wherein the target heart region is a cardiac two-cavity or heart four-cavity; wherein the channel image set is a setof channel images corresponding to each frame of image in the ultrasonic video data; generating a binary image set according to the channel image set; and determining the cardiac ejection fraction ofthe subject according to the binarized image set. By utilizing the self-learning function of the neural network, the cardiac ejection fractions of multiple cardiac cycles are automatically calculated, the defects of a traditional calculation method are overcome, the method does not depend on other devices such as electrocardiogram devices and cross-cardiac cycle analysis devices, and the invention has the advantages of being high in accuracy, high in usability, repeatable and the like. Sufficient and accurate reference data is provided for classification, diagnosis and treatment of heart failure.
Owner:深圳蓝影医学科技股份有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products