171 results about "Heart rate rhythm" patented technology

A system and method for monitoring and controlling the therapy of a cardiac rhythm abnormality victim at a remote site by proving immediate access to a medical professional at a central station. The method comprises the steps of: (1) providing a plurality of electrodes for receiving cardiac signals generated by the victim and for the application of electrical pulses to the victim at a remote site; (2) transmitting the signals from the remote site to a central station; (3) receiving the signals at the central station and displaying them for the medical professional; (4) selecting whether to delivery defibrillation or pacing therapy to the victim based on the medical professional's analysis of the signals (5) transmitting the selection results to the remote site; and (6) receiving the selection results at the remote site and applying the selected therapy to the victim.

A method and system for generating a characterization of one beat of a patient's supraventricular rhythm (SVR) involves performing such characterization while the heart is being paced. During SVR characterization, various pacing parameters are modified and the patient's supraventricular rhythm is characterized while the pacing parameters are modified. The SVR characterization process is effective in single and multiple chamber pacing modes.

An heart rhythm monitoring device for a vehicle, which determines whether a driver has an arrhythmia includes a vehicle state determining portion that determines whether the vehicle is stopped; an electrode arranged on a steering wheel in a position where the driver grips the steering wheel; an electrocardiogram waveform obtaining portion that obtains a first electrocardiogram waveform from the electrode; and a signal processing and calculating portion that determines whether the heart rhythm of the driver is erratic based on the first electrocardiogram waveform. When the vehicle is in motion, the signal processing and calculating portion determines whether the heart rhythm of the driver is erratic based on the waveform component that is strong with respect to noise in the first electrocardiogram waveform.

The invention provides a cardiac rhythm management system for stimulating a heart having photosensitive tissue, vectors useful to photosensitize cells expressing the vectors, and methods for light induced depolarization of cells.

Method and apparatus for determining the state of entrainment between biological systems which exhibit oscillatory behavior such as heart rhythms, respiration, blood pressure waves and low frequency brain waves based on a determination of heart rate variability (HRV) and an evaluation of the power spectrum thereof. Entrainment reflects a harmonious balance between the two branches of the autonomic nervous system within the body. This internal state of heightened physiological efficiency enhances health and promotes optimal performance. According to one embodiment a method is used to determine the entrainment level based on an entrainment parameter related to HRV. The method first determines the power distribution spectrum (PSD) and then calculates an entrainment parameter (EP), which is a measure of the power distribution in the HRV spectrum. High EP values occur when this power is concentrated within a relatively narrow range of frequencies, and lower values when the power is distributed over a broader range of frequencies. In one embodiment, an apparatus is provided for monitoring the heart beat and presenting this information via a personal computer, handheld device, or other processing means.

A system for the detection of cardiac events occurring in a human patient is provided. At least two electrodes are included in the system for obtaining an electrical signal from a patient's heart. An electrical signal processor is electrically coupled to the electrodes for processing the electrical signal and a patient alarm means is further provided and electrically coupled to the electrical signal processor. The electrical signal is acquired in the form of electrogram segments, which are categorized according to heart rate, ST segment shift and type heart rhythm (normal or abnormal). Baseline electrogram segments are tracked over time.

A minimally invasive method of performing mitral annuloplasty is disclosed. An implantable device is positioned within the coronary sinus and tightened around the mitral annulus. Mitral valve regurgitation is monitored before, during, and/or after the tightening step. An on-going drug therapy may be determined, taking into account post-implantation hemodynamic function.

Techniques are provided for detecting atrial fibrillation (AF) based on variations in ventricular intervals detected by a pacemaker, implantable cardioverter-defibrillator (ICD) or implantable cardiac monitor (ICM). In one example, ventricular beats are detected and intervals between the ventricular beats are measured, such as RR intervals. Irregular ventricular beats are identified, including ectopic beats, bigeminal beats, and the like. The degree of variability within the ventricular intervals is then determined while excluding any intervals associated with irregular beats. AF is then detected based on the degree of variability. That is, AF is detected based on variability occurring within ventricular intervals after ectopic beats and other irregular beats have been eliminated, thus mitigating detection problems that might arise if the variability were instead calculated based on all ventricular beat intervals. Techniques are also described herein for distinguishing AF from sinus tachycardia, which can also cause a high degree of variability in RR intervals.

The invention relates to a wearable heart rhythm monitoring device. The wearable heart rhythm monitoring device comprises a processor, as well as a heart rate sensor, a motion sensor, at least two electrocardioelectrodes, a storage and an electrocardiogram recording module which communicate with the processor, wherein the processor comprises an average heart rate computation module, a normal heart rate variation range computation module, a heart rate classification module and a rapid heart rate motion check module; the storage is used for receiving and storing data information. The wearable heart rhythm monitoring device can be worn by a user for a long time, and the daily life of the user is not influenced; meanwhile, the monitoring device carries out monitoring from the point of view of medical science, can collect all key data including the heart rate, the motion, the electrocardiogram and the oxygen saturation relevant to the arrhythmia, and can automatically monitor and record the arrhythmia incident found in the heart rate monitoring process; the monitoring device automatically analyzes each heartbeat from many dimensions, and accurately classifies the heartbeats, and thus various potential arrhythmia problems are found.

The invention provides an automatic shockable rhythm identification and classification method combined with electrocardio time-frequency domain feature analysis. The method comprises specific steps as follows: S1, pretreating electrocardio signals; S2, automatically identifying cardiac arrest rhythms, and if discrimination conditions are not met, implementing S3; S3, on the basis of an integral coefficient band-pass filter, calculating the maximum amplitude proportion value (Pa), the average amplitude proportion value (Pb) and the average deviation proportion value (Pc) of output signals; S4, S5, S6 and S7, discriminating shockable rhythms and non-shockable rhythms according to frequency domain feature values such as the Pa, the Pb, the Pc and the like, and implementing S8 in case of failure; S8, calculating an electrocardio standard grid bar projection standard deviation; S9, discriminating the shockable rhythms and the non-shockable rhythms according to the standard deviation. The method can be applied to instruments and equipment which automatically identify and classify the shockable rhythms according to body surface electrocardiograms, the shockable rhythm identification sensitivity and the non-shockable rhythm specificity are improved, and the algorithm operating efficiency is improved.

A method for determining a cardiac shock strength, for example the programmed first-therapeutic shock strength of an implantable cardioverter defibrillator (ICD), including the steps of sensing a change in a T-wave of an electrogram with respect to time such as the maximum of the first derivative of a T-wave of an electrogram; delivering a test shock by (i) delivering a test shock at a test-shock strength and at a test-shock time relating to the maximum of the first derivative of the T-wave with respect to time; and (ii) sensing for cardiac fibrillation. If fibrillation is not sensed, test-shock delivery is repeated at the same test-shock strength and at specific, different test-shock times relating to the maximum of the first derivative of the T-wave. If fibrillation is still not sensed, the shock strength is decreased and test shocks are repeated at the same specific test shock times relative to the maximum of the first derivative of the T-wave. And if fibrillation is sensed, the programmed therapeutic shock strength of the ICD is set as a function of the incrementally greater test-shock strength. Also disclosed is an apparatus for selecting a programmed first-shock strength of an ICD, including a shock subsystem for delivering therapeutic shocks and test shocks to the heart, and a ULV subsystem connected to the shock subsystem, to provide test shocks of test-shock strengths and at test-shock times relating to the maximum of the first derivative of the T-wave with respect to time, and to determine the therapeutic shock strength of the ICD as a function of the test-shock strengths.

The invention provides a resonance psychological training device. Based on brain science and musical treatment principles, the device comprises a brain wave collector, a brain wave generator, a heart rate monitor, a music library, a conversion regulator and music playing equipment, wherein the brain wave collector is responsible for collecting the frequency and the relaxation degree of an individual brain wave; the brain wave generator is responsible for generating a wave of corresponding frequency to be guided into a human body; the conversion regulator is responsible for corresponding to selected music in the music library according to the values of the heart rate rhythm and the relaxation degree of the individual under different function modules; the music playing equipment is responsible for playing the selected music; the playing modes comprise a power amplifier playing mode and an earphone playing mode; and a corresponding earphone is configured. The device is divided into three functional modules: an auxiliary mindfulness training module, an auxiliary sleeping module and an auxiliary emotion promotion module. The training device can balance an autonomic nerves system, the results of physiological synthesis technique indexes are coordinated and promoted, and the functions of assisting the individual to carry out mindfulness training, sleeping and emotion promotion are achieved.

The invention provides methods and materials for screening for polymorphic variants in ABCB1 and diagnosing altered susceptibilities for drug-induced heart rhythm irregularities based on the same. These methods allow better treatment regimens for using drugs that bind a protein encoded by the ABCB1 and/or induce heart rhythm irregularities such as the anti-cancer drug FK228.

The invention discloses a heart rhythm classification system based on machine learning. The heart rhythm classification system comprises a data collection module, a data preprocessing module and a classification algorithm module; the data collection module collects an electrocardiosignal of a subject; and the data preprocessing module performs noise analysis and filtration, collects 45% of samplesin a left interval and correspondingly collects 55% of samples in a right interval to complete segmentation of a heart beat, and performs normalization processing at last. On the basis, the classification algorithm module for a convolutional neural network (CNN) model and an encoding-decoding model is established, and a classification model is established by using a good characteristic extractionability of the CNN and a time sequence characteristic extraction ability of long short-term memory (LSTM), so the problem that the RNN cannot process a far-distance reliance independently is overcome; and according to the heart rhythm classification system provided by the invention, the average sensitivity and the average accuracy are greatly improved, the complex characteristic extraction is avoided, the influence on a classification result due to manual extraction of a characteristic value is reduced, and the heart rhythm classification effect is improved.

A system and method for restoring a microprocessor-based system to a previously booted target state in which an image of memory and the processor registers in the previously booted state is saved and stored in a storage device. A restore routine executing in ROM retrieves the image from the storage device and restores the system memory and processor registers to the target state. An operating system return routine then returns control of the system to the operating system software. In an exemplary implementation, a system in accordance with the invention is incorporated into a microprocessor-based external programmer for a cardiac rhythm management device in order to allow quick starting of the programmer from a powered down condition without going through a time consuming boot process.

Disclosed is a security inspection device capable of recognizing criminals. Acoustic optoelectronic technologies such as radar, laser, microwave, Doppler and ultra-wideband are used to acquire people's mental languages such as electrocardiogram, heart rhythm, blood pressure and breath in a certain distance without contacting human bodies. Cameras are used to acquire people's body languages such as actions, expressions and eye expressions so as to find out criminal suspects. The security inspection device capable of recognizing criminals has the advantages that the security inspection device capable of recognizing criminals is simple and convenient to operate, fast in inspection, criminal suspects can be found out directly, safety of security inspection staff can be guaranteed to the maximum extent, space occupation of the device is low, antipathy of people can be avoided due to the fact that the bodies and privacy of people are not contacted, no high-energy rays harmful to human bodies such as X-ray are needed and the like.

The invention relates to medicine, namely to cardiology, cardiovascular surgery, functional diagnosis and clinical electrophysiology of the heart. The invention consists in reconstructing electrograms, whose experimental registration requires an invasive access, by computational way on unipolar ECGs recorded at 80 and more points of the chest surface. An application of the method allows one to improve the accuracy of non-invasive diagnosis of cardiac rhythm disturbances and other cardio-vascular diseases.

A recognition algorithm of heart rhythm capable of electric shock cardioversion based on grid projection distribution dispersion, is suitable for disease diagnosis and treatment instrument or apparatus, including the steps: S1, preprocessing the electrocardiosignal; S2, recognizing whether the electrocardiosignal is the heart rhythm of cardiac arrest, if so, judging the heart rhythm as the heart rhythm incapable of electric shock cardioversion, otherwise, continuing the follow-up steps S3 and S4; S3, calculating the distribution dispersion of the grid projection; S4, determining whether it pertains to the heart rhythm incapable of electric shock cardioversion or the heart rhythm capable of electric shock cardioversion based on the distribution dispersion of the grid projection. The invention improves the sensitivity and specificity of recognizing the heart rhythm capable of electric shock cardioversion, simplifies the computational complexity of the algorithm, can be applied to the existing ECG guardianship equipment and automatic external defibrillator, and the like instruments requiring body surface electrocardiogram for recognizing the heart rhythm capable of electric shock cardioversion.

In embodiments a wearable cardioverter defibrillator (WCD) system is worn by an ambulatory patient. The WCD system analyzes an ECG signal of the patient, to determine whether or not the patient should be given an electric shock to restart their heart. If the WCD system determines that such a shock should be given, then it also determines whether or not a High Frequency (H-F) noise criterion is met by the ECG signal. If that H-F noise criterion is not met, the patient can be shocked. If, however, that H-F noise criterion is met, then the WCD system can confirm before shocking, by sensing another portion of the ECG signal, analyzing again, and so on. Thanks to the confirmation before shocking, the possibility is diminished that the ECG signal will indicate that a shock is needed falsely, due to H-F noise. This can further reduce false patient alarms, and so on.