1584 results about "Ecg signal" patented technology

A cardiac monitoring and telemedicine method and system provides advanced ischemia and infarction analysis and monitoring. Advanced calculations are performed on ECG signals to obtain parameter values relating to myocardial ischemia and infarction. Dominant heart beats are averaged to form a smooth beat, which is analyzed to determine the parameter values continuously and in real-time. The device includes an entry portion for input of information data and a communication portion for bi-directional communication with a central unit.

A system and method for detecting and discriminating atrial arrhythmias based on mechanical signals of cardiac wall motion and electrical signals of cardiac depolarizations. A mechanical event rate determined from sensed mechanical events is used to corroborate an electrical event rate determined from sensed EGM or ECG signals to classify the heart rhythm. If the event rates are not correlated, other parameterized data from the mechanical signal and electrical signal are evaluated to detect evidence of an arrhythmia. If electrical and mechanical event data do not corroborate a common arrhythmia condition, electrical and mechanical sensing parameters may be adjusted.

A system to form and store an electrocardiogram (ECG) signal derived from a cardiac electrical signal that includes an apparatus having a pair of the electrodes to connect to a patient to detect the cardiac electrical signal. A signal sampler samples the cardiac electrical signal to form the ECG signal. A data storage device stores the ECG signal. A computer communicates with the data storage device to retrieve the ECG signal for analysis by software stored in the memory of the computer. The software analyzes a morphology of the amplitude of a plurality of R-wave peaks contained within the ECG signal and/or analyzes a morphology of the area of a plurality of QRS complex pulses contained within the ECG signal.

The invention provides a multi-sensor system that uses an algorithm based on adaptive filtering to monitor a patient's respiratory rate. The system features a first sensor selected from the following group: i) an impedance pneumography sensor featuring at least two electrodes and a processing circuit configured to measure an impedance pneumography signal; ii) an ECG sensor featuring at least two electrodes and an ECG processing circuit configured to measure an ECG signal; and iii) a PPG sensor featuring a light source, photodetector, and PPG processing circuit configured to measure a PPG signal. Each of these sensors measures a time-dependent signal which is sensitive to respiratory rate and, during operation, is processed to determine an initial respiratory rate value. An adaptive digital filter is determined from the initial respiratory rate. The system features a second sensor (e.g. a digital 3-axis accelerometer) that attaches to the patient's torso and measures an ACC signal indicating movement of the chest or abdomen that is also sensitive to respiratory rate. This second signal is processed with the adaptive filter to determine a final value for respiratory rate.

A subcutaneous implantable cardioverter defibrillator (SubQ ICD) includes a housing carrying electrodes for sensing ECG signals and delivering therapy. A sensor detects local motion in the area of the housing and produces a noise signal related to motion artifact noise contained in ECG signals derived from the electrode array. An adaptive noise cancellation circuit enhances ECG signals based on the local motion noise signal. A therapy delivery circuit delivers cardioversion and defibrillation pulses based upon the enhanced ECG signals.

System and method for monitoring and controlling, defibrillation and pacing which allows a victim of a cardiac rhythm abnormality immediate access to a medical professional at a central station, who will remotely monitor, diagnose and treat the victim at one of a plurality of remote sites in accordance with the following steps: (1) providing a plurality of contact electrodes for a victim at a remote site for the receipt of ECG signals and for the application of electrical pulses to the victim; (2) transmitting the signals from the remote site to a central station and displaying them for review by the medical professional; (3) the medical professional selecting from a menu of defibrillation and pacing pulses, if the application thereof is appropriate; (4) transmitting the selection results to the remote site; and (5) receiving the selection results at the remote site and applying the selected pulses to the victim.

The invention provides a multi-sensor system that uses an algorithm based on adaptive filtering to monitor a patient's respiratory rate. The system features a first sensor selected from the following group: i) an impedance pneumography sensor featuring at least two electrodes and a processing circuit configured to measure an impedance pneumography signal; ii) an ECG sensor featuring at least two electrodes and an ECG processing circuit configured to measure an ECG signal; and iii) a PPG sensor featuring a light source, photodetector, and PPG processing circuit configured to measure a PPG signal. Each of these sensors measures a time-dependent signal which is sensitive to respiratory rate and, during operation, is processed to determine an initial respiratory rate value. An adaptive digital filter is determined from the initial respiratory rate. The system features a second sensor (e.g. a digital 3-axis accelerometer) that attaches to the patient's torso and measures an ACC signal indicating movement of the chest or abdomen that is also sensitive to respiratory rate. This second signal is processed with the adaptive filter to determine a final value for respiratory rate.

This is directed to an electronic device having an integrated sensor for detecting a user's cardiac activity and cardiac electrical signals. The electronic device can include a heart sensor having several leads for detecting a user's cardiac signals. The leads can be coupled to interior surfaces of the electronic device housing to hide the sensor from view, such that electrical signals generated by the user can be transmitted from the user's skin through the electronic device housing to the leads. In some embodiments, the leads can be coupled to pads placed on the exterior of the housing. The pads and housing can be finished to ensure that the pads are not visibly or haptically distinguishable on the device, thus improving the aesthetic qualities of the device. Using the detected signals, the electronic device can identify or authenticate the user and perform an operation based on the identity of the user. In some embodiments, the electronic device can determine the user's mood from the cardiac signals and provide data related to the user's mood.

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 computer-based method for positioning an endovascular device in or near the heart using electrocardiogram (ECG) signals is provided. The computer-based method includes receiving an endovascular ECG signal, associated with an endovascular device, including a plurality of waveforms, each waveform having at least a P-wave component, processing the endovascular ECG signal, over a plurality of predetermined time periods, to calculate a P-wave amplitude and a spectral power for each predetermined time period, determining a maximum P-wave amplitude from the plurality of P-wave amplitudes, and an associated maximum spectral power from the plurality of spectral powers, associating the maximum P-wave amplitude and the maximum spectral power with a predetermined location in or near the heart, calculating a location of the endovascular device, for each predetermined time period, based on a ratio of the P-wave amplitude to the maximum P-wave amplitude and a ratio of the spectral power to the maximum spectral power, and displaying the location of the endovascular device to a user.

Chest compressions are measured and prompted to facilitate the effective administration of CPR. A displacement detector produces a displacement indicative signal indicative of the displacement of the CPR recipient's chest toward the recipient's spine. A signaling mechanism provides chest compression indication signals directing a chest compression force being applied to the chest and a frequency of such compressions. An automated controller and an automated constricting device may be provided for applying CPR to the recipient in an automated fashion. The automated controller receives the chest compression indication signals from the signaling mechanism, and, in accordance with the chest compression indication signals, controls the force and frequency of constrictions. The system may be provided with a tilt compensator comprising a tilt sensor mechanism outputting a tilt compensation signal indicative of the extent of tilt of the device, and may be further provided with an adjuster for adjusting the distance value in accordance with the tilt compensation signal. An ECG signal processor may be provided which removes the CPR-induced artifact from a measured ECG signal obtained during the administration of CPR.

The invention provides an electrocardiogram signal compression and de-compression system. The invention uses the sign characteristics of the coefficients of the discrete cosine transform type IV and the characteristics of quantization of spectrum to perform the differential pulse code modulation of the spectrum for preserving the high frequency characteristics of the spectrum of the discrete Fourier transform. The invention also uses the Huffman coding to increase the compression ratio. Different from the conventional compression technology, the invention uses the fact that the quantization values of the spectrum in the high frequency are almost the same to increase the compression ratio and preserve the characteristics of high frequency components of the spectrum.

The present invention describes a method of tracking minute ventilation from R-R intervals that are based on the acquisition of ECG signal. Sub-methods (RDF1), which are mainly based on heart rate variability, are used, wherein the respiratory frequency is determined from a pattern of rhythmic changes in heart beat data. The sub-methods (RDF1-n) are combined using an expert function, wherein each sub-method (RDF1-n) determines an estimate of the respiratory frequency.

A system that continuously monitors cardiovascular health using an electrocardiography (ECG) source synchronized to an optical (PPG) source, without requiring invasive techniques or ongoing, large-scale external scanning procedures. The system includes an ECG signal source with electrodes contacting the skin, which generates a first set of information, and a watch-like device, worn on a limb such as an arm or a wrist, having a reflectance-based PPG signal source that generates a second set of information. Together with a processing module, housed within the watch-like device and configured to receive and process the first and second sets of information, from which the time differential of the heart beat pulmonary pressure wave can be calculated, continuous data related to cardiovascular health markers such as arterial stiffness can be determined. Automated heart rate calibration of the reflectance-based PPG sensor can also be achieved.

A method of mapping ventricular arrhythmias in a subject includes placing a plurality of ECG leads on the subject; triggering an arrhythmia with a pacing catheter, determining its location and recording the resulting ECG signals from the plurality of leads; successively navigating the electrode on a catheter to each of a plurality of points in the general location of the source of the arrhythmia site, applying electrical stimulation to each site via the electrode, and recording the resulting paced ECG; and comparing each paced ECG from each point with an ECG during the arrhythmia to identify the point where the paced ECG most closely corresponds to the ECG during arrhythmia.

The present invention relates to a measurement apparatus for heart rate variability, which comprises an earpiece, a measurement module for photoplethysmographic (PPG) signal measuring an ear and producing a first physiological signal of a person under test, a measurement module for electrocardiographic (ECG) signal measuring a second physiological signal of the person under test, and a control and processing unit transmitting a sound signal to the earpiece. By playing the sound signal from the earpiece, the attention of the person under test can be detracted from the measurement module for PPG signal or the measurement module for ECG signal. Thereby, nervousness and impatience of the person under test can be eliminated, and hence the real heart rate variability of the person under test can be measured.

A system and method for obtaining ECG signals from an ambulatory patient are disclosed herein. The system is configured to be inexpensive, small, and robust for outpatient monitoring. The system is configured to be a low power consuming device. The system provides options for a variety of settings and real-time access to the ECG signals being recorded during the recording period.

The invention relates to a multiple-template matching identity recognition method based on an ECG (Electrocardiogram) under an electrocardiogram abnormality state, and belongs to the technical field of biological characteristic identity recognition. The ECG data of a user to be recognized is compared with the data of a registered user in a template library to obtain an identity recognition result. The key technology of the method comprises the following steps: carrying out electrocardiosignal preprocessing for eliminating noise interference; carrying out electrocardiosignal decomposition to separate an electrocardiogram waveform of each period; carrying out standardized processing for independently achieving standardization on time and amplitude scales; carrying out characteristic extraction: in the step, characteristics are extracted by wavelet transform, and clustering analysis is carried out by an ISODATA (Iterative Self-organizing Data Analysis Techniques Algorithm) so as to construct an ECC template library; and carrying out correlation analysis: in the step, correlation between ECG test data and each template is calculated, an optimal matching template is selected, and finally, an identity recognition result is obtained. The multiple-template matching identity recognition method provided by the invention utilizes the intrinsic electrocardiosignal of a human body to recognize an identity, and the ECG data under the abnormality state is considered.

An ECG system is used in ECG signal measurement of intra-cardiac ECG using a catheter. The system includes a lead signal switch for disconnecting an amplifier input terminal from a reference point and reconnecting the input terminal to a patient limb electrode. An ECG signal processor amplifies the difference of a chest lead signal electronically connected to a catheter, and a patient limb signal provided by the reconnecting of the input terminal.

A method and system for estimating the volume of blood ejected from a cardiac ventricle or atrium uses ultrasound to track speckle patterns in the heart. The process utilizes the M-mode to estimate volume differences in a view of the ventricle or atrium over time using speckle pattern motion to estimate volume differences between systole and diastole. Alternatively, the ultrasound speckle tracking method may be used in combination with Doppler processing techniques or to obtain temporal flow profiles across flow cross-sectional areas, from which the flow volume is computed. The method can also measure the phase delay of motion of sites on the cardiac wall relative to each other or relative to an ECG signal.

Computer implemented methods and associated systems are disclosed for processing electrical signals recorded from the heart and, more particularly, for objectively deriving sub-components and comparing signals and their sub-components.

Computer-implemented methods, computer program products, and systems are disclosed for analyzing electrocardiogram (ECG) traces or other types of signals. In one aspect, a computer-implemented method of performing such an analysis on an ECG trace includes defining a match region within an ECG signal template comprising one cardiac cycle. The match region comprises a portion of the ECG signal template that is shorter than the entire template. The method also includes performing a similarity comparison analysis on an ECG trace. The similarity comparison analysis includes, for at least one cardiac cycle within the ECG trace, a comparison of the defined match region to a corresponding region of the cardiac cycle of the ECG trace to determine a degree of similarity between the defined match region and the corresponding region of the cardiac cycle of the ECG trace. The method also includes producing a results output based upon the similarity comparison analysis.

Devices and methods for obtaining and using endovascular electrograms in a number of clinical applications and settings are disclosed. In one embodiment, a method is disclosed for locating an indwelling medical device within a vasculature of a patient. The method comprises identifying an endovascular ECG waveform complex from an endovascular ECG signal associated with the indwelling medical device, then calculating an absolute value of the energy of the endovascular ECG waveform complex over a predetermined segment thereof. A position of the medical device within the vasculature is then determined by observation of the absolute value of the energy of the predetermined segment of the endovascular ECG waveform complex.

The invention provides a multi-sensor system that uses an algorithm based on adaptive filtering to monitor a patient's respiratory rate. The system features a first sensor selected from the following group: i) an impedance pneumography sensor featuring at least two electrodes and a processing circuit configured to measure an impedance pneumography signal; ii) an ECG sensor featuring at least two electrodes and an ECG processing circuit configured to measure an ECG signal; and iii) a PPG sensor featuring a light source, photodetector, and PPG processing circuit configured to measure a PPG signal. Each of these sensors measures a time-dependent signal which is sensitive to respiratory rate and, during operation, is processed to determine an initial respiratory rate value. An adaptive digital filter is determined from the initial respiratory rate. The system features a second sensor (e.g. a digital 3-axis accelerometer) that attaches to the patient's torso and measures an ACC signal indicating movement of the chest or abdomen that is also sensitive to respiratory rate. This second signal is processed with the adaptive filter to determine a final value for respiratory rate.

Cardiac electrical events are detected by comparing signal vectors with pre-determined classification zones representative of different cardiac events. The signal vector is generated by sensing the voltages between various combinations of electrodes, such as A-tip to V-tip, A-tip to A-ring, and A-ring to V-ring. The signal vector is compared with a set of classification zones corresponding to different events, such as P-waves, R-waves, T-waves, A-pulses, and V-pulses, to determine whether the vector lies within any of the classification zones. In this manner, cardiac events are detected using only the voltages received from the electrodes and no refractory periods or blanking periods are required to distinguish one event from another. The classification zones vary from patient to patient and a technique is provided herein for generating a set of vector classification zones for a particular patient. Signal vectors corresponding to various unknown cardiac events are generated by the implanted device and are transmitted to an external device programmer. ECG signals, generated by a surface ECG detector, are simultaneously received by the external programmer. The external programmer identifies the cardiac electrical event corresponding to each signal vector based on the ECG signals and then generates classification zones for each event type using only the signal vectors corresponding to the event.

We disclose herein a method of detecting abnormalities in electrocardiogram (ECG) signals, the method comprising receiving a set of ECG signals from an ECG device; amplifying only the peaks of at least some of the set of ECG signals to produce ECG beat markings from which a heart rate is derivable to detect an irregular rhythm between at least two ECG beats; extracting a single ECG beat from the set of ECG signals from the ECG device by using said ECG beat markings; feeding the extracted single ECG beat into a first neural network; producing, at the first neural network, a compact representation of the extracted single ECG signal so as to generate a feature extraction output; and using, at a second neural network, the feature extraction output from the first neural network to generate a score associated with the abnormalities in the ECG signals.

A method is provided for treatment of heart failure having the steps of obtaining cardiac digital data from a medical imaging system utilizing an ECG gated protocol; generating a series of 3D images of a cardiac chamber and its surrounding structures, preferably the left ventricle and coronary sinus, from this cardiac digital data at select ECG trigger points that correspond to different phases of the cardiac cycle; registering these 3D images with an interventional system; acquiring ECG signals from the patient in real-time; transmitting these ECG signals to the interventional system; synchronizing the registered 3D images with trigger points on the transmitted ECG signals to generate a 4D image; visualizing this 4D image upon the interventional system in real-time; visualizing a pacing/defibrillation lead over the 4D image upon the interventional system; navigating the pacing/defibrillation lead utilizing the 4D image; and placing the pacing/defibrillation lead over the cardiac chamber at an appropriate site to treat the heart failure.

The invention discloses a multi-conducting-channel synchronous electrocardio signal processing method and an apparatus. The method comprises the following steps: A1, collecting electrocardio signals of each conducting channel respectively and obtaining electrocardio signal data of each conducting channel; B1, calculating a quality judgment guideline of each conducting channel according to the electrocardio signal data; C1, performing optimized conducting channel selection according to the quality judgment guideline; D1, performing QRS wave identification and specification to each single conducting channel or at least to the optimized conducting channel according to the electrocardio signal data; E1, performing a combination judgment to the QRS wave identification and specification result of the optimized conducting channel to form a combination detection result. The invention realizes the tracing of dynamic variation of the quality of signals in a comparatively complicated clinical application environment and the effective extraction of electrocardio signals through dynamic switching of the optimized conducting channels, and finally a reliable analyzing information of the rhythm of heart of a patient can be obtained.

The invention discloses a physiological information-based depressive disorder evaluation system, which comprises an information acquisition module, a signal processing module, a parameter calculating module, a characteristic selecting module, a machine learning module and a result output module. The invention further discloses a depressive disorder evaluation method based on multiple pieces of physiological information, which comprises the following steps: 1, processing one or more than one signal of an electrocardiosignal, a pulse wave signal, an electroencephalographic signal, a galvanic skin response signal, an electrogastrogram signal, an electromyographic signal, an electrooculogram signal, a polysomnogram signal and a temperature signal, and calculating signal parameters; 2, carrying out normalization on the obtained signal parameters, and carrying out characteristic selection on a parameter set consisting of the signal parameters subjected to the normalization, so as to obtain a characteristic parameter set; 3, carrying out machine learning on the characteristic parameter set, and establishing a depressive disorder evaluation mathematic model according to the relationship between the characteristic parameter set and the levels of the depressive disorder, and evaluating the levels of the depressive disorder. The physiological information-based depressive disorder evaluation system and method have the advantages that subjectivity of scale evaluation and the like can be avoided.

A wearable medical device and method of detecting clipping of ECG signals is disclosed. In one embodiment, the wearable medical device comprises a plurality of ECG sensing electrodes configured to sense an ECG of a patient and an ECG acquisition circuit electrically coupled to a pair of the plurality of ECG sensing electrodes and configured to provide an amplified and conditioned analog ECG signal, a programmable attenuation/gain stage electrically coupled between a first gain stage and a second gain stage, an ADC electrically coupled to the ECG acquisition circuit to receive and digitize the amplified and conditioned analog ECG signal and provide a digitized ECG signal, and a signal conditioning and control unit electrically coupled to the ECG acquisition circuit and the ADC to receive and monitor the digitized ECG signal and to detect clipping of the amplified and conditioned analog ECG signal based upon the digitized ECG signal.