3234 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.

An image guided navigation system for navigating a region of a patient which is gated using ECG signals to confirm diastole. The navigation system includes an imaging device, a tracking device, a controller, and a display. The imaging device generates images of the region of a patient. The tracking device tracks the location of the instrument in a region of the patient. The controller superimposes an icon representative of the instrument onto the images generated from the imaging device based upon the location of the instrument. The display displays the image with the superimposed instrument. The images and a registration process may be synchronized to a physiological event.

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.

Systems and methods for management of physiological data, for example data obtained from monitoring an electrocardiogram signal of a patient. In one example use, digital data is obtained and episodes of arrhythmias are detected. Snapshots of the digitized ECG signal may be stored for later physician review. One or more techniques may be used to avoid recording of redundant data, while ensuring that at least a minimum number of episodes of each detected arrhythmia can be stored. The system may automatically tailor its data collection to the cardiac characteristics of a particular patient. In one technique, memory is allocated to include for each detectable arrhythmia a memory segment designated to receive ECG snapshots representing only the respective arrhythmia. A shared memory pool may receive additional snapshots of as the designated memory segments fill.

A system for reducing signal disturbances in ECG, which disturbances are caused by cardio-pulmonary resuscitation (CPR). The system includes a measuring device for measuring one or more signals derived from parameters such as compression depth, lung inflation etc. as a result of CPR. The parameter signals form one or more reference signals that correlate with the signal disturbances. One or more adaptive filters filter the signals out from the signal that constitutes the ECG signals so as to remove disturbances caused by CPR.

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.

A model EMG signal is produced from a measured EMG signal that includes a patient's EMG signal and ECG signal by processing the measured EMG signal to produce a logic signal that is in a first binary state in the absence of a P wave, a QRS complex and a T wave of an ECG cycle of the measured EMG signal and that is in a second binary state during at least one of the P wave, the QRS complex and the T wave of the ECG cycle. The measured EMG signal is processed to produce a first envelope signal. The model EMG signal is produced as a function of the first envelope signal when the logic signal is in the first binary state and the absence of the first envelope signal when the logic signal is in the second binary state.

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.

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.

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.

A system to use in combination with an ECG signal acquisition system connected to an arrangement of electrodes on a subject is provided. The system can include an antenna system in communication with the ECG signal acquisition system, a location tracking system operable to track a direction and a location of the antenna system relative to a reference, and an interface connected in communication with the ECG signal acquisition system and the location tracking system. The interface includes an output indicative of a direction of a source of the noise signal detected by the antenna system. A filter reduces an effect of the noise signal on an acquired ECG waveform data received by the ECG signal acquisition system.

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.

The invention is directed to improvements in diagnostic medical ultrasound contrast agent imaging. In a preferred embodiment, high pulse repetition frequency (HPRF) destruction pulses are fired at a rate higher than necessary for receiving returning echoes. Pulse parameters can also be changed between the plurality of contrast agent-destroying pulses. Other preferred embodiments of the invention are directed to simultaneous transmission of multiple beams of destruction pulses. Destruction frames that consist of a plurality of destruction pulses can be triggered and swept over the entire region of tissue being imaged and at a variety of focal depths from the transmitter. The destruction frames are fired at some time triggered from a timer or some fixed part of a physiological signal, such as an ECG signal. Other preferred embodiments of the invention are directed to continuous low power imaging pulses alternating with destruction pulses triggered at a fixed point of a physiological signal, and a comparison of the received signals from imaging pulses fired before and after the destruction pulses. Alternatively, destruction pulses are triggered at a fixed point on a physiological signal different from the fixed point of a physiological signal used to trigger imaging pulses. In another embodiment, triggered destruction frames are used to enable a comparison of imaging frames in order to determine physiological functions, such as perfusion of blood in cardiac tissue. Finally, in another embodiment, destruction pulses are combined with subharmonic imaging.

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.

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.

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.

A catheter with ablation and potential sensing capabilities is adapted for outer circumferential contact with an opening of a tubular region and inner circumferential contact within the tubular region. The catheter has a proximal electrode assembly and a distal electrode assembly for ablation of an ostium and potential sensing inside the pulmonary vein so that it is possible to obtain ECG signals inside a pulmonary vein when ablating around the ostium. The distal electrode assembly has an elongated member defining a longitudinal axis and a plurality of spines surrounding the member and converging at their proximal and distal ends, where each spine has at least one electrode and a curvature so that the spine bows radially outwardly from the member. The proximal electrode assembly has a proximal electrode assembly has an elongated member configured with a generally radial portion and a generally circular portion generally transverse to the catheter axis, where the generally circular portion comprising a plurality of electrodes. The control handle advantageously allows a user to manipulate a tensile member for changing the curvature of the spine.

An implantable cardiac stimulation device, such as a pacemaker or Implantable Cardioverter Defibrillator, is configured to automatically monitor the effects of antiarrhythmic drugs on cardiac electrical signals within a patient to verify the efficacy of the drugs taken. In one example, an analysis of patient cardiac electrical signals is performed by comparing the cardiac electrical signals with values representative of the effects of different classes of antiarrhythmic drugs. If the implantable device determines that the prescribed antiarrhythmic drugs have not been effective, a warning signal is generated. The warning signal is conveyed directly to the patient via a bedside monitor and to the patient's physician via remote connection to an external programmer device so that both are notified of the drug efficacy problems. Additionally, the implantable device may be configured to automatically adjust pacing and defibrillation control parameters in an attempt to compensate for any lack of efficacy in the drugs. For example, the aggressiveness of overdrive pacing may be increased. Alternatively, a drug pump is controlled to adjust the dosage of antiarrhythmic drugs if an initial dosage is found to be ineffective.

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.

Triggers and noise should be available as information in recorded electrograms in memories of implantable medical devices. Particularly where the recording of electrogram data is done in the far field, there will be considerable noise and the interpretation of ECG's reproduced from such recorded data will benefit from the storing of information regarding contemporaneous noise. By storing contemporaneous trigger data and noise data directly in the ECG data, recordings of the ECG data become more useful for physician use when played back through an external display system with minimal loss of ECG data, since out of range values are employed for the noise and trigger information and this non-ECG data is limited in size to no longer than individual point values of the ECG signal.

A method is provided for treating a heart arrhythmia 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 atrium and pulmonary veins, 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 catheter over the 4D image upon the interventional system; navigating the catheter within the cardiac chamber utilizing the 4D image; and using the catheter to treat the cardiac chamber, preferably with ablation.

A method for computerizing delineation and / or multi-label classification of an ECG signal, includes: applying a neural network to the ECG whereby labelling the ECG, and optionally displaying the labels according to time, optionally with 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.

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.