207 results about "Heart activity" patented technology

A mapping catheter is positioned in a heart chamber, and active electrode sites are activated to impose an electric field within the chamber. The blood volume and wall motion modulates the electric field, which is detected by passive electrode sites on the preferred catheter. Electrophysiology measurements, as well as geometry measurements, are taken from the passive electrodes and used to display a map of intrinsic heart activity.

Methods and systems for long term monitoring of one or more physiological parameters such as respiration, heart rate, body temperature, electrical heart activity, blood oxygenation, blood flow velocity, blood pressure, intracranial pressure, the presence of emboli in the blood stream and electrical brain activity are provided. Data is acquired non-invasively using ambulatory data acquisition techniques.

A mapping catheter is positioned in a heart chamber, and active electrode sites are activated to impose an electric field within the chamber. The blood volume and wall motion modulates the electric field, which is detected by passive electrode sites on the preferred catheter. Electrophysiology measurements, as well as geometry measurements, are taken from the passive electrodes and used to display a map of intrinsic heart activity.

An imaging and navigation system is disclosed herein. The imaging and navigation system includes a computer and an ultrasonic imaging device disposed at least partially within an ultrasound catheter. The ultrasonic imaging device is connected to the computer and is adapted to obtain a generally real time three-dimensional image. The imaging and navigation system also includes a tracking system connected to the computer. The tracking system is adapted to estimate a position of a medical instrument. The imaging and navigation system also includes a display connected to the computer. The display is adapted to depict the generally real time three-dimensional image from the ultrasonic imaging device and to graphically convey the estimated position of the medical instrument.

A method useful for evaluating abnormal body tremors wherein a subject is positioned onto a support surface and one or more components of the load exerted by the subject upon the support surface are measured. Simultaneously, the cardiac activity of the subject is also recorded and the time interval between each consecutive heartbeat is computed. The measured load output is modified to normalize the weight of the subject and then plotted against a modified frequency wherein each time interval between heartbeats represent a unit of time and a selected equal number of force measurement samples are interpolated between each heartbeat. The frequency spectrum analysis of such a modified power spectrum graph yields information about body tremor which can be compared to a prior analysis of the same subject or to the same analysis of a standard. The standard is created using the identical method upon, preferably, a sufficient number of subjects known to be free of abnormal body tremor to yield an average measure useful for comparison and diagnostic purposes.

A data transfer component receives cardiac data from a heart sensor while the data transfer component is electromechanically coupled with the heart sensor sensitive to heart activity. A standard electromechanical interface of the data transfer component and a counterpart of the heart sensor are repeatedly connectable and disconnectable. The received data is stored in the data transfer component. The stored data is transferred from the data transfer component to an external device while the data transfer component is electromechanically coupled with the external device by using a coupling between the standard electromechanical interface of the data transfer component and a counterpart of the external device which are repeatedly connectable and disconnectable.

An apparatus, system, and method are disclosed for detecting seizure symptoms in an individual 102. A sensor module 202 receives physiological data for an individual 102 from one or more sensors 110, 112, such as a heart activity sensor. A feature detection module 204 detects a predefined feature 500, 520, 530, 540 in the physiological data. The predefined feature 500, 520, 530, 540 is associated with a seizure or another medical condition. An alert module 206 broadcasts an alert in response to the feature detection module 204 detecting the predefined feature 500, 520, 530, 540.

Activity of an animal heart is detected with an apparatus comprising a housing (20) within which is contained electronic circuitry (32, 34, 36, 38, 40), a power supply (46) for the circuitry, and an indicator (42, 44) connected to the circuitry which can be operated by the circuitry to generate an alerting signal detectable by a user. In addition there is a pair of sensors (28) electrically connected to convey to the circuitry electrical signals detected by the sensors. The circuitry is operative to analyse signals received from the sensors, and upon determination that such signals are electrocardiographic signals derived from a heart beat to cause the indicator (42, 44) to operate so as to generate an alerting signal.

Apparatus and associated methodology for monitoring correlatable anatomical electrical and sound signals, such as electrical and audio signals produced by human heart activity, including (a) attaching to a selected, common anatomical site ECG (or other) electrode structure, and a multi-axial sound sensor, and (b) simultaneously collecting from adjacent that site both ECG(or other)-electrical and sound signals, where such sound signals arrive adjacent the site along multiple, angularly intersecting axes.

A personalized real-time automated cardiovascular monitoring system monitors abnormalities in a patient's cardiovascular activity data through the use of individually adjusted electrocardiogram Holter apparatus (Holter / ECG device) that provides an automatic medical diagnosis of cardiac abnormalities and generates abnormality alert signals representative of certain abnormalities in patient's cardiac activities. The signals are transmitted using a wireless network to a medical dispatcher center. A response is generated according to the abnormality detected. Individual parameters indicative of patient's cardio activities are personalized to allow for adjustments of chronic patients. A base Holter / ECG unit, includes the wireless / electric electrodes and their respective wireless / electric connections, and a Holter / ECG recording unit affixed to the base unit. Automatic real-time medical response may be provided based on automatic cardiac abnormality alert detection from the Holter / ECG data.

A heart activity sensor structure includes a flexible substrate being substantially non-conductive, at least two electrodes printed on one side of the flexible substrate and configured to be placed against a skin of a user in order to measure biometric signals related to heart activity, and an electrostatic discharge shield printed on opposite side the flexible textile substrate, compared to the printing of the at least two electrodes, for protecting the at least two electrodes from static electricity.

A system for monitoring a heart of a patient, the system includes: (i) a physiological data input interface, operative for receiving signals indicative of cardiac activity of the patient; (ii) a processor configured to process the signals to provide monitoring results; and (iii) an output interface operative to provide the monitoring results; wherein the monitoring results include information indicative of: (a) a heart rate of the patient during a monitoring period; (b) at least one first time period in which the heart rate of the patient exceeded a first threshold; and (c) at least one second time period in which the heart rate of the patient exceeded both the first threshold and a second threshold.

A method comprising a step (10) of acquiring a patient heart activity signal, a signal shaping step (11) comprising a step (19) of converting the analog signal into a digital signal, a step (12) of sensing a periodic wave in the signal, a step (13) of calculating time intervals between the periodic waves, a step (14) of determining digital time interval series, a step (15) of calculating a fractal dimension of the digital series, and a step (16) of calculating the depth of anesthesia on the basis of the fractal dimension.

The present invention provides a system for vehicle security, personalization, and cardiac activity monitoring of a driver wherein electrocardiography of a driver is monitored and registered which is used for identification of a person entering in the vehicle and personalization of vehicle based on user preferences thereby act as intruder detection towards vehicle security. In addition to registration the present invention also monitors cardiac activity of driver in a continuous and real time fashion without any intrusion to driver with the facility of generation of alert and making emergency call.

The use of machine learning for pattern recognition in magnetocardiography (MCG) that measures magnetic fields emitted by the electrophysiological activity of the heart is disclosed herein. Direct kernel methods are used to separate abnormal MCG heart patterns from normal ones. For unsupervised learning, Direct Kernel based Self-Organizing Maps are introduced. For supervised learning Direct Kernel Partial Least Squares and (Direct) Kernel Ridge Regression are used. These results are then compared with classical Support Vector Machines and Kernel Partial Least Squares. The hyper-parameters for these methods are tuned on a validation subset of the training data before testing. Also investigated is the most effective pre-processing, using local, vertical, horizontal and two-dimensional (global) Mahanalobis scaling, wavelet transforms, and variable selection by filtering. The results, similar for all three methods, were encouraging, exceeding the quality of classification achieved by the trained experts. Thus, a device and associated method for classifying cardiography data is disclosed, comprising applying a kernel transform to sensed data acquired from sensors sensing electromagnetic heart activity, resulting in transformed data, prior to classifying the transformed data using machine learning.

A personalized real-time automated cardiovascular monitoring system monitors abnormalities in a patient's cardiovascular activity data through the use of individually adjusted electrocardiogram Holter apparatus (Holter / ECG device) that provides an automatic medical diagnosis of cardiac abnormalities and generates abnormality alert signals representative of certain abnormalities in patient's cardiac activities. The signals are transmitted using a wireless network through a bi-directional wireless protocol to a medical dispatcher center. A response is generated according to the abnormality detected. Individual parameters indicative of patient's cardio activities are personalized to allow for adjustments of chronic patients. A base Holter / ECG unit, includes the wireless / electric electrodes and their respective wireless / electric connections, and a Holter / ECG recording unit affixed to the base unit. The Holter / ECG apparatus can be integrated as a chip into a wireless device, such device being in a wireless phone network. Automatic real-time medical response may be provided to detection of risks of adverse effects resulting from use of at least one medication, based on automatic cardiac abnormality alert detection from the Holter / ECG data.

This invention relates to a system and a kit for stress and relaxation management. A cardiac activity sensor (101) is used for measuring the heart rate variability (HRV) signal of the user and a respiration sensor (102) for measuring the respiratory signal of the user. The system contains a user interaction device (103) having an input unit (104) for receiving user specific data and an output unit for providing information output to the user. A processor (106) is used to assess the stress level of the user by determining a user related stress index. The processor is also used to monitor the user during a relaxation exercise by means of determining a relaxation index based on the measured HRV and respiratory signals, the relaxation index being continuously adapted to the incoming measured signals and based thereon the processor instructs the output unit to provide the user with biofeedback and support messages. Finally, the processor uses the user specific data as an input in generating a first set of rules defining an improvement plan for self-management of stress and relaxation. The first set of rules is adapted to trigger commands instructing the output unit to provide the user with motivation related messages. Also, at least a portion of said user specific data is further used to define a second set of rules indicating the user's personal goals.

A method and apparatus to detect irregular heart activity and estimate heart rate. In one embodiment, the heart rate estimation apparatus includes a group of six RR storage structures that receives an input of six successive RR interval values. The apparatus also includes a probability engine coupled to the group of RR storage structures, the probability engine is operable to calculate and output a mean value of the six RR interval values and a median value of the mean value and the six RR interval. In one embodiment, the apparatus carries out a method including the acts of determining a plurality of interval values between successive R waves; determining a mean of a group of six interval values; determining a median interval value for a group including the group of six interval values and the mean of the group of six interval values; and determining a running average of interval values between successive R waves using the median interval value.

In a method for acquisition of magnetic resonance images of the heart, MR signals of the heart are acquired using an imaging sequence, wherein the magnetization is inverted by an RF inversion pulse before the acquisition of the MR signals; and of the heart activity is detected, and the point in time of the switching of the RF inversion pulse dependent on the detected heart activity.

A method, comprising receiving at least one of a signal relating to a first cardiac activity and a signal relating to a first body movement from a patient; triggering at least one of a test of the patient's responsiveness, awareness, a second cardiac activity, a second body movement, a spectral analysis test of the second cardiac activity, and a spectral analysis test of the second body movement, based on at least one of the signal relating to the first cardiac activity and the signal relating to the first body movement; determining an occurrence of an epileptic event based at least in part on said one or more triggered tests; and performing a further action in response to said determination of said occurrence of said epileptic event. Further methods allow classification of epileptic events. Apparatus and systems capable of implementing the method.

An automated external defibrillator (AED) and methods for reducing the delay between termination of cardiopulmonary resuscitation (CPR) and administration of a defibrillating shock, among other disclosed apparatus and methods. In one embodiment, the AED includes an ECG sensor that obtains an ECG signal corresponding to patient heart activity and a prompting device that provides instructions regarding cardiopulmonary resuscitation. The AED also has a control system including a microprocessor programmed to run two rhythm analysis algorithms after instructions to terminate CPR. The two rhythm analysis algorithms analyze segments of the ECG signal for recognizing the presence of a shockable rhythm, with one algorithm having a delayed start relative to the other algorithm. The AED additionally includes a therapy generation circuit for treating the shockable rhythm with a defibrillation pulse in response to the control system determining the presence of a shockable rhythm.

A method for acquiring, externally or internally, for utility purposes a subject's anatomical heart-sound information including (a) for a selected time period, applying continuous, near-sensor-mechanical-resonance, vibratory stimulation to an acoustic sensor placed on or within the subject's anatomy, and (b) during that time period, detecting, as direct indications of heart sounds, changes in the sensor's physical resonance properties produced by heart sounds arriving at the sensor.

The invention discloses a device for classifying dynamic electrocardio data. The device comprises an electrocardio data collecting device, an electrocardio information database, an electrocardio index obtaining device, an electrocardio index screening device, a feature combination obtaining device, a classifier screening device and a classification result output device, wherein the electrocardio index screening device is used for carrying out difference analysis on electrocardio indexes to screen out electrocardio indexes with significance differences, the feature combination obtaining device is used for carrying out feature combination on at least two items in the electrocardio indexes, with the significance differences, screened by the electrocardio index screening device to obtain a plurality of feature combinations, the classifier screening device adopts a plurality of classifiers for testing the feature combinations obtained by the feature combination obtaining device so as to screen out the optimum classifier and the optimum feature combination, the classification result output device is used for receiving the personnel information of patients and pathological data relevant to the heart activity state, classifying the pathological data, relevant to the heart activities, of the patients according to the optimum feature combination and the optimum classifier screened out by the classifier screening device, and outputting the classification results.

A heart activity sensor structure includes a flexible textile substrate, and at least two electrodes with an electric insulation between each of the at least two electrodes. The at least two electrodes are applied on one side of the flexible textile substrate and configured to be placed against a skin of an exerciser in order to measure biosignals related to heart activity. The heart activity sensor also includes an electrostatic discharge shield applied on one side of the flexible textile substrate for protecting the at least two electrodes from static electricity.

Described is an apparatus for oxygenation and / or CO2 clearance of a patient, comprising: a flow source or a connection for a flow source for providing a gas flow, a gas flow modulator, a controller to control the gas flow, wherein the controller is operable to: receive input relating to heart activity and / or trachea gas flow of the patient, and control the gas flow modulator to provide a varying gas flow with one or more oscillating components with a frequency or frequencies based on the heart activity and / or trachea flow of the patient.