A61B5/044

Integrated analysis of electrophysiological data

A method can include analyzing non-invasive electrical data for a region of interest (ROI) of a patient's anatomical structure to identify one or more zones within the ROI that contain at least one mechanism of distinct arrhythmogenic electrical activity. The method also includes analyzing invasive electrical data for a plurality of signals of interest at different spatial sites within each of the identified zones to determine intracardiac signal characteristics for the plurality of sites within each respective zone. The method also includes generating an output that integrates the at least one mechanism of distinct arrhythmogenic electrical activity for the one or more zones with intracardiac signal characteristics for the plurality of sites within each respective zone.

Abnormality prediction device, abnormality prediction system, abnormality prediction method, biological information measuring device, biological information measuring system, and warning notification method

An abnormality prediction device includes a detection unit that detects detection information including at least one of biological information of a user and body motion information regarding a body motion of the user, a premonitory symptom determination unit (control unit) that determines whether a premonitory symptom has occurred in the user on the basis of the detection information detected by the detection unit and a premonitory pattern which is a pattern of the detection information according to the premonitory symptom of abnormality occurring in the user, and an information output unit (control unit) that, when the premonitory symptom determination unit determines that the premonitory symptom has occurred, outputs notification information indicating that occurrence of abnormality in the user is predicted.

MEASURING PSYCHOLOGICAL STRESS FROM CARDIOVASCULAR AND ACTIVITY SIGNALS
20170311862 · 2017-11-02 ·

A method and system for measuring psychological stress disclosed. In a first aspect, the method comprises determining R-R intervals from an electrocardiogram (ECG) to calculate a standard deviation of the R-R intervals (SDNN) and determining a stress feature (SF) using the SDNN. In response to reaching a threshold, the method includes performing adaptation to update a probability mass function (PMF). The method includes determining a stress level (SL) using the SF and the updated PMF to continuously measure the psychological stress. In a second aspect, the system comprises a wireless sensor device coupled to a user via at least one electrode, wherein the wireless sensor device includes a processor and a memory device coupled to the processor, wherein the memory device stores an application which, when executed by the processor, causes the processor to carry out the steps of the method.

Capacitive Electrocardiography (ECG) Physiological Monitoring Systems
20170303810 · 2017-10-26 ·

An electrocardiography (ECG) physiological monitoring system that includes an ECG sensor assembly having first and second capacitive electrodes that are configured to electrically couple to a subject's skin and detect ECG signals, a reference electrode that is configured to average the capacitance potential of the first and second electrodes, an electronics module that is in direct communication with the ECG sensor assembly and programmed to control the ECG sensor assembly, process ECG signals therefrom, and wirelessly transmit the processed ECG signals, and transmission conductors that are configured to provide a signal communication path between the electronics module and the ECG sensor assembly.

Capacitive Electrocardiography (ECG) Systems
20170303808 · 2017-10-26 ·

An electrocardiography (ECG) physiological monitoring system including an ECG sensor assembly further having at least a first capacitive electrode fabric layer configured to electrically couple to the subject's skin and detect ECG signals, a second reference electrode fabric layer that is configured to shield the first capacitive electrode fabric layer from electromagnetic interference, an electronics module that is in direct communication with the ECG sensor assembly and programmed to control the ECG sensor assembly, process ECG signals therefrom, and wirelessly transmit the processed ECG signals, and transmission conductors that are configured to provide a signal communication path between the electronics module and the ECG sensor assembly.

Medical devices for mapping cardiac tissue

Medical devices and methods for making and using medical devices are disclosed. An example method may include a method of identifying an activation time in a cardiac electrical signal. The method may include sensing a cardiac electrical signal, generating an approximation signal based at least in part on one or more parameters of the cardiac electrical signal, identifying a fiducial point on the approximation signal and determining, based at least in part on a timing of the fiducial point in the approximation signal, an activation time in the cardiac electrical signal.

Systems for monitoring brain activity and patient advisory device

A patient advisory device (“PAD”) and its methods of use. The PAD may be configured to alert the patient about an estimated brain state of the patient. In preferred embodiments, the PAD is adapted to alert the patient of the patient's brain state, which corresponds to the patient's propensity of transitioning into an ictal brain state, e.g., having a seizure. Based on the specific type of alert, the patient will be made aware whether they are highly unlikely to have a seizure for a given period of time, an elevated propensity of having a seizure, a seizure is occurring or imminent, or the patient's brain state is unknown.

Defibrillator display

An external defibrillator system is provided. The system includes: a graphical display; one or more sensors for obtaining data regarding chest compressions performed on a patient; and a controller configured to display on the graphical display numeric values for depth and/or rate of the chest compressions based upon the data from the one or more sensors. A method for using an external defibrillator including the steps of: obtaining data regarding chest compressions performed on a patient; and displaying on a graphical display screen of the defibrillator numeric values for depth and/or rate of the chest compressions based upon the data is also provided.

Cardiovascular monitoring device
09782098 · 2017-10-10 · ·

The present invention is related to a cardiovascular monitoring device including an inflatable cuff for surrounding a limb of a user, at least a first and a second electrodes, a controlling circuitry with a processor accommodated in a housing, and a display element. The controlling circuitry is configured to perform a blood pressure measurement through controlling a pressure inside the inflatable cuff, and perform an electrocardiogram measurement by using the electrodes. The processor is also configured to provide a diastolic blood pressure and a systolic blood pressure when the blood pressure measurement is performed, and to provide a heart rhythm information when the electrocardiogram measurement is performed. Further, for achieving a better and more stable contact between the electrodes and the user's skin, the present invention provides an improved structure with electrodes arranged thereon based on the conventional blood pressure monitor.

Automated Heart-Abdomen External Masseur
20170281464 · 2017-10-05 ·

A Cardio Pulmonary Resuscitation (CPR) device, consisting of two distinct masseurs for chest and abdomen and a monitoring system for displaying patient's vital symptoms. The chest masseur works in controllable depth and speed, while the abdominal masseur applies pressure on abdominal aorta and Inferior vena cava in a contradictory rhythm with the chest masseur rhythm. This action causes more effective massaging by preventing overflow of blood to non-vital organs and accelerating return of blood to heart.