A method and system are provided for detecting arrhythmias in cardiac activity. The method the method and system, under control of one or more processors configured with specific executable instructions, obtain cardiac activity (CA) signals for a series of beats, build a QRS-T template based on an ensemble of QRS complexes within the CA signals, and subtract the QRS-T template from the CA signals to obtain QRS-T scrubbed CA signals. The method and system determine an atrial flutter (AFL) timing feature within the QRS scrubbed CA signals, and declare an AFL episode based on a relation between the AFL timing feature and an AFL cluster criteria.

Systems and methods are provided for evaluating physiological signal quality. A physiological signal, based on a series measurements on a subject, may be received. A quality of the physiological signal received may be evaluated, and an analysis of the physiological signal may be based at least in part on the quality evaluation.

An implantable device for analyzing a high frequency (HF) electrogram signal received from subcutaneous, above-rib pickup locations, the device including an implantable electrode for use inside a living body, and a can for subcutaneous implantation, the can including a signal pickup configured to pick up an electrogram signal including a high frequency (HF) component, a signal filter connected to the signal pickup and configured to measure a high frequency (HF) component from the electrogram signal, and an analyzer for analyzing the HF component of the electrogram signal, wherein the analyzer is configured to analyze at least one time-varying parameter of the HF component of the electrogram signal, and the signal filter is configured to measure the electrogram signal by using a signal picked up from at least two pickup locations which are both subcutaneous and above-rib. Related apparatus and methods are also described.

A system for secure physiological data acquisition and delivery is provided. The system includes a monitoring patch that includes a flexible backing; a pair of electrocardiographic electrodes included on a contact surface of each end of the flexible backing; a receptacle affixed to a non-contacting surface of the flexible backing and including an electro-mechanical docking interface for interfacing with a monitor recorder; a pair of flexible circuit traces affixed at each end of the flexible backing with each circuit trace connecting one of the electrocardiographic electrodes to the electro-mechanical docking interface; and a circuit operable to store an identifier associated with the patch and an encrypted password necessary to access physiological monitoring data obtained using the patch identified by that identifier, the circuit configured to provide via the electro-mechanical docking interface the password and the identifier to the monitor recorder.

The invention provides a body-worn patch sensor for simultaneously measuring a blood pressure (BP), pulse oximetry (SpO2), and other vital signs and hemodynamic parameters from a patient. The patch sensor features a sensing portion having a flexible housing that is worn entirely on the patient's chest and encloses a battery, wireless transmitter, and all the sensor's sensing and electronic components. It measures electrocardiogram (ECG), impedance plethysmogram (IPG), photoplethysmogram (PPG), and phonocardiogram (PCG) waveforms, and collectively processes these to determine the vital signs and hemodynamic parameters. The sensor that measures PPG waveforms also includes a heating element to increase perfusion of tissue on the chest.

The invention provides a body-worn patch sensor for simultaneously measuring a blood pressure (BP), pulse oximetry (SpO2), and other vital signs and hemodynamic parameters from a patient. The patch sensor features a sensing portion having a flexible housing that is worn entirely on the patient's chest and encloses a battery, wireless transmitter, and all the sensor's sensing and electronic components. It measures electrocardiogram (ECG), impedance plethysmogram (IPG), photoplethysmogram (PPG), and phonocardiogram (PCG) waveforms, and collectively processes these to determine the vital signs and hemodynamic parameters. The sensor that measures PPG waveforms also includes a heating element to increase perfusion of tissue on the chest.

System (10) for extracting a fetal heart rate from at least one maternal signal using a computer processor (26). The system includes sensors (12-18) attached to a patient to receive abdominal ECG signals and a recorder and digitizer (20) to record and digitize each at least one maternal signal in a maternal signal buffer (22A-22D). The system further includes a peak detector (40) to identify candidate peaks in the maternal signal buffer. The signal stacker (42) of the system stacks the divides at least one maternal signal buffer into a plurality of snippets, each snippet including one candidate peak and a spatial filter (44) to identify and attenuate a maternal QRS signal in the plurality of snippets of the maternal signal buffer, the spatial filter including at least one of principal component analysis and orthogonal projection, to produce a raw fetal ECG signal which is stored in a raw fetal ECG buffer. The system further includes a fetal QRS identifier (46) for identifying peaks in the raw fetal ECG buffer by at least one of principal component analysis and a peak-detector followed by rule based fQRS extraction and a merger (48) to calculate and merge the fetal heart rate from the identified peaks.

The present application discloses a method for identifying arrhythmia, a device for identifying arrhythmia, and a computer readable medium. The method includes: acquiring a type of arrhythmia to be identified; acquiring an ECG signal collected by an ECG acquisition device; detecting feature wave information in the ECG signal according to the type of arrhythmia to be identified; extracting a feature parameter from the denoised ECG signal and the feature wave information according to the type of arrhythmia to be identified; and identifying, by a classifier, an occurrence of the type of arrhythmia to be identified according to the feature parameter.

Disclosed are a method and a system for comprehensive evaluation of organic compound and heavy metal pollution in water based on fish electro-cardio, and fish electro-cardio signals are acquired by a real-time and miniaturized fish electro-cardio acquisition system which includes a real-time and miniaturized fish electro-cardio acquisition device, then a change of the electro-cardio index in a QT interval is obtained for assessing the corresponding organic compound in water to be tested, and a change of the electro-cardio index in a QRS interval is obtained for assessing the corresponding heavy metal in water to be tested. Based on fish electro-cardio acquired continuously on-line in real-time while keeping fish swims in a normal state and the water quality parameters acquired by various water quality sensors, water quality is online analyzed and water sudden pollution is online monitored and assessed.

A system for marking cardiac time intervals from heart valve signals includes a non-invasive sensor unit for capturing electrical signals and composite vibration objects, a memory containing computer instructions, and one or more processors coupled to the memory. The one or more processors causes the one or more processors to perform operations including separating a plurality of individual heart vibration events into heart valve signals from the composite vibration objects, and marking cardiac time interval from the heart valve signals by detecting individual heartbeats and processing cumulative energy within the individual heartbeat to set a threshold to set a marking point.