Methods, systems, and apparatuses for detecting seizure events are disclosed, including a system for identification of an increased risk of a severe neurological event. The system may include an electroencephalogram (“EEG”) monitoring unit configured to collect EEG data from the patient during at least a postictal phase or one or more seizures and a processing unit configured to receive the EEG data from the EEG monitoring unit. The processing unit is configured to detect postictal EEG suppression from the EEG data and to identify the increased risk of the severe neurological event based on the detected postictal EEG suppression. Other embodiments are described and claimed.

An implantable medical system may provide atrioventricular synchronous pacing using the ventricular septal wall. The system may include a ventricular electrode coupled to an intracardiac housing or a first medical lead implantable in the ventricular septal wall of the patient's heart to deliver cardiac therapy to or sense electrical activity of the left ventricle of the patient's heart and a right atrial electrode coupled to a leadlet or second medical lead to deliver cardiac therapy to or sense electrical activity of the right atrium of the patient's heart. A right ventricular electrode may be coupled to the intracardiac housing or the first medical lead and implantable in the ventricular septal wall of the patient's heart to deliver cardiac therapy to or sense electrical activity of the right ventricle of the patient's heart.

A method to provide feedback, coaching, and ECG analysis during a cardiac event. A rescuer would typically be attempting cardiopulmonary resuscitation (CPR) and/or administering an electrical shock from a defibrillator and/or collecting electrocardiogram (ECG) data. The method includes a step of providing a data-generation device (e.g., a camera) and computing components. The computer is used to calculate distances on the fly using data generated by the data-generation device, such as a camera, that may be in motion. The method uses the computer to calculate movement of the chest of a patient and to assess outcomes. When CPR contaminates an ECG, the computer removes the unwanted contamination so that proper guidance to the rescuer can be delivered during CPR.

A method to provide feedback, coaching, and ECG analysis during a cardiac event. A rescuer would typically be attempting cardiopulmonary resuscitation (CPR) and/or administering an electrical shock from a defibrillator and/or collecting electrocardiogram (ECG) data. The method includes a step of providing a data-generation device (e.g., a camera) and computing components. The computer is used to calculate distances on the fly using data generated by the data-generation device, such as a camera, that may be in motion. The method uses the computer to calculate movement of the chest of a patient and to assess outcomes. When CPR contaminates an ECG, the computer removes the unwanted contamination so that proper guidance to the rescuer can be delivered during CPR.

Described herein are implantable medical devices and systems, and methods for use therewith, for reducing T-wave oversensing and arrythmia undersensing that occur due to inappropriate filtering of a signal indicative of cardiac electrical activity. A method includes obtaining a signal indicative of cardiac electrical activity, and using a first bandpass filter to produce a first filtered version thereof, using a second bandpass filter to produce a second filtered version thereof, wherein the first bandpass filter passes frequencies within a first frequency range, and the second bandpass filter passes frequencies within a second frequency range that is wider than the first frequency range. The method also includes selectively changing from using the first filtered version of the signal to monitor for a VS event, to using the second filtered version of the signal to monitor for a VS event, based on first criteria, and vice versa, based on second criteria.

Described herein are implantable medical devices and systems, and methods for use therewith, for reducing T-wave oversensing and arrythmia undersensing that occur due to inappropriate filtering of a signal indicative of cardiac electrical activity. A method includes obtaining a signal indicative of cardiac electrical activity, and using a first bandpass filter to produce a first filtered version thereof, using a second bandpass filter to produce a second filtered version thereof, wherein the first bandpass filter passes frequencies within a first frequency range, and the second bandpass filter passes frequencies within a second frequency range that is wider than the first frequency range. The method also includes selectively changing from using the first filtered version of the signal to monitor for a VS event, to using the second filtered version of the signal to monitor for a VS event, based on first criteria, and vice versa, based on second criteria.

A bio-signal data processing apparatus includes a communicator configured to receive electrocardiogram data from a bio-signal measuring apparatus, a recording unit configured to record the electrocardiogram data, a transmission delay determiner, and an output information generator. The transmission delay determiner is configured to generate transmission delay information by comparing a recording time of the electrocardiogram data with a reception time of the electrocardiogram data, detect whether or not a delay according to data transmission occurs, by considering the transmission delay information, and, when the delay is detected to occur, calculating delay time information that is calculated on the basis of the transmission delay information. The output information generator is configured to correct the electrocardiogram data by using the delay time information and generate output data of the electrocardiogram data corresponding to a user input.

A system (10) is for performing ECG measurements and comprises a probe (12) with an integrated one or more ECG electrodes (22) and an ultrasound sensing means (18), such as a transducer arrangement. The probe thus provides a mobile ECG electrode which can be sequentially moved between a set of different locations on the body for acquiring ECG measurements from different angles relative to the heart (i.e. different ‘leads’). Positioning of the probe in each required location is guided by a position guidance function which uses ultrasound data acquired by the ultrasound sensing means to locate the probe (with reference to an ultrasound body atlas (28) or map), and uses a stored set of reference body locations to guide a user with guidance information as to how to move the probe to arrive at a next target electrode location. In examples, the user may be guided through a sequence of electrode locations, with ECG data acquired at each one, thereby sequentially building up a set of standard ECG lead measurements.

A system (10) is for performing ECG measurements and comprises a probe (12) with an integrated one or more ECG electrodes (22) and an ultrasound sensing means (18), such as a transducer arrangement. The probe thus provides a mobile ECG electrode which can be sequentially moved between a set of different locations on the body for acquiring ECG measurements from different angles relative to the heart (i.e. different ‘leads’). Positioning of the probe in each required location is guided by a position guidance function which uses ultrasound data acquired by the ultrasound sensing means to locate the probe (with reference to an ultrasound body atlas (28) or map), and uses a stored set of reference body locations to guide a user with guidance information as to how to move the probe to arrive at a next target electrode location. In examples, the user may be guided through a sequence of electrode locations, with ECG data acquired at each one, thereby sequentially building up a set of standard ECG lead measurements.

A physiological information acquisition device includes: a reception interface configured to receive waveform data corresponding to a measured waveform of a physiological parameter of a subject from a sensor; a notifier configured to output an alarm indicating that the physiological parameter is not normally acquired; a processor configured to cause the notifier to output the alarm based on the waveform data; and a predictor configured to predict, based on the waveform data, a probability that the physiological parameter is erroneously calculated. The processor is configured to cause the notifier to perform a notification of at least one of a quality of the waveform data, a state of the sensor, and an action shall be taken by a user, based on the probability.