An aspect of the present invention is a loss-of-consciousness estimation apparatus including: an out-of-range data determination unit configured to execute out-of-range data determination processing for, using an amount correlated with a cerebral blood flow rate of an estimation target as a cerebral blood flow correlation amount, a time series of the cerebral blood flow correlation amount as a cerebral blood flow correlation amount time series, and a position in a time axis direction of data of the cerebral blood flow correlation amount time series as a time position, determining whether or not the cerebral blood flow correlation amount indicated by each piece of the data is out of range of a threshold region, which is a range corresponding to the time position of each piece of the data, based on the cerebral blood flow correlation amount time series; and a ventricular state estimation unit configured to estimate a ventricular state of the estimation target based on the determination result of the out-of-range data determination unit, in which, before the execution of the out-of-range data determination processing, the out-of-range data determination unit executes processing for determining the threshold region of each time position, which is processing for determining the threshold region that is to be determined according to a distribution of the data in a first period, which is a period of a first length including the time position at which the threshold region is determined.

An aspect of the present invention is a loss-of-consciousness estimation apparatus including: an out-of-range data determination unit configured to execute out-of-range data determination processing for, using an amount correlated with a cerebral blood flow rate of an estimation target as a cerebral blood flow correlation amount, a time series of the cerebral blood flow correlation amount as a cerebral blood flow correlation amount time series, and a position in a time axis direction of data of the cerebral blood flow correlation amount time series as a time position, determining whether or not the cerebral blood flow correlation amount indicated by each piece of the data is out of range of a threshold region, which is a range corresponding to the time position of each piece of the data, based on the cerebral blood flow correlation amount time series; and a ventricular state estimation unit configured to estimate a ventricular state of the estimation target based on the determination result of the out-of-range data determination unit, in which, before the execution of the out-of-range data determination processing, the out-of-range data determination unit executes processing for determining the threshold region of each time position, which is processing for determining the threshold region that is to be determined according to a distribution of the data in a first period, which is a period of a first length including the time position at which the threshold region is determined.

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.

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.

A medical device, such as an extra-cardiovascular implantable cardioverter defibrillator (ICD), senses R-waves from a first cardiac electrical signal by a first sensing channel and stores a time segment of a second cardiac electrical signal acquired by a second sensing channel in response to each sensed R-wave. The ICD determines morphology match scores from the stored time segments of the second cardiac electrical signal and, based on the morphology match scores, withholds detection of a tachyarrhythmia episode. In some examples, the ICD detects T-wave oversensing based on the morphology match scores and withholds detection of a tachyarrhythmia episode in response to detecting the T-wave oversensing.

A system, method and sensor device for providing an Electrocardiogram (ECG) and arrhythmia analysis. The sensor device being adapted for attaching to the body, the sensor unit comprising: a reusable electronic device comprising a signal processor and transmitter part, and a patch including at least one measuring electrode for measuring a biopotential.

Systems are provided for generating data representing electromagnetic states of a heart for medical, scientific, research, and/or engineering purposes. The systems generate the data based on source configurations such as dimensions of, and scar or fibrosis or pro-arrhythmic substrate location within, a heart and a computational model of the electromagnetic output of the heart. The systems may dynamically generate the source configurations to provide representative source configurations that may be found in a population. For each source configuration of the electromagnetic source, the systems run a simulation of the functioning of the heart to generate modeled electromagnetic output (e.g., an electromagnetic mesh for each simulation step with a voltage at each point of the electromagnetic mesh) for that source configuration. The systems may generate a cardiogram for each source configuration from the modeled electromagnetic output of that source configuration for use in predicting the source location of an arrhythmia.

In various embodiments, a first classification assigned to a periodic component of an electrical waveform that represents electrical activity in a patient's heart may be identified. A corresponding periodic component of a hemodynamic waveform that represents hemodynamic activity in the patient's cardiovascular system may be analyzed. The corresponding periodic component may be causally related to the periodic component of the electrical waveform. Based on the analysis, the previously-assigned classification may be assigned to the corresponding periodic component of the hemodynamic waveform in response to a determination, based on the analyzing, that the previously-assigned classification also applies to the corresponding periodic component. In a database of hemodynamic templates, a hemodynamic template associated with the previously-assigned classification may be updated to include one or more features of the corresponding periodic component of the hemodynamic waveform.

A portable electrocardiogram device comprises a sensor array and a user associated control device. The sensor array comprises a first processor, a memory storage and a first set of communication means. The user associated control device comprises indicator means, a second processor and a second set of communication means. The sensor array is configured to be carried by a wearing user, comprises a first set of sensors configured to face the skin of the wearing user, and the first set of sensors is attached to at least one undergarment. The first set of communication means comprises at least one wireless communication device. The first processor is arranged to repeatedly, with a predetermined measurement frequency, control at least one sensor of the sensor array to record an ECG when carried by the wearing user, store the ECG recording in the memory storage, and to control the at least one wireless communication device to transmit at least one ECG recording to the user associated control device. The user associated control device is configured to detect abnormal ECG in the at least one ECG recording. The user associated control device is configured to present an alarm by said indicator means in response to detecting at least one abnormal ECG. The measurement frequency of the sensor array is set based on any detected abnormal ECG.

A portable electrocardiogram device comprises a sensor array and a user associated control device. The sensor array comprises a first processor, a memory storage and a first set of communication means. The user associated control device comprises indicator means, a second processor and a second set of communication means. The sensor array is configured to be carried by a wearing user, comprises a first set of sensors configured to face the skin of the wearing user, and the first set of sensors is attached to at least one undergarment. The first set of communication means comprises at least one wireless communication device. The first processor is arranged to repeatedly, with a predetermined measurement frequency, control at least one sensor of the sensor array to record an ECG when carried by the wearing user, store the ECG recording in the memory storage, and to control the at least one wireless communication device to transmit at least one ECG recording to the user associated control device. The user associated control device is configured to detect abnormal ECG in the at least one ECG recording. The user associated control device is configured to present an alarm by said indicator means in response to detecting at least one abnormal ECG. The measurement frequency of the sensor array is set based on any detected abnormal ECG.