A system and method for display of subcutaneous cardiac monitoring data are provided. Cutaneous action potentials of a patient and other sensed data associated with the patient are recorded as electrocardiogram (EGC) data over a set time period using a subcutaneous insertable cardiac monitor. A set of R-wave peaks is identified within the ECG data and an R-R interval plot is constructed. A difference between recording times of successive pairs of the R-wave peaks in the set is determined. A heart rate associated with each difference is also determined. The pairs of the R-wave peaks and associated heart rate are plotted as the R-R interval plot. A diagnosis of cardiac disorder is facilitated based on patterns of the plotted pairs of the R-wave peaks, the associated heart rates in the R-R interval plot, and background data based on the other sensed data.

A medical device is configured to sense an electrical signal and determine that signal to noise criteria are met based on electrical signal segments stored in response to sensed electrophysiological events. The medical device is configured to determine an increased gain signal segment from one of the stored electrical signal segments in response to determining that the signal to noise criteria are met. The medical device determines a noise metric from the increased gain signal segment. The stored electrical signal segment associated with the increased gain signal segment may be classified as a noise segment in response to the noise metric meeting noise detection criteria.

According to the present disclosure, a heart rate detection method includes measuring an ECG waveform, calculating an R-R interval from the ECG waveform, calculating an instantaneous heart rate from the R-R interval, calculating an index based on the instantaneous heart rate, and determining whether the heart rate obtained from the R-R interval is to be displayed, by comparing the index to a reference value.

According to the present disclosure, a heart rate detection method includes measuring an ECG waveform, calculating an R-R interval from the ECG waveform, calculating an instantaneous heart rate from the R-R interval, calculating an index based on the instantaneous heart rate, and determining whether the heart rate obtained from the R-R interval is to be displayed, by comparing the index to a reference value.

A heartbeat detection device includes: a sensor data acquisition unit that acquires sensor data indicating an electrocardiographic waveform of a living body and outputs a sampling data sequence D(i) based on the sensor data; a first calculation unit that calculates a temporal difference value DY(i) of sampling data D(i) from the output sampling data sequence D(i) for each sampling time; a determination unit that determines a heartbeat time on the basis of a time at which a change in the calculated temporal difference value DY(i) exceeds a set threshold; a correction unit that corrects the heartbeat time by using a reference time; and a heart rate calculation unit that calculates a heart rate of the living body from the corrected heartbeat time.

A heartbeat detection device includes: a sensor data acquisition unit that acquires sensor data indicating an electrocardiographic waveform of a living body and outputs a sampling data sequence D(i) based on the sensor data; a first calculation unit that calculates a temporal difference value DY(i) of sampling data D(i) from the output sampling data sequence D(i) for each sampling time; a determination unit that determines a heartbeat time on the basis of a time at which a change in the calculated temporal difference value DY(i) exceeds a set threshold; a correction unit that corrects the heartbeat time by using a reference time; and a heart rate calculation unit that calculates a heart rate of the living body from the corrected heartbeat time.

A method of identifying and locating tissue abnormalities in a biological tissue includes irradiating an electromagnetic signal, via a probe defining a transmitting probe, in the vicinity of a biological tissue. The irradiated electromagnetic signal is received at a probe, defining a receiving probe, after the signal is scattered/reflected by the biological tissue. Blood flow information pertaining to the biological tissue is provided. Based on the received irradiated electromagnetic signal and the blood flow information, tissue properties of the biological tissue are reconstructed. A tracking unit determines the position of at least one of the transmitting probe and the receiving probe while the step of receiving is being carried out, the at least one probe defining a tracked probe. The reconstructed tissue properties are correlated with the determined probe position so that tissue abnormalities can be identified and spatially located.

Computer implemented methods and systems for detecting noise in cardiac activity are provided. The method and system obtain a far field cardiac activity (CA) data set that includes far field CA signals for a series of beats, overlay a segment of the CA signals with a noise search window, and identify turns in the segment of the CA signals. The method and system determine whether the turns exhibit a turn characteristic that exceed a turn characteristic threshold, declare the segment of the CA signals as a noise segment based on the determining operation, shift the noise search window to a next segment of the CA signal and repeat the identifying, determining and declaring operations; and modify the CA signals based on the declaring the noise segments.

Computer implemented methods and systems for detecting noise in cardiac activity are provided. The method and system obtain a far field cardiac activity (CA) data set that includes far field CA signals for a series of beats, overlay a segment of the CA signals with a noise search window, and identify turns in the segment of the CA signals. The method and system determine whether the turns exhibit a turn characteristic that exceed a turn characteristic threshold, declare the segment of the CA signals as a noise segment based on the determining operation, shift the noise search window to a next segment of the CA signal and repeat the identifying, determining and declaring operations; and modify the CA signals based on the declaring the noise segments.

The present disclosure relates to a device, method and system for calculating, estimating, or monitoring the blood pressure of a subject based on physiological features and personalized models. At least one processor, when executing instructions, may perform one or more of the following operations. A first signal representing a pulse wave relating to heart activity of a subject may be received. A plurality of second signals representing time-varying information on a pulse wave of the subject may be received. A personalized model for the subject may be designated. Effective physiological features of the subject based on the plurality of second signals may be determined. A blood pressure of the subject based on the effective physiological features and the designated model for the subject may be calculated.