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 continuous glucose monitoring system may utilize externally sourced information regarding the physiological state and ambient environment of its user for externally calibrating sensor glucose measurements. Externally sourced factory calibration information may be utilized, where the information is generated by comparing metrics obtained from the data used to generate the sensor's glucose sensing algorithm to similar data obtained from each batch of sensors to be used with the algorithm in the future. The output sensor glucose value of a glucose sensor may also be estimated by analytically optimizing input sensor signals to accurately correct for changes in sensitivity, run-in time, glucose current dips, and other variable sensor wear effects. Correction actors, fusion algorithms, EIS, and advanced ASICs may be used to implement the foregoing, thereby achieving the goal of improved accuracy and reliability without the need for blood-glucose calibration, and providing a calibration-free, or near calibration-free, sensor.

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.

There is provided a device for measuring fatigue of a person, the device comprising a frame configured to be worn within the mouth of the person, a microphone mounted within the frame and configured to measure sound data, and a cavity located within the frame and adjacent to the microphone, wherein the cavity does not communicate with the environment surrounding the frame. There is also provided a computer-implemented method for determining a fatigue metric representing a level of physical fatigue of a person

A wearable device is provided. The wearable device includes a first sensor having a plurality of electrodes, and at least one processor electrically connected to the first sensor. The at least one processor may obtain a first electrocardiogram signal by using a first sensor in a state where the wearable device is worn on a user's body, obtain an electromyogram signal from the first electrocardiogram signal, obtain a second electrocardiogram signal by filtering the electromyogram signal from the first electrocardiogram signal, determine the wearing state of the wearable device on the basis of the intensity of the electromyogram signal and the quality of the second electrocardiogram signal, and output a guide on the wearing state on the basis of a determination result.

In an embodiment, an electrogram (EGM) processing system provides, for display by a head-mounted display (HMD) worn by a user, a holographic rendering of intracardiac geometry. The HMD also displays an electrogram waveform. The EGM processing system determines a gaze direction of the user by processing sensor data from the HMD. The HMD displays a marker overlaid on the electrogram waveform at a location based on an intersection point between the gaze direction and the electrogram waveform. The EGM processing system determines a measurement of the electrogram waveform using the location of the marker. The HMD displays the measurement of the electrogram waveform.

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.

According to an aspect, there is provided a computer-implemented method for determining a heart rate of a subject, the method comprising: receiving data representing a signal generated by a pressure sensor configured to be placed on a suprasternal notch of a subject, the data representing a first component of the signal comprising respiratory information associated with the subject and/or a second component of the signal comprising cardiac information associated with the subject; determining, by applying a first algorithm to the data, a respiration parameter of the subject; applying at least one filter to the data to obtain first filtered data, the at least one filter comprising a first filter to attenuate the first component of the signal in the data based on the determined respiration parameter; and determining a heart rate of the subject by applying a second algorithm to the first filtered data.

A system is provided for monitoring glucose in a host, including a continuous glucose sensor that produces a data stream indicative of a host's glucose concentration and an integrated receiver that receives the data stream from the continuous glucose sensor and calibrates the data stream using a single point glucose monitor that is integral with the integrated receiver. The integrated receiver obtains a glucose value from the single point glucose monitor, calibrates the sensor data stream received from the continuous glucose sensor, and displays one or both of the single point glucose measurement values and the calibrated continuous glucose sensor values on the user interface.

A method for monitoring thoracic tissue. The method comprises intercepting reflections of electromagnetic (EM) radiation reflected from thoracic tissue of a patient in radiation sessions during a period of at least 24 hours, detecting a change of a dielectric coefficient of the thoracic tissue by analyzing respective the reflections, and outputting a notification indicating the change. The reflections are changed as an outcome of thoracic movements which occur during the period.