ALIVECOR, INC.

Embodiments of the present disclosure utilize DNNs for ECG interpretation, where original ECG waveforms are directly ingested by the DNNs using paired interpretation labels for training, without the need for explicatory feature extraction or rule-based criteria.

Disclosed are devices and methods for determining and memorializing chest electrode placement locations on a user. The device utilizes two datum reference points in the patient's anatomy, the Jugular notch and the Xiphoid process, which are easily found and repeatable and which serve to ensure the device is in the correct position to memorialize chest electrode placement locations. The device may comprise a first plate and a second plate operatively coupled to the first plate so that the second plate slides along a vertical axis of the first plate and the first plate slides along a vertical access of the second plate. The device may further comprise a template grid having a plurality of cells printed thereon. The template grid may have a coordinate system for identifying each of the plurality of cells. The template grid may be modified to indicate a set of chest electrode placement locations on the user.

Embodiments of the present disclosure provide a monitoring device that combines blood pressure, SpO2, and ECG monitoring functionality into a single handheld device and can measure these parameters simultaneously. The monitoring device may comprise a first sensor comprising an electrode to measure electrical signals corresponding to cardiac activity of a user's heart and a second sensor comprising an electrode as well as an optical sensor to perform a PPG and measure an amount of light absorbed by the blood of the user concurrently with measurement of the electrical signals. The optical sensor may generate a blood pressure signal and an oxygen saturation signal based at least in part on the amount of light absorbed by the blood of the user. The optical sensor may include a neural network trained to estimate blood pressure based on PPG measurements and demographic information of the user, as discussed in further detail herein.

A smart watch to detect a presence of an arrhythmia of a user is disclosed. The smart watch comprising: a processing device and a photoplethysmography (“PPG”) sensor operatively coupled to the processing device, an ECG sensor comprising two or more ECG electrodes and operatively coupled to the processing device, a display operatively coupled to the processing device, and a memory, operatively coupled to the processing device. The memory may have instructions stored thereon that, when executed by the processing device, cause the processing device to: receive PPG data from the PPG sensor, receive ECG data from the ECG sensor, detect, based on the PPG data and the ECG data simultaneously, the presence of an arrhythmia, and provide one or more recommendations to the user based on the PPG data and the ECG data.

Embodiments of the present disclosure provide a mobile electrocardiogram (ECG) sensor comprising an electrode assembly comprising electrodes, wherein the electrode assembly senses heart-related signals when in contact with a body of a user, and produces electrical signals representing the sensed heart-related signals. The ECG sensor further comprises a processing device, operatively coupled to the electrode assembly, the processing device to provide the sensed heart-related signals to a machine learning module trained to predict a twelve-lead QT interval (QTc) value from the mobile ECG sensor comprising less than twelve leads. The ECG sensor also comprises a housing containing the electrode assembly and the processing device.

Disclosed herein are devices, systems, methods and platforms for continuously monitoring the health status of a user, for example the cardiac health status. The present disclosure describes systems, methods, devices, software, and platforms for continuously monitoring a user's health-indicator data (for example and without limitation PPG signals, heart rate or blood pressure) from a user-device in combination with corresponding (in time) data related to factors that may impact the health-indicator (“other-factors”) to determine whether a user has normal health as judged by or compared to, for example and not by way of limitation, either (i) a group of individuals impacted by similar other-factors, or (ii) the user him/herself impacted by similar other-factors.

Described herein are software platforms (or “platforms”), systems and methods for providing effective healthcare to a patient while increasing the efficiency of a healthcare provider. A healthcare provider system may receive physiological data of a user and generate an interface to provide a visualization of the physiological data and identifying information of the user. The system may analyze the physiological data to generate a risk score for the user based at least in part on the physiological data and transmit to a device of the user, a notification comprising the risk score.

Disclosed are devices and methods for determining and memorializing chest electrode placement locations on a user. The device utilizes two datum reference points in the patient's anatomy, the Jugular notch and the Xiphoid process, which are easily found and repeatable and which serve to ensure the device is in the correct position to memorialize chest electrode placement locations. The device may comprise a first plate and a second plate operatively coupled to the first plate so that the second plate slides along a vertical axis of the first plate and the first plate slides along a vertical access of the second plate. The device may further comprise a template grid having a plurality of cells printed thereon. The template grid may have a coordinate system for identifying each of the plurality of cells. The template grid may be modified to indicate a set of chest electrode placement locations on the user.

A mobile electrocardiogram (ECG) device is described, comprising an electrode assembly comprising electrodes that sense heart-related signals when in contact with a body of a user, and produce electrical signals representing the sensed heart-related signals. The mobile ECG device further comprises a light-emitting device to facilitate an optimal placement of the electrode on the body of the user. The mobile ECG device further comprises a housing containing the electrode assembly, the converter assembly, the transmitter, and the light-emitting device. A first electrode of the electrode assembly forms a first side of the housing and comprises an opening through which the light-emitting device provides the UV light.

Embodiments of the present disclosure provide a monitoring device that combines blood pressure, SpO2, and ECG monitoring functionality into a single handheld device and can measure these parameters simultaneously. The monitoring device may comprise a first sensor comprising an electrode to measure electrical signals corresponding to cardiac activity of a user's heart and a second sensor comprising an electrode as well as an optical sensor to perform a PPG and measure an amount of light absorbed by the blood of the user concurrently with measurement of the electrical signals. The optical sensor may generate a blood pressure signal and an oxygen saturation signal based at least in part on the amount of light absorbed by the blood of the user. The optical sensor may include a neural network trained to estimate blood pressure based on PPG measurements and demographic information of the user, as discussed in further detail herein.