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 low-fidelity 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.

An implantable medical device (IMD) is configured with a pressure sensor. The IMD includes a housing, a pressure sensor and a fluid filled cavity. The housing has a diaphragm that is exposed to the environment outside of the housing. The pressure sensor has a pressure sensor diaphragm that is responsive to a pressure applied to the pressure sensor diaphragm and provides a pressure sensor output signal that is representative of the pressure applied to the pressure sensor diaphragm. The fluid filled cavity is in fluid communication with both the diaphragm of the housing and the pressure sensor diaphragm of the pressure sensor. The fluid filled cavity is configured to communicate a measure related to the pressure applied by the environment to the diaphragm of the housing to the pressure sensor diaphragm of the pressure sensor.

Sensing circuitry of an implantable medical device (IMD) system may sense a cardiac signal that varies according to a cardiac cycle of a patient. Processing circuitry of the IMD system may determine a series of consecutive cardiac cycle length metric values based on the sensed cardiac signal, identify a plurality of pairs of the cardiac cycle length metrics, each of the pairs of cardiac cycle length metrics separated by an integer n of the cardiac cycle length metrics, and construct a distribution of the pairs of cardiac cycle length metrics based on values of the cardiac cycle length metrics for each of the pairs. The processing circuitry may detect a sleep apnea episode of the patient based on one or more characteristics of the constructed distribution, and control communication circuitry of the IMD system to transmit an indication of the detected sleep apnea episode to the external computing device.

The invention relates to a computer-implemented medical data processing method for determining a heartbeat signal describing the heartbeat of a patient in the time domain, the method comprising executing, on a processor of a computer, steps of: a) acquiring, at the processor, acceleration measurement data describing an acceleration in the time domain of an anatomical body part measured on an external surface of the anatomical body part; b) determining, by the processor, component analysis data describing a result of an independent component analysis in the time domain of the acceleration measurement data; c) acquiring, at the processor, heartbeat template data describing template shapes of heartbeat in the time domain; d) determining, by the processor and based on the component analysis data and the heartbeat template data, recurrent shape data describing a recurrence of certain signal shapes in the component analysis data; e) determining, based on the recurrent shape data, heartbeat signal data describing a time series of the heartbeat.

The present disclosure describes a wearable computing device (WCD) in the form of a ring that can be worn on the finger of a human user.

Systems and methods for managing machine-generated medical alerts associated with physiological events detected from one or more patients are described herein. An alert management system may receive medical events detected from a patient and physiological data associated with patient historical medical alerts. The system comprises an alert prioritizer circuit to generate an event priority indicator for the detected medical event, using a comparison between the detected medical event and the physiological data associated with patient historical medical alerts. The system can identify prolific alert patients using the information about the historical medical alerts. The alert prioritizer circuit can adjust a priority of the detected medical event, and an output circuit can present a priority to a user or a process using the event priority indicator and the identification of prolific alert patient.

A medical device is configured to deliver a high-energy electrical stimulation pulse to a patient that produces a post-stimulation polarization signal. A cardiac signal analyzer of the medical device is configured to detect a cardiac electrical signal superimposed on the post-stimulation polarization signal, determine at least one feature of the detected cardiac electrical signal, compare the feature to criteria that differentiate an intrinsic cardiac event during the post-stimulation polarization signal from an evoked response signal and identify the detected cardiac electrical signal as the intrinsic cardiac event if the feature meets the criteria.

An arrangement may include a first system provided for processing physiological data representative of a beating heart. The first system may be adapted to execute a process for using at least one pattern to detect a notable finding in the physiological data and for sending the notable finding to a second system. The second system may be adapted to execute a process for analyzing the notable finding, for determining at least one new pattern to send to the first system, and for sending the at least one new pattern to the first system. The at least one new pattern may also include a rule that includes a set of conditions and an action to perform if the set of conditions is met.

A method for computerizing delineation and/or multi-label classification of an ECG signal, includes: applying a neural network to the ECG whereby labelling the ECG, and optionally displaying the labels according to time, optionally with the ECG signal.

Embodiments disclose a blood pressure parameter detection method. The method includes: detecting, by user equipment UE, an electrocardiogram ECG signal of a user by using a first ECG contact and a second ECG contact that are connected to an ECG detection circuit of the UE; when determining that the detected ECG signal matches a pre-stored reference ECG signal, enabling, by the UE, a photoplethysmogram PPG detection circuit, and detecting a PPG signal of the user by using a PPG detection point connected to the PPG detection circuit; and when determining that the detected PPG signal matches a pre-stored reference PPG signal, enabling, by the UE, a blood pressure detection application, and processing the detected ECG signal and the detected PPG signal by using the blood pressure detection application to obtain a blood pressure parameter of the user.