Provided herein is a method for diagnosing and treating a subject at risk for atrial fibrillation (AF) or related health conditions, the method including: collecting one or more physiological signals from the subject in a sleep state or an awake state; extracting time series data from the one or more physiological signals; performing dynamic analyses of the time series data using artificial intelligence, wherein the artificial intelligence calculates a series of dynamic measurements, said dynamic measurements being indicative of a probability of an onset of an abnormal atrial rhythm; providing an integrated personalized risk score including the dynamic measurements, wherein the integrated personalized risk score is indicative of a probability of an onset of AF in the subject; diagnosing the subject as being at risk for AF when the integrated personalized risk score exceeds a threshold value, wherein the threshold value is calculated by the artificial intelligence based on a library of stored data; and treating the diagnosed subject with an effective therapy to prevent or treat AF or AF-related health conditions.

A wearable therapeutic device is provided. The wearable therapeutic device includes a garment, and the garment includes an electrode and a conductive thread. A control unit is coupled to the conductive thread and identifies an electrical connection between a conductive surface of the electrode and the conductive thread, and an alarm module can provide information about the positioning of the electrode in the garment based on the electrical connection.

A wearable therapeutic device is provided. The wearable therapeutic device includes a garment, and the garment includes an electrode and a conductive thread. A control unit is coupled to the conductive thread and identifies an electrical connection between a conductive surface of the electrode and the conductive thread, and an alarm module can provide information about the positioning of the electrode in the garment based on the electrical connection.

Systems and method for monitoring patient physiological data are presented herein. In one embodiment, a physiological sensor and a mobile computing device can be connected via a cable or cables, and a processing board can be connected between the sensor and the mobile computing device to conduct advanced signal processing on the data received from the sensor before the data is transmitted for display on the mobile computing device.

Systems and method for monitoring patient physiological data are presented herein. In one embodiment, a physiological sensor and a mobile computing device can be connected via a cable or cables, and a processing board can be connected between the sensor and the mobile computing device to conduct advanced signal processing on the data received from the sensor before the data is transmitted for display on the mobile computing device.

There is provided a nerve activity monitoring method that includes receiving an input signal indicative of activity in a nerve of a subject; receiving physiological data indicative of physiological activity in the subject; establishing a relationship between the physiological data and the input signal; identifying a plurality of periodic portions in the input signal based on the relationship between the physiological data and the input signal; and outputting the periodic portions identified.

A system for monitoring vital signs, configured to be used in conjunction with a computerized mobile device, the system including: a cover sensor assembly adapted to be operably engaged with the computerized mobile device, the cover sensor assembly having integrated therein at least one physiological sensor; a physiological data acquisition module configured to generate a physiological parameter measurement descriptive of a physical stimulus received by the at least one physiological sensor; and a validation module configured to control a validity status of the physiological parameter measurement.

A wearable cardiac monitoring device comprises a processor; a electrocardiogram (ECG) signal collecting unit; a photoelectric signal collecting unit; and a power source configured to provide power to the processor, the ECG signal collecting unit and the photoelectric signal collecting unit simultaneously; wherein the processor determines whether the current mode is at a ECG collecting mode or a photoelectric collecting mode; wherein the ECG signal collecting unit collects user's ECG signals in the ECG collecting mode, and the photoelectric signal collecting unit collects photoelectric signals of the user's measured part under the illumination of light.

A system for controlling blood pressure includes a wearable interface having an internal contact surface, the wearable interface configured to at least partially encircle a first portion of a first limb of a subject, a sensing module carried by the wearable interface and configured to determine at least a change in blood pressure of the first limb of the subject, and an energy application module carried by the wearable interface and configured to apply energy of two or more types to the first limb of the subject.

A system for controlling blood pressure includes a wearable interface having an internal contact surface, the wearable interface configured to at least partially encircle a first portion of a first limb of a subject, a sensing module carried by the wearable interface and configured to determine at least a change in blood pressure of the first limb of the subject, and an energy application module carried by the wearable interface and configured to apply energy of two or more types to the first limb of the subject.