A method for contactless vital sign monitoring includes transmitting, via a transceiver, radar signals for object detection. The method also includes generating a clutter removed channel impulse response from received reflections of the radar signals a portion of which are reflected off of a living object. The method further includes identifying a set of range bins corresponding to a position of the living object. Additionally, the method includes identifying a first set of signal components representing a respiration rate of the living object and a second set of signal components representing a heart rate of the living object.

A hemodynamic parameter (Hdp) monitoring system for diagnosing a health condition of a patient and for establishing Hdp marker values or Hdp surrogate marker values for purposes of comparison with Hdp values of a patient is provided. An Hdp monitor senses, measures, and records Hdp values exhibited by the patient during a basal or non-exposure period and furthermore Hdp values exhibited by the patient during or after an exposure period during which the patient is exposed to low-energy electromagnetic output signals. An electrically-powered generator is adapted to be actuated to generate said low-energy electromagnetic carrier output signals for exposing or applying to the patient such output signals during said exposure period.

Embodiments provide physiological measurement systems, devices and methods for continuous health and fitness monitoring. A wearable strap may detect reflected light from a user's skin, where data corresponding to the reflected light is used to automatically and continually determine a heart rate of the user. The wearable strap may monitor heart rate data including heart rate variability, resting heart rate, and sleep quality. The systems may include a processing module that generates an indicator of physical recovery based on the heart rate data. The recovery indicator may be used to determine strain related to an exercise routine, qualitative information on the user's health, whether to alter a user's exercise plan, and so forth.

Embodiments provide physiological measurement systems, devices and methods for continuous health and fitness monitoring. A wearable strap may detect reflected light from a user's skin, where data corresponding to the reflected light is used to automatically and continually determine a heart rate of the user. The wearable strap may monitor heart rate data including heart rate variability, resting heart rate, and sleep quality. The systems may include a processing module that generates an indicator of physical recovery based on the heart rate data. The recovery indicator may be used to determine strain related to an exercise routine, qualitative information on the user's health, whether to alter a user's exercise plan, and so forth.

Methods and systems are provided for automatically diagnosing an electrocardiogram (ECG) using a hybrid system comprising a rule-based system and one or more deep neural networks. In one embodiment, by mapping ECG data to a plurality of features using a convolutional neural network, mapping the plurality of features to a preliminary diagnosis using a decision network, and determining a diagnosis based on the ECG data and the preliminary diagnosis using the rule-based system, a more accurate diagnosis may be determined. In another example, by incorporating both a rule-based system and one or more deep neural networks into the hybrid system, the hybrid system may be more easily adapted for use in various contexts/communities, as the one or more deep learning networks may be trained using context/community specific ECG data.

Disclosed are an electronic device for generating workout types and a method of operating the electronic device. According to an embodiment, an electronic device includes: a memory and at least one processor connected to the memory, wherein the at least one processor is configured to: acquire a workout type name in response to a request for adding a workout type, recommend at least one data type based on the workout type name, generate a new workout type corresponding to the workout type name based on a data type selected from among the at least one recommended data type, and acquire workout measurement information corresponding to the selected data type in response to execution of the new workout type.

A heart monitoring system (100) comprises an array of force-sensitive resistors (10) spanning a sensor surface (50). Each resistor (10) is configured to change a respective resistance value (R) in accordance with an amount of static pressure (P) exerted on the sensor surface (50) at a respective location of the force-sensitive resistor (10) by a subject (200). An array of piezoelectric transducers (20) is interspersed among the array of force-sensitive resistors (10). Each transducer (20) is configured to generate 10 a respective time-dependent electrical signal (S) in accordance with respective vibrations (F) exerted on the sensor surface (50) at a respective location of the transducer (20) by the subject (200). A controller (30) is configured to determine a heart rate (H1) of the subject (200) based on a combination of the measured resistance values (R) of the force-sensitive 15 resistors (10) and the time-dependent electrical signals (S) of the piezoelectric transducers (20).

A heart monitoring system (100) comprises an array of force-sensitive resistors (10) spanning a sensor surface (50). Each resistor (10) is configured to change a respective resistance value (R) in accordance with an amount of static pressure (P) exerted on the sensor surface (50) at a respective location of the force-sensitive resistor (10) by a subject (200). An array of piezoelectric transducers (20) is interspersed among the array of force-sensitive resistors (10). Each transducer (20) is configured to generate 10 a respective time-dependent electrical signal (S) in accordance with respective vibrations (F) exerted on the sensor surface (50) at a respective location of the transducer (20) by the subject (200). A controller (30) is configured to determine a heart rate (H1) of the subject (200) based on a combination of the measured resistance values (R) of the force-sensitive 15 resistors (10) and the time-dependent electrical signals (S) of the piezoelectric transducers (20).

A pulse sensor is capable of measuring a pulse rate of a wearer at a peripheral artery. In an embodiment, the pulse sensor includes a magnet supported to move responsive to an arterial pulse and a magnetometer configured to detect changes in a magnetic field produced by the magnet. The magnet may include a plurality of ferromagnetic particles disposed in or on a flexible substrate configured to be held adjacent to human skin subject to arterial palpation and a magnetic sensor configured to sense movement of the ferromagnetic particles. A system and method may measure hydration includes using a pulse sensor to measure pulse rate and modulation. The wearer is prompted when the pulse rate and pulse modulation indicate a response to dehydration of the wearer.

A pulse sensor is capable of measuring a pulse rate of a wearer at a peripheral artery. In an embodiment, the pulse sensor includes a magnet supported to move responsive to an arterial pulse and a magnetometer configured to detect changes in a magnetic field produced by the magnet. The magnet may include a plurality of ferromagnetic particles disposed in or on a flexible substrate configured to be held adjacent to human skin subject to arterial palpation and a magnetic sensor configured to sense movement of the ferromagnetic particles. A system and method may measure hydration includes using a pulse sensor to measure pulse rate and modulation. The wearer is prompted when the pulse rate and pulse modulation indicate a response to dehydration of the wearer.