Disclosed herein are in vivo non-invasive methods and devices for the measurement of the hemodynamic parameters, such as such as blood pressure, stroke volume, cardiac output, performance of the aortic and mistral heart valves, arterial blood velocity profile, blood viscosity and the blood flow induced arterial wall shear stress, hypertensive/hypotensive and vasodilation/vasocontraction state and aging status of a subject, and the mechanical anelastic in vivo properties of the arterial blood vessels. An exemplary method requires obtaining the peripheral pulse volume waveform (PVW), the peripheral pulse pressure waveform (PPW), and the peripheral pulse velocity waveform (PUW) from the same artery; calculating the time phase shift between the PPW and PVW, and the plot of pulse pressure versus pulse volume; and determining the blood pressures and power law components of the anelastic model from the waveforms PPW and PVW, the cardiac output and heart valves performances from the waveforms PPW and PUW, and the anelastic in vivo properties of the descending, thoracic and abdominal aorta. The disclosed methods and devices can be used to diagnose and treat cardiovascular disease in a subject in need thereof.

Disclosed herein are in vivo non-invasive methods and devices for the measurement of the hemodynamic parameters, such as such as blood pressure, stroke volume, cardiac output, performance of the aortic and mistral heart valves, arterial blood velocity profile, blood viscosity and the blood flow induced arterial wall shear stress, hypertensive/hypotensive and vasodilation/vasocontraction state and aging status of a subject, and the mechanical anelastic in vivo properties of the arterial blood vessels. An exemplary method requires obtaining the peripheral pulse volume waveform (PVW), the peripheral pulse pressure waveform (PPW), and the peripheral pulse velocity waveform (PUW) from the same artery; calculating the time phase shift between the PPW and PVW, and the plot of pulse pressure versus pulse volume; and determining the blood pressures and power law components of the anelastic model from the waveforms PPW and PVW, the cardiac output and heart valves performances from the waveforms PPW and PUW, and the anelastic in vivo properties of the descending, thoracic and abdominal aorta. The disclosed methods and devices can be used to diagnose and treat cardiovascular disease in a subject in need thereof.

A smartphone or other mobile computer device, general purpose or specialized, wherein the smartphone device is configured to actively control the configuration of one or more bladders, compartments, chambers or internal sipes and one or more sensors located in either one or both of a sole or a removable inner sole insert of the footwear of the user and/or located in an apparatus worn or carried by the user, glued unto the user, or implanted in the user. The one or more bladders, compartments, chambers, or sipes, and one or more sensors are configured for computer control. A sole and/or a removable inner sole insert for footwear, including one or more bladders, compartments, chambers, internal sipes and sensors in the sole and/or in a removable insert; or on an insole; all being configured for control by a smartphone or other mobile computer device, general purpose or specialized.

A smartphone or other mobile computer device, general purpose or specialized, wherein the smartphone device is configured to actively control the configuration of one or more bladders, compartments, chambers or internal sipes and one or more sensors located in either one or both of a sole or a removable inner sole insert of the footwear of the user and/or located in an apparatus worn or carried by the user, glued unto the user, or implanted in the user. The one or more bladders, compartments, chambers, or sipes, and one or more sensors are configured for computer control. A sole and/or a removable inner sole insert for footwear, including one or more bladders, compartments, chambers, internal sipes and sensors in the sole and/or in a removable insert; or on an insole; all being configured for control by a smartphone or other mobile computer device, general purpose or specialized.

Embodiments of the present technology may include a method for monitoring a health parameter of a person, the method including receiving a pulse wave signal that is generated from radio frequency scanning data that corresponds to radio waves that have reflected from below the skin surface of a person. In some embodiments, the radio frequency scanning data is collected through a two-dimensional array of receive antennas over a range of radio frequencies, extracting features from at least one of the pulse wave signal and a mathematical model generated in response to the pulse wave signal, applying the extracted features to a machine learning engine that includes a trained model, and outputting from the machine learning engine an indication of a health parameter of the person in response to the extracted features.

An apparatus for monitoring blood pressure of a user comprises a clip having a base with two side members adapted to releasably receive a portion of a body of the user therebetween with an adjustable pressure pad mounted to one of the two side members, spaced apart from the other of two side members by a separation distance, a magnetic field sensor mounted to one of the two side members with a magnet mounted to the other of the two side members opposite to the magnetic field sensor and spaced apart by the separation distance, a motor operably connected to the adjustable pressure pad wherein the separation distance is selectably adjustable by the motor.

A cardiac device is provided including a measuring electrode, a signal-processing unit and a post-processing unit. The measuring electrode is adapted to be positioned within the blood pool of a human or an animal heart, in order to measure a depolarization-signal. The signal-processing unit is connected to the measuring electrode and is adapted to remove signal components with frequencies lower than a cut-off frequency from the measured depolarization-signal. The post-processing unit is connected to the signal-processing unit and is adapted to determine, based on the Brody effect, a measure for a ventricular volume of the heart based on the modified depolarization-signal. Furthermore, a method for the determination of a measure for a ventricular volume of a heart and a computer program product for performing the steps of this method are provided.

A cardiac device is provided including a measuring electrode, a signal-processing unit and a post-processing unit. The measuring electrode is adapted to be positioned within the blood pool of a human or an animal heart, in order to measure a depolarization-signal. The signal-processing unit is connected to the measuring electrode and is adapted to remove signal components with frequencies lower than a cut-off frequency from the measured depolarization-signal. The post-processing unit is connected to the signal-processing unit and is adapted to determine, based on the Brody effect, a measure for a ventricular volume of the heart based on the modified depolarization-signal. Furthermore, a method for the determination of a measure for a ventricular volume of a heart and a computer program product for performing the steps of this method are provided.

Near-field coherent sensing (NCS) methods and systems are described herein. The techniques may be used to monitor vital signs is introduced herein. Multiple-input, multiple output near-field techniques may be used to characterize motion. In some embodiments, the methods and systems are used to measure cardiac motion. In some embodiments, the disclosed system is integrated into a seat, such as, for example, a car seat. The system be configured to monitor the vital signs of a seat occupant with multiple sensing points. The sensor can be integrated into the cushion and hence “invisible” to the user.

Near-field coherent sensing (NCS) methods and systems are described herein. The techniques may be used to monitor vital signs is introduced herein. Multiple-input, multiple output near-field techniques may be used to characterize motion. In some embodiments, the methods and systems are used to measure cardiac motion. In some embodiments, the disclosed system is integrated into a seat, such as, for example, a car seat. The system be configured to monitor the vital signs of a seat occupant with multiple sensing points. The sensor can be integrated into the cushion and hence “invisible” to the user.