A three-dimensional morphological vessel model (20) can be obtained by assigning diameters (14,15) along the vessel derived from a two-dimensional morphological projection (10) at locations in the three-dimensional model defined by the temporal locations (21,22) of a trackable instrument (5). An apparatus (7), a system (1) and a method (100) for use of the system (1) in characterizing the vessel of a living being (2) by rendering a three-dimensional morphological vessel model (20) are presented.

Example blood pressure apparatus using active materials and related methods are described herein. An example apparatus includes a band to be worn around a limb of a user, an active material carried by the band and a controller to: (1) apply an activation signal to the active material to constrict blood flow in the limb, and (2) reduce the activation signal to allow blood flow in the limb.

The exemplified methods and systems provide a phase space volumetric object in which the dynamics of a complex, quasi-periodic system, such as the electrical conduction patterns of the heart, or other biophysical-acquired signals of other organs, are represented as an image of a three dimensional volume having both a volumetric structure (e.g., a three dimensional structure) and a color map to which features can be extracted that are indicative the presence and/or absence of pathologies, e.g., ischemia relating to significant coronary arterial disease (CAD). In some embodiments, the phase space volumetric object can be assessed to extract topographic and geometric parameters that are used in models that determine indications of presence or non-presence of significant coronary artery disease.

The exemplified methods and systems provide a phase space volumetric object in which the dynamics of a complex, quasi-periodic system, such as the electrical conduction patterns of the heart, or other biophysical-acquired signals of other organs, are represented as an image of a three dimensional volume having both a volumetric structure (e.g., a three dimensional structure) and a color map to which features can be extracted that are indicative the presence and/or absence of pathologies, e.g., ischemia relating to significant coronary arterial disease (CAD). In some embodiments, the phase space volumetric object can be assessed to extract topographic and geometric parameters that are used in models that determine indications of presence or non-presence of significant coronary artery disease.

An apparatus and method for calculating a volume flow rate of oxygenated blood is provided. The apparatus includes a support configured to be removable adhered at a target region; an optical sensor secured to the support to detect an absorption of light by blood flowing through the target region for determining a blood oxygenation percentage; a magnetic sensor secured to the support to detect changes in a magnetic field in the target region for determining a flow rate; and a processor coupled to at least one of the optical sensor and the magnetic sensor for determining the blood oxygenation percentage, the flow rate, and a volume flow rate of oxygenated blood flowing through the target region based on the blood oxygenation percentage and the flow rate.

An apparatus and method for calculating a volume flow rate of oxygenated blood is provided. The apparatus includes a support configured to be removable adhered at a target region; an optical sensor secured to the support to detect an absorption of light by blood flowing through the target region for determining a blood oxygenation percentage; a magnetic sensor secured to the support to detect changes in a magnetic field in the target region for determining a flow rate; and a processor coupled to at least one of the optical sensor and the magnetic sensor for determining the blood oxygenation percentage, the flow rate, and a volume flow rate of oxygenated blood flowing through the target region based on the blood oxygenation percentage and the flow rate.

A data transmitting apparatus include a measurement control unit to measure an amount relating to biological information; an encryption key generation control unit to generate, as an encryption key, information calculated from first shared information and second shared information that is shared with a receiving apparatus; an encryption control unit to encrypt the biological information with the encryption key and generate encryption data; a packet generation control unit to generate a one-way transmission packet that includes the first shared information and the encryption data; and a transmitter to transmit the packet.

The impedance cardiography device comprises an impedance measuring unit, connected to the human body to be measured, a differentiator, a comparator and a microcontroller integrated with an analog-to-digital converter, characterized by that the device further comprises two peak voltage detection units with different polarities (positive and negative), the strobing outputs of them being connected to the digital (binary) inputs of the microcontroller and the analog hold outputs to the inputs of the analog-to-digital converter.

The impedance cardiography device comprises an impedance measuring unit, connected to the human body to be measured, a differentiator, a comparator and a microcontroller integrated with an analog-to-digital converter, characterized by that the device further comprises two peak voltage detection units with different polarities (positive and negative), the strobing outputs of them being connected to the digital (binary) inputs of the microcontroller and the analog hold outputs to the inputs of the analog-to-digital converter.

A big data artificial intelligence computer system is used for medical care connecting to sensor-equipped smartphones of users of footwear. The footwear has smartphone-connected soles with sensors and configurable structures. The smartphone is also connected to sensors located on the users' body, including proximate to its center of gravity and/or on the head. The web and/or cloud-based computer system is configured to use the big data techniques of machine learning in a database compiled from millions of smartphones to perform operations on billions of data sets from the smartphones of the footwear users. The correlations found from the big data operations provide solutions to medical problems of the footwear users involving their body structure and/or function. The solutions are implemented by configuring the users' footwear soles, including active configuration, including during running and/or walking to optimize corrections to the structure and/or function of their bodies.