A system may comprise a first catheter having a first steerable segment and a second catheter disposed within the first catheter. The second catheter may have a second steerable segment. The system may also comprise an imaging element supported at a distal end of the second catheter, a coil reference sensor supported at a distal portion of the second catheter, and a processor in electrical communication with the coil reference sensor. The processor may be configured to determine a position of a distal portion of the first catheter with reference to the coil reference sensor.

Systems and methods are disclosed for assessing cardiovascular disease and treatment effectiveness based on adipose tissue. One method includes identifying a vascular bed of interest in a patient's vasculature; receiving a medical image of the patient's identified vascular bed of interest; identifying adipose tissue in the received medical image; receiving a geometric vascular model comprising a representation of the patient's identified vascular bed of interest; and computing an inflammation index associated with the geometric vascular model, using the identified adipose tissue.

A system for measuring haemodynamic parameters relating to a subject, the system comprising a DRS probe, a microscope probe, and a cap for use at a respective distal end of each of the probes, one at a time. The cap comprises a rigid flat contact surface for contact with a body surface of a subject, the contact surface comprising an aperture arranged such that, in use, the aperture is optically aligned with the optical probe. A rigid side wall surrounds the contact surface, defining a closed end and an open end, the closed end being formed by the contact surface. The open end is arranged to receive the probe in use. The side wall is arranged such that, in use, the cap is held in abutment against the probe. A securing portion is arranged to removably secure the cap to the probe.

A method of estimating a value associated with heart wall tension. The method comprises: using motion data recorded with a sensor in communication with the heart to identify motion in the heart; and estimating a value associated with heart wall tension based on the identified motion in the heart. The motion in the heart that forms the basis of the estimation may be a vibration in the heart wall. A heat monitoring system for carrying out the method of estimating a value associated with heart wall tension comprises a sensor configured to be placed in communication with the heart in order to identify motion in the heart; and a data processing device arranged to receive motion data from the sensor and to then carry out the steps of the method.

Disclosed herein are in vivo non-invasive methods and devices for the measurement of the hemodynamic parameters, such as blood pressure, cardiac output, stroke volume and vascular tone, of a subject, and the mechanical anelastic in vivo properties of the subject's 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 from the waveforms PPW and PUW, and the quality factor of the artery based upon the calculations. The disclosed methods and devices can be used to diagnose and treat cardiovascular disease in a subject in need thereof.

The present disclosure discloses a PPG sensor, an electronic device and a wearable device. The PPG sensor includes a first light-emitting assembly configured to emit a first optical signal; a second light-emitting assembly configured to emit a second optical signal; and a plurality of photoelectric sensors configured to receive the first optical signal and the second optical signal. A distance between the first light-emitting assembly and at least one of the plurality of photoelectric sensors is greater than a minimum one of the distances between the second light-emitting assembly and each of the plurality of photoelectric sensors.

A vital signal detection device includes: an antenna unit provided with a planar antenna of a MIMO radar on a front surface; and a display unit including a display panel on the front surface. The antenna unit is combined with the display unit or the display unit is combined with the antenna unit in a rotatable manner so that, from a state where the planar antenna and the display panel face in a direction ahead of the front surface, the planar antenna is turned to be directed to a direction of a back surface of the display unit opposite from the display panel. The portable non-contact vital signal detection device detects a vital signal on a side ahead of the front surface and a vital signal on a side in the direction of the back surface opposite from the front surface.

There is a need for a technique to determine a presence or absence of morbidity of a lifestyle-related disease and a possibility of future morbidity (risk of morbidity) in a non-invasive manner for a subject. The present disclosure provides a blood abnormality prediction device including, a prediction unit configured to predict a presence or absence of a blood abnormality in a subject on the basis of the information of the image that captures a crown portion of a capillary, wherein the prediction unit is configured to measure one or more selected from the group consisting of an entire width, an apex width, a loop diameter, a venous limb width, and an arterial limb width of the crown portion of the capillary on the basis of the information of the image, to predict the presence or absence of the blood abnormality in the subject from a result of the measurement.

Methods and systems are provided for assessing a vasculature of an individual. In an embodiment of a method, one or more angiographic parametric imaging (API) maps of the vasculature are obtained, wherein each API map of the one or more API maps encodes a hemodynamic parameter. A state of the vasculature is determined using a machine-learning classifier applied to the one or more API maps.

A system includes a processor circuit configured to receive a set of intravascular data from an intravascular sensor at a first location within a blood vessel. The processor circuit simultaneously receives a set of cardiovascular data from a heart monitor. After the intravascular sensor is moved from the first location to a second location, the processor circuit receives an additional set of intravascular data from the intravascular sensor and an additional set of cardiovascular data from the heart monitor. The processor circuit then determines a distance between the first location and the second location and determines a pulse wave velocity associated with the blood flow within the blood vessel based on the sets of intravascular data, the sets of cardiovascular data, and the distance. The processor circuit then outputs the pulse wave velocity to a display.