Impedance devices with integrated circuit modules and method of using the same to obtain luminal organ information. In one embodiment, a device comprises an elongated body for at least partial insertion into a mammalian luminal organ and having a first conductor extending therethrough, a proximal electrical unit connected to the elongated body to deliver power along the first conductor, and a sensor substrate located at or near a distal end of the elongated body and comprising a circuit module operable and/or configured to direct the sizing portion to obtain sizing data and the pressure sensor to obtain pressure data, and facilitate transmission of the sizing data and/or the pressure data to the proximal electrical unit.

Impedance devices with integrated circuit modules and method of using the same to obtain luminal organ information. In one embodiment, a device comprises an elongated body for at least partial insertion into a mammalian luminal organ and having a first conductor extending therethrough, a proximal electrical unit connected to the elongated body to deliver power along the first conductor, and a sensor substrate located at or near a distal end of the elongated body and comprising a circuit module operable and/or configured to direct the sizing portion to obtain sizing data and the pressure sensor to obtain pressure data, and facilitate transmission of the sizing data and/or the pressure data to the proximal electrical unit.

A method for quantitatively estimating heat transfer energy parameters in an encephalon through discretization and numerical calculation comprises the steps of: acquiring composition data regarding a distribution of matter in the encephalon; acquiring cerebral temperature data regarding a temperature distribution in the encephalon; calculating a thermal conductivity distribution in the encephalon as a function of the composition data; calculating a distribution of conductive heat flows in the encephalon as a function of the cerebral temperature data and the thermal conductivity distribution using the “general heat conduction equation”.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, perform computational fluid dynamics analysis, facilitate assessment of risk of heart disease and coronary artery disease, enhance drug development, determine a CAD risk factor goal, provide atherosclerosis and vascular morphology characterization, and determine indication of myocardial risk, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.

A fatigue estimation system that includes: an information output device (imaging device) that outputs information (images) regarding the locations of the body parts of a subject; and an estimation device that estimates a posture of the subject based on the information output by the information output device, and estimates the fatigue level of the subject based on the posture estimated and the duration of the posture estimated.

A fatigue estimation system that includes: an information output device (imaging device) that outputs information (images) regarding the locations of the body parts of a subject; and an estimation device that estimates a posture of the subject based on the information output by the information output device, and estimates the fatigue level of the subject based on the posture estimated and the duration of the posture estimated.

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.

A system is provided including an intravascular catheter or guidewire and a processor circuit. The processor circuit determines a metric corresponding to the state of the sympathetic nervous system. The processor circuit then controls the intravascular catheter to alter the blood flow within the vessel. The processor circuit then determines another metric corresponding to the state of the sympathetic nervous system while the blood flow is altered. The processor circuit then provides an output based on the metrics obtained while the blood flow was not altered and while the blood flow was altered.

A system includes a processor circuit configured to receive a first set of data. The first set of data includes two pressure measurements and a flow measurement from the vasculature of a patient obtained while the sympathetic nervous system of the patient is not under stimulation. The processor circuit calculates a blood flow resistance value based on the first set of data. The processor circuit then receives a second set of data. The second set of data also includes two pressure measurements and a flow measurement from the vasculature of the patient obtained while the sympathetic nervous system of the patient is stimulated. The processor circuit calculates another blood resistance value based on the second set of data. The processor circuit then compares the two blood flow resistance values to determine whether a denervation procedure would be effective to mitigate the nerve system's response to stimulation. The processor circuit outputs to a screen display metrics obtained from the measurement procedure.

A system includes a processor circuit configured to receive a first set of data. The first set of data includes two pressure measurements and a flow measurement from the vasculature of a patient obtained while the sympathetic nervous system of the patient is not under stimulation. The processor circuit calculates a blood flow resistance value based on the first set of data. The processor circuit then receives a second set of data. The second set of data also includes two pressure measurements and a flow measurement from the vasculature of the patient obtained while the sympathetic nervous system of the patient is stimulated. The processor circuit calculates another blood resistance value based on the second set of data. The processor circuit then compares the two blood flow resistance values to determine whether a denervation procedure would be effective to mitigate the nerve system's response to stimulation. The processor circuit outputs to a screen display metrics obtained from the measurement procedure.