A61B5/02

Baroreflex vascular sympathetic nervous activity detection device, baroreflex vascular sympathetic nervous activity detection program, and baroreflex vascular sympathetic nervous activity detection method
11517207 · 2022-12-06 · ·

A vascular baroreflex-related sympathetic activity (VBRSA) detection device, a VBRSA detection program, and a VBRSA detection method capable of detecting in a simple and non-invasive manner VBRSA, which is sympathetic nervous activity of a blood vessel involved in a baroreflex function, are provided. The VBRSA detection device detects the VBRSA based on pulse wave data on a biological artery and a beat interval corresponding to the pulse wave data. The VBRSA detection device includes a VBRSA-series detecting unit that detects, as a VBRSA series indicative of VBRSA, a series where, from among the series in which the beat interval increases or decreases by n (n is a natural number 3 or more) beats consecutively, a correlation coefficient for the beat interval and pulse wave data is greater than any positive threshold up to the (n-1)-th beat and the correlation coefficient at the n-th beat falls to or below the threshold.

Device and method for liveness detection

A device for liveness detection is disclosed. The liveness detecting device has a simplest structure that principally comprises a light sensing unit and a signal processing module. Particularly, the signal processing module is configured for having a physiological feature extracting unit and a liveness detecting unit therein. The physiological feature extracting unit is adopted for extracting a first physiological feature from a PPG signal, or extracting a second physiological feature from the PPG signal that has been applied with a signal process. As such, through the first and second physiological features, the liveness detecting unit is able to determine whether a subject is a living body or not. The liveness detecting device does not use any camera unit and iPPG technology, such that the liveness detecting device has advantages of simple structure, low cost and immediately completing liveness detection.

PERFORMANCE MODE ADJUSTMENT BASED ON ACTIVITY DETECTION
20220378659 · 2022-12-01 ·

Disclosed herein are techniques related to device performance mode adjustment based on activity detection. In some embodiments, the techniques involve detecting, based on processing sensor data obtained from one or more gesture sensors, an activity in which a user of the one or more gesture sensors is engaged. The techniques further involve generating information corresponding to the detected activity in which the user of the one or more gesture sensors is engaged. The techniques also involve controlling, based on providing the generated information to a device for monitoring a physiological characteristic of the user, adjustment of a performance mode of the device for monitoring the physiological characteristic of the user.

APPARATUS AND METHOD FOR PREDICTING CARDIOVASCULAR RISK FACTOR

An apparatus for predicting a cardiovascular risk factor according to an embodiment includes a target cardiovascular risk factor predicting module for producing an initial prediction value for a target cardiovascular risk factor from a fundus image, at least one related cardiovascular risk factor predicting module for producing respective prediction values for at least one related cardiovascular risk factor from the fundus image, and a combining module for producing a final prediction value for the target cardiovascular risk factor on the basis of the initial prediction value for the target cardiovascular risk factor and the respective prediction values for the at least one related cardiovascular risk factor.

INTRACORONARY CHARACTERIZATION OF MICROVASCULAR OBSTRUCTION (MVO) AND MYOCARDIAL INFARCTION

Systems and apparatus are included that are configured to determine the effectiveness of apparatus and methods used to diagnose and unblock microvascular obstruction (MVO). An infusion system blocks antegrade flow for a short time and measures vascular pressure response as an infusate is infused in stepwise fashion at increasingly higher flowrates. During the antegrade flow occlusion, calculations of the real-time vascular resistance can be obtained using the formula R(t)=P(t)/Q.sub.mean(t) where: Q.sub.mean(t) is the flow mean values generated by the infusion system; P(t) is the distal pressure response in the vessel generated from the flow infusion; and R(t) is the calculated vascular resistance using the two other known parameters.

SYSTEMS AND METHODS FOR MONITORING THE FUNCTIONALITY OF A BLOOD VESSEL
20220378300 · 2022-12-01 · ·

A method for monitoring blood vessels, the method including using a system for monitoring blood vessel functionality to look, listen and feel blood vessel functionality by imaging a patient's body to obtain blood vessel geometry, imaging a patient body to obtain a shape of a location of the patient's body using image analysis, and analyzing vibrations of the patient's body at a location of the patient's body which includes the blood vessels. A method for monitoring blood vessel functionality, the method including illuminating one or more blood vessels through a patient's skin, capturing at least one image of the blood vessels, analyzing the at least one image, and calculating a parameter associated with blood vessel functionality based upon the image analysis. Related apparatus and methods are also described.

APPARATUS AND METHOD FOR ESTIMATING BIO-INFORMATION

An apparatus for estimating bio-information is provided. According to an embodiment of the present disclosure, the apparatus for estimating bio-information includes: a pulse wave sensor having a plurality of channels to measure a plurality of pulse wave signals from an object; a force sensor configured to obtain a force signal by measuring an external force exerted onto the pulse wave sensor; and a processor configured to: obtain a first feature for each channel by inputting the plurality of pulse wave signals for each channel and the force signal, into a first neural network model; obtain a weight for each channel by inputting the first feature to a second neural network model; obtain a second feature by applying the weight to the first feature for each channel by using the second neural network model; and obtain bio-information by inputting the second feature to a third neural network model.

Systems for indicating parameters in an imaging data set and methods of use

Systems and methods for aiding users in viewing, assessing and analyzing images, especially images of lumens and medical devices contained within the lumens. Systems and methods for interacting with images of lumens and medical devices, for example through a graphical user interface.

Medical device provided with sensors

The invention relates to a medical device (12) comprising an electrical measurement circuit (16), in which are connected at least two variable-impedance sensors (22), the impedance of which varies according to a detected physical quantity, an electrical power source (18) for supplying power to the electrical measurement circuit (16), an antenna (18) for emitting an electromagnetic field according to the impedance of the electrical measurement circuit (16), each of the sensors (22) being associated with a switch (24) for interrupting the current supply of the sensor (22) in said measurement circuit (16), the medical device (12) additionally comprising a system (26) for controlling the switches (24) in order to successively control the opening or the closing of the switches (24), according to determined configurations. The medical device (12) may in particular be applied to the human body or implanted within the human body.

Apparatus and method for determining calibration timing for blood pressure measurement in electronic device

An electronic device includes a sensor, a memory, and a display, and a processor. The processor is configured to determine bio-information and blood pressure information of a user measured through the sensor, determine reliability of calibration of the blood pressure information, based on at least one of elapsed time of the calibration, the bio-information, and the blood pressure information, determine, based on the reliability of the calibration, whether an event associated with the calibration occurs, and display a user interface (UI) to request another calibration, through the display, when the event is determined to have occurred.