There is provided a computer implemented method for generating a three dimensional (3D) image based of fluorescent illumination, comprising: receiving in parallel by each of at least three imaging sensors positioned at a respective parallax towards an object having a plurality of regions with fluorescent illumination therein, a respective sequence of a plurality of images including fluorescent illumination of the plurality of regions, each of the plurality of images separated by an interval of time; analyzing the respective sequences, to create a volume-dataset indicative of the depth of each respective region of the plurality of regions; and generating a 3D image according to the volume-dataset.

A bio-information measuring apparatus bio-information measuring method are provided. The bio-information measuring apparatus includes: a pulse wave obtainer configured to obtain a pulse wave signal, and a processor configured to correct a feature of the obtained pulse wave signal based on a variation in an amplitude of the obtained pulse wave signal, and to measure bio-information based on the corrected feature.

An apparatus for measuring a bio-signal includes a pulse wave sensor that may measure a pulse wave signal, of an object of interest, that is non-equidistantly sampled based on a sampling rate of the pulse wave sensor, and a processor that may identify, using a sampling profile, a first interval based on a health index to be measured. The processor may identify, using the sampling profile, a second interval based on the health index to be measured. The processor may set the sampling rate of the pulse wave sensor to a first sampling rate in the first interval. The processor may set the sampling rate of the pulse wave sensor to a second sampling rate, that is less than the first sampling rate, in the second interval.

A method for measuring and analyzing blood pressure using PPG includes receiving, by a computer, a PPG signal from a finger of a subject, dividing, by the computer, a normalization pulse wave signal derived from the received PPG signal into one or more predetermined windows, extracting, by the computer, a maximum lower amplitude value from one of the respective divided windows, extracting, by the computer, a target feature pattern from the extracted maximum lower amplitude value, deriving, by the computer, a first target unique vector and a second target unique vector with respect to the target feature pattern, using a linear discriminant analysis (LDA) algorithm to display the first target unique vector and the second target unique vector of the target feature pattern on 2-dimensional (2D) graph, and providing, by the computer, a blood pressure state of the subject, using the 2D graph.

Systems and methods for control and signal processing in variable inductance, resonant circuit monitoring devices are disclosed, including improved techniques for energizing the sensor resonant circuit using excitation signal frequency sweeps, techniques for validating sensor readings and characterizing sensor frequency outputs to measured physical parameters and improved techniques for isolating background electromagnetic noise and distinguishing knows from sensor measurement signals.

A method of training an artificial intelligence model for estimating a hemoglobin A1c (HbA1c) level includes collecting patient information including exercise information and bioinformation of a patient, collecting an actual HbA1c level of the patient, converting the collected patient information and actual HbA1c level into a single standardized data structure format, and training an artificial intelligence model using the converted patient information and actual HbA1c level to generate an artificial intelligence model for estimating an HbA1c level. The bioinformation includes at least one of a blood sugar level, a blood pressure, a heart rate, and a menstrual cycle, and the exercise information is generated on the basis of patient life log data acquired by a patient terminal.

Systems and methods for determining a concordance between results of medical assessments are provided. Results of a medical assessment of a first type for an anatomical object of a patient and results of a medical assessment of a second type for the anatomical object are received. The results of the medical assessment of the first type are converted to a hemodynamic measure. A concordance analysis between the results of the medical assessment of the first type and the results of the medical assessment of the second type based on the hemodynamic measure is performed. Results of the concordance analysis are output.

An instrument for performing thorascopic repair of heart valves includes a shaft for extending through the chest cavity and into a heart chamber providing access to a valve needing repair. A movable tip on the shaft is operable to capture a valve leaflet and a needle is operable to penetrate a capture valve leaflet and draw the suture therethrough. The suture is thus fastened to the valve leaflet and the instrument is withdrawn from the heart chamber transporting the suture outside the heart chamber. The suture is anchored to the heart wall with proper tension as determined by observing valve operation with an ultrasonic imaging system.

Method for ameliorating secondary pulmonary hypertension in a patient including determining a pulmonary vascular resistance (PVR) of the patient suffering from secondary pulmonary hypertension; assessing a change in the PVR in response to a selection treatment; and treating the patient with a pulmonary artery manipulation device to provide pulmonary artery denervation if the patient is determined to suffer from fixed PH, thereby ameliorating the secondary pulmonary hypertension of the patient.

A wearable device includes a processor and a lower module. The lower module includes a pressure sensor for detecting a mechanical movement of a skin that covers an artery. The mechanical movement of the skin is due to blood flow through the artery. The processor is configured to receive skin movement information from the movement sensor; calculate a pulse front velocity (PFV), which is a velocity of a blood wave as the blood wave passes under the pressure sensor; estimate a pulse wave velocity (PWV) using the PFV; and estimate the blood pressure using the PWV.