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2 results about "Target heart rate" patented technology

Method and System for Accurate Reproduction of Non-invasive Blood Pressure Oscillation Waveform

PendingCN122350670APressure curveMedicine
This invention discloses a method and system for accurately reproducing non-invasive blood pressure oscillation waveforms, relating to the field of vital sign data monitoring technology. It constructs and superimposes a target pressure sequence by separately generating a target baseline pressure curve and a target oscillation pressure curve. The actual pressure signal is then separated into an actual baseline pressure curve and an actual oscillation pressure curve. This allows the baseline pressure error and oscillation pressure error to correspond to the baseline pressure control quantity and oscillation injection control quantity, respectively, avoiding the problem of unclear error sources when correcting composite pressure as a whole. When reproducing the same target systolic pressure, target diastolic pressure, target mean pressure, and target heart rate multiple times, it can reduce pressure overshoot, pressure drop rate fluctuations, oscillation pressure amplitude distortion, and oscillation envelope peak position offset. This makes the corrected non-invasive blood pressure oscillation waveform closer to the target pressure sequence, improving the consistency of the error verification results and repeatability evaluation results of the non-invasive blood pressure module under test.
Owner:SHENZHEN INSTITUTE FOR DRUG CONTROL (SHENZHEN TESTING CENTER OF MEDICAL DEVICES)

Non-contact heart rate monitoring and auxiliary screening method for heart disease based on 1300nm short-wave infrared

PendingCN122320468AData acquisition moduleNose region
This application discloses a non-contact heart rate monitoring and cardiac screening method based on 1300nm shortwave infrared light, belonging to the field of image processing technology. It includes: acquiring multiple frames of target face images captured by a 1300nm infrared camera; sequentially arranging the multiple frames of target face images to obtain a time-series signal; sending the time-series signal to a face nose region recognition and data acquisition module, locating the nose region in the time-series signal based on the Dlib algorithm, and collecting the average grayscale value of the pixels in the nose region to obtain the heart rate signal to be processed; sending the heart rate signal to be processed to a feature signal extraction module, sequentially performing detrending, mean removal, wavelet transform, and Kalman filtering to obtain a feature signal representing the heart rate; inputting the feature signal representing the heart rate to a heart rate status judgment module, obtaining the target heart rate through Fourier transform, and judging the target heart rate based on a two-level comparison strategy to obtain the target heart rate status. This method improves the accuracy and efficiency of cardiac screening.
Owner:HUAZHONG UNIV OF SCI & TECH +1