5 results about "Pulse Wave Transit Time" patented technology

A physiological information display apparatus includes a reception unit configured to receive a start signal and an end signal, the start signal indicating a start timing of a treatment for a subject, the end signal indicating an end timing of the treatment, a calculation unit configured to calculate a moving average value of a pulse wave transit time of the subject, a hemodynamic parameter of the subject, using the calculated moving average value, and a change rate of the hemodynamic parameter in a period from the start timing to the end timing, based on the start signal and the end signal received by the reception unit, and a display controller configured to output, to a display, the change rate calculated by the calculation unit.

A pulse wave transit time measurement device includes a neck band, a pair of electrocardiographic electrodes detecting an electrocardiographic signal, a photoplethysmographic sensor detecting a pulse wave signal, and a pulse wave transit time calculator calculating a pulse wave transit time based on a peak time difference between the electrocardiographic signal detected by the electrocardiographic electrodes and the pulse wave signal detected by the photoplethysmographic sensor. The photoplethysmographic sensor is positioned in or substantially in a central region of the neck band at a location at which the photoplethysmographic sensor is in contact with a neck of a user at or near a midline of the neck on the backside when the neck band is worn around the neck of the user.

A blood pressure prediction method and apparatus, an electronic device, and a computer-readable storage medium. The method includes: synchronously collecting physiological signals, the physiological signals include electrocardiogram signals, pulse signals and heart sound signal; extracting features from the physiological signals to obtain signal features, the signal features include pre-ejection duration and pulse wave transit time; and inputting the signal features into a pre-trained blood pressure prediction model to cause the blood pressure prediction model to output a blood pressure prediction result.

The invention discloses a pulse wave velocity measuring method, device and equipment and a medium. The measuring method comprises the following steps: acquiring an electrocardiogram signal of a heart; acquiring a pulse wave signal of any detection point of the body surface artery; performing second derivative operation on the pulse wave signal to obtain a pulse wave acceleration signal; according to the pulse wave acceleration signal and the electrocardiogram signal, the pulse wave propagation time difference from the heart to the detection point is determined; acquiring a curve distance from the heart to the detection point; calculating the ratio of the curve distance to the pulse wave propagation time difference to obtain the pulse wave speed. According to the method, the limitation that the traditional pulse wave speed must depend on synchronous measurement of two arteries is eliminated, the stable and reliable pulse wave speed can be obtained only through the single-point pulse wave signal and the electrocardiogram signal, and the multi-point detection requirement of the traditional method is avoided; and errors of single-point pulse wave measurement are made up by means of high time precision of the electrocardiogram signals, so that clinical credibility of pulse wave speed detection is guaranteed.

This invention discloses a continuous non-invasive blood pressure monitoring system based on fingertip photoplethysmography (PPG). The system includes: an intelligent finger cot terminal for acquiring fingertip PPG signals and adjusting the fingertip contact pressure in real time using a closed-loop control formula to maintain a constant pressure state on the finger blood vessels; a mobile computing terminal for receiving fingertip PPG signals and performing preprocessing operations on the fingertip PPG signals; and a cloud service platform for calculating the preprocessed fingertip PPG signals based on a preset blood pressure calculation model to obtain a continuous blood pressure waveform and estimate hemodynamic parameters based on the continuous blood pressure waveform. The preset blood pressure calculation model is specifically a pulse wave analysis model, a pulse wave propagation time model, or a deep learning mapping model. The hemodynamic parameters are specifically stroke volume and cardiac output. Through the mobile computing terminal and the cloud service platform, continuous arterial pressure waveform reconstruction and physiological parameter calculation are realized, and long-term monitoring accuracy can be maintained through a periodic calibration mechanism.