A method includes receiving signal data from a sensor device; dynamically converting the signal data into a visibility point based on a time series vector associated with the signal data; generating an image to preserve the time series vector, wherein the a time series vector is a shape within the image; extracting a feature metric of a plurality of feature metrics from the image based on an analysis of a pre-trained machine learning algorithm; automatically determining, utilizing a transfer learning algorithm, a first position of a node in a plurality of nodes within the image based on a relationship between the feature metric and the time series vector associated with the time series data; predicting a second position of the node in the plurality of nodes based on the analysis of the pre-trained machine learning algorithm and the relation between the feature metric and the time series vector.

A system for screening and management of hypertension, which includes a high precision fingertip photoplethysmography (PPG) acquisition device and the application software of hypertension screening and management in a portable device such as a smartphone. The former includes 905 nm wavelength infrared light emitting sensor, photoelectric receiving device, and Bluetooth transmission module. The latter includes PPG signal configuration and acquisition module, automatic hypertension classification and screening module and hypertension management module. The system can process the real-time PPG signal and can classify and evaluate the blood pressure level and carry on the long-term management and the hypertension health instruction.

An arterial-pressure estimation apparatus includes a control unit configured to acquire sensor data indicating timings at which blood flows generated, for one heartbeat, at two or more locations of a blood vessel downstream of an aorta when the at two or more locations are compressed such that a location of the two or more locations that is further downstream of the aorta has a higher compression pressure than a location of the two more locations that is further upstream of the aorta, and estimate a temporal variation of an arterial pressure based on the acquired sensor data.

An apparatus for estimating blood pressure includes: a sensor, and a processor configured to estimate blood pressure based on a PPG signal and a contact pressure signal measured by the sensor. The sensor includes: a transparent elastic body; a first polarizing film provided on a surface of the transparent elastic body and configured to come into contact with the object; a light source provided under the transparent elastic body and configured to emit light toward the object; a first detector and a second detector provided under the transparent elastic body and configured to detect light, passing through the first polarizing film after being emitted by the light source and scattered or reflected from the object, to measure the PPG signal; and a second detector provided under the transparent elastic body and configured to detect light, not passing through the first polarizing film, to measure the contact pressure signal.

Provided are a blood pressure estimation device, and the like, the device being capable of accurately estimating blood pressure. The blood pressure estimation device includes a blood pressure estimation unit which estimates a blood pressure on the basis of a pressure in a specific time period and differences between a plurality of pulse wave signals measured in the specific time period due to the pressure.

Method for determining a blood pressure value including the steps of: providing a pulsatility signal, determining a time-related feature and a normalized amplitude-related feature on the basis of the pulsatility signal; and calculating a blood pressure value on the basis of a blood pressure function depending on the time-related feature, the normalized amplitude-related feature and function parameters.

Various embodiments include methods and devices for measuring blood pressure. Various embodiments may include receiving, from one or more arterial measurement sensors, a pulse waveform representing arterial pressure as a function of time for each pulse of a series of blood pressure pulses. The series of blood pressure pulses may be correlated to arterial distension at a measurement location of the arterial measurement sensors on a subject's body. One or more elevations of the measurement location may be received from one or more elevation sensors. At least one pulse in the series of pulses may be identified that represents a transitional pulse based on one or more characteristics of the at least one pulse. A diastolic blood pressure may be determined based on the at least one identified transitional pulse and elevation measurements that correspond to the one identified pulse.

An apparatus for estimating blood pressure may include a sensor configured to measure a bio-signal from an object; and a processor configured to: obtain a cardiac output (CO) feature based on the bio-signal; obtain a total peripheral resistance (TPR) feature by combining an amplitude of a propagation wave component and amplitudes of at least two reflection wave components of the bio-signal, in response to a variation of the CO feature at a blood pressure measurement time relative to a calibration time, being within a predetermined range; obtain the TPR feature by combining the amplitude of the propagation wave component and an amplitude of one reflection wave component of the at least two reflection wave components, in response to the variation of the CO feature not being within the predetermined range; and estimate blood pressure based on the CO feature and the TPR feature.

An apparatus and method for measuring at least two patient parameters is provided. A first cuff includes a first inflatable bladder, a first light emitting device and a first sensor that senses light data for use in calculating at least two patient parameters. A second cuff includes a second inflatable bladder, a second light emitting device and a second sensor that senses light data for use in calculating the at least two patient parameters. A controller is coupled the first and second sensors and when the controller causes the bladder of one of the first and second cuffs to inflate, the sensor of the one of the first and second cuffs sensing first light data used in determining a first of the at least two patient parameters and the sensor of the other of the one of first and second cuffs simultaneously senses second light data used in determining of a second of the at least two patient parameters.

A blood pressure measurement system according to the present invention comprises: a sensor unit for detecting a human arterial pulse wave and a variable pressure arterial pulse wave; and a blood pressure calculation unit which calculates a blood pressure value using the human arterial pulse wave and the variable pressure arterial pulse wave, wherein the sensor unit senses the pulse wave at a part to which a variable pressure is applied in order to detect the variable pressure arterial pulse wave. Since a blood pressure value calculated from the arterial pulse wave detected at one part of a human body and the variable pressure arterial pulse wave detected at another part of the human body to which the variable pressure is applied can be output, blood pressure can be calculated faster than when using existing oscillometric sphygmomanometers which take at least 40 seconds to measure blood pressure, and thus an accurate blood pressure value can be calculated. Accordingly, the time required to calculate blood pressure is greatly reduced. In addition, according to the present invention, blood pressure values can be calculated through an easy and simple process by using a relative ratio value or a mapping arterial pulse wave that can be acquired from two types of waveforms composed of the arterial pulse wave and the variable pressure arterial pulse wave, and thus a complicated blood pressure calculation algorithm is not required.