Cuffless Blood Pressure Estimation Based on Data-Oriented Continuous Health Monitoring System.

Measuring blood pressure continuously helps monitor health and also prevent lifestyle related diseases to extend the expectancy of healthy life. Blood pressure, which is nowadays used for monitoring patient, is one of the most useful indexes for prevention of lifestyle related diseases such as hypertension. However, continuously monitoring the blood pressure is unrealistic because of discomfort caused by the tightening of a cuff belt.

Robust estimation of simulated urinary volume from camera images under bathroom illumination.

General uroflowmetry method involves the risk of nosocomial infections or time and effort of the recording. Medical institutions, therefore, need to measure voided volume simply and hygienically. Multiple cylindrical model that can estimate the fluid flow rate from the photographed image using camera has been proposed in an earlier study.

Estimating flow rate and total volume of simulated urine flow noninvasively from a monocular camera.

Urodynamics measurement tools in practical use carry the risk of nosocomial infection and invasiveness. Our study proposes a new method for urinary flow estimation. We propose multiple cylindrical model to estimate the amount of liquid volume from images taken by a monocular camera.

Separate estimation of long- and short-term systolic blood pressure variability from photoplethysmograph.

This paper proposed a method to monitor systolic blood pressure (BP) variability without using a cuff during the daytime. In this method, BP variability of long-term and short-term were separated and estimated respectively from features of phoplethysmograph (PPG) through the use of a frequency filter. Then, total variability was obtained from the combination of long-term and short-term.

Cuffless blood pressure estimation using only photoplethysmography based on cardiovascular parameters.

This study provides cuffless blood pressure estimation. In general, blood pressure changes when the subject's condition changes, and it is important to estimate it continuously and noninvasively. In many previous studies, they used PTT (Pulse Transmission Time) for estimating.

Estimating heart rate using wrist-type Photoplethysmography and acceleration sensor while running.

This study provides Heart Rate (HR) Estimation using wrist-type Photoplethysmogpraphy (PPG) sensor while the subject is running. We propose the algorithm to estimate heart rate for the wrist-type PPG sensor. Since body motion artifacts easily affect the arm portion, our method in this study also uses accelerometer built in the wrist-type sensor to improve the accuracy of heart rate estimation.