A preliminary study on multi-wavelength PPG based pulse transit time detection for cuffless blood pressure measurement

2016 ◽  
Author(s):  
Jing Liu ◽  
Yuan-Ting Zhang ◽  
Xiao-Rong Ding ◽  
Wen-Xuan Dai ◽  
Ni Zhao
Keyword(s):  
Blood Pressure ◽  
Transit Time ◽  
Pressure Measurement ◽  
Blood Pressure Measurement ◽  
Pulse Transit Time ◽  
Multi Wavelength ◽  
Preliminary Study ◽  
Cuffless Blood Pressure

Noninvasive cuffless blood pressure measurement by vascular transit time

2015 ◽  
Author(s):  
Satya Narayan Shukla ◽  
Karan Kakwani ◽  
Amit Patra ◽  
Bipin Kumar Lahkar ◽  
Vivek Kumar Gupta ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Transit Time ◽  
Pressure Measurement ◽  
Blood Pressure Measurement ◽  
Cuffless Blood Pressure

scholarly journals Using the Characteristics of Pulse Waveform to Enhance the Accuracy of Blood Pressure Measurement by a Multi-Dimension Regression Model

2019 ◽  
Vol 9 (14) ◽  
pp. 2922 ◽  
Author(s):  
Shing-Hong Liu ◽  
Li-Jen Liu ◽  
Kuo-Li Pan ◽  
Wenxi Chen ◽  
Tan-Hsu Tan
Keyword(s):  
Blood Pressure ◽  
Regression Model ◽  
Pressure Measurement ◽  
Blood Pressure Measurement ◽  
Pulse Transit Time ◽  
Blood Pressure Monitor ◽  
Pressure Monitor ◽  
Type Device ◽  
Cuffless Blood Pressure ◽  
Blood Pressure Measurement Device

With the advancement of wearable technology, many physiological monitoring instruments are gradually being converted into wearable devices. However, as a consumer product, the blood pressure monitor is still a cuff-type device, which does perform a beat-by-beat continuous blood pressure measurement. Consequently, the cuffless blood pressure measurement device was developed and it is based on the pulse transit time (PTT), although its accuracy remains inadequate. According to the cardiac hemodynamic theorem, blood pressure relates to the arterial characteristics and the contours of the pulse wave include some characteristics of the artery. Therefore, the purpose of this study was to use the contour characteristics of the pulses measured by photoplethysmography (PPG) to estimate the blood pressure using a linear multi-dimension regression model. Ten subjects participated in the experiment, and the blood pressure levels of the subjects were elevated by exercise. The results showed that the mean and standard deviation (mean ± SD) of the root mean square error of the estimated systolic and diastolic pressures within the best five parameters were 6.9 ± 2.81 mmHg and 4.0 ± 0.65 mmHg, respectively. Compared to the results that used one parameter, the PTT, for estimating the systolic and diastolic pressures, 8.2 ± 2.1 mmHg and 4.5 ± 0.79 mmHg, respectively, our results were better.

Sign in / Sign up

Export Citation Format

Share Document