Pulse Wave Signal Feature Recognition Based on Time-domain Differential Period Ratio

2020 ◽  
Vol 49 (12) ◽  
pp. 51-60
Author(s):  
范保存 Bao-cun FAN ◽  
王彦 Yan WANG ◽  
黄晨晨 Chen-chen HUANG ◽  
葛子阳 Zi-yang GE ◽  
金萍 Ping JIN
Keyword(s):  
Time Domain ◽  
Feature Recognition ◽  
Pulse Wave ◽  
Period Ratio ◽  
Wave Signal

Pulse Wave Signal Feature Recognition Based on Time-domain Differential Period Ratio

2020 ◽  
Vol 49 (12) ◽  
pp. 51-60
Author(s):  
范保存 Bao-cun FAN ◽  
王彦 Yan WANG ◽  
黄晨晨 Chen-chen HUANG ◽  
葛子阳 Zi-yang GE ◽  
金萍 Ping JIN
Keyword(s):  
Time Domain ◽  
Feature Recognition ◽  
Pulse Wave ◽  
Period Ratio ◽  
Wave Signal

Study on Pulse Wave Signal Noise Reduction and Feature Point Identification

2013 ◽  
Vol 8 (9) ◽  
pp. 953-960 ◽  
Author(s):  
ZHAO Zhiqiang ◽  
ZHENG Guowei ◽  
PANG Yu ◽  
SHENG wei ◽  
LIAO cheng ◽  
...  
Keyword(s):  
Noise Reduction ◽  
Pulse Wave ◽  
Feature Point ◽  
Signal Noise ◽  
Wave Signal

A Design of Pulse-Wave Data Collection System

2011 ◽  
Vol 127 ◽  
pp. 48-52
Author(s):  
Xiao Hui Zhang ◽  
Xi Ling Zhao
Keyword(s):  
Blood Flow ◽  
Data Collection ◽  
Oxygen Sensor ◽  
Pulse Wave ◽  
Clinical Care ◽  
Collection System ◽  
Data Collection System ◽  
Wave Signal ◽  
Flow Monitoring ◽  
Wave Data

In this paper, a newly design of pulse-wave data collection system continuously and non-invasion by using the means of clip-on transmission oxygen sensor for getting information of pulse-wave, using the wave can calculate a number of important parameters of blood, it may solve the problem of real-time, continuous and dynamic blood flow monitoring in clinic, This design use sensor to get photoelectric volume pulse wave then the signal through amplification and filter circuit ,after then it is sent to A / D converter and DSP. The powerful instruction functions and fast processing speed DSP makes this design can quickly and easily detect the pulse wave signal. This design not only used for clinical care, but also can be used for community or family health care on detection of cardiovascular blood flow. This design can make the telemedicine care ture by DSP and the PC communication, It provides a simple and easy method to monitor the pulse-wave signal .

scholarly journals Influence on Calculated Blood Pressure of Measurement Posture for the Development of Wearable Vital Sign Sensors

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Shouhei Koyama ◽  
Hiroaki Ishizawa ◽  
Akio Sakaguchi ◽  
Satoshi Hosoya ◽  
Takashi Kawamura
Keyword(s):  
Blood Pressure ◽  
Calibration Curve ◽  
Pressure Measurement ◽  
Pulse Wave ◽  
Blood Pressure Measurement ◽  
Wave Signal ◽  
Fbg Sensor ◽  
Pressure Calculation ◽  
Measurement Height ◽  
The Difference

We studied a wearable blood pressure sensor using a fiber Bragg grating (FBG) sensor, which is a highly accurate strain sensor. This sensor is installed at the pulsation point of the human body to measure the pulse wave signal. A calibration curve is built that calculates the blood pressure by multivariate analysis using the pulse wave signal and a reference blood pressure measurement. However, if the measurement height of the FBG sensor is different from the reference measurement height, an error is included in the reference blood pressure. We verified the accuracy of the blood pressure calculation with respect to the measurement height difference and the posture of the subject. As the difference between the measurement height of the FBG sensor and the reference blood pressure measurement increased, the accuracy of the blood pressure calculation decreased. When the measurement height was identical and only posture was changed, good accuracy was achieved. In addition, when calibration curves were built using data measured in multiple postures, the blood pressure of each posture could be calculated from a single calibration curve. This will allow miniaturization of the necessary electronics of the sensor system, which is important for a wearable sensor.

scholarly journals A More Effective Method of Extracting the Characteristic Value of Pulse Wave Signal Based on Wavelet Transform

2016 ◽  
Vol 09 (10) ◽  
pp. 9-19 ◽  
Author(s):  
Xuanwei Zhang ◽  
Yazhou Shang ◽  
Daoxin Guo ◽  
Tianxia Zhao ◽  
Qiuping Li ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Pulse Wave ◽  
Wave Signal ◽  
Characteristic Value
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