Signal Conversion and Isolation Processing Technology Used in the Cerebrovascular Stroke Detector.
10.3969/j.issn.1671-7104.2022.02.005
- Author:
Zengshui LIU
1
;
Yudi CHEN
2
;
Zhaobo PEI
3
;
Jun FENG
3
Author Information
1. Shanghai Technical Institute of Electronics and Information, Shanghai, 201411.
2. Shanghai Shenzhou Meijing Health Technology Co. Ltd., Shanghai, 201316.
3. Shanghai Sibo Mechanical & Electrical Co. Ltd., Shanghai, 200331.
- Publication Type:Journal Article
- Keywords:
blood flow velocity;
blood pressure;
signal isolation;
stroke
- MeSH:
Blood Flow Velocity/physiology*;
Cerebrovascular Circulation/physiology*;
Hemodynamics/physiology*;
Humans;
Stroke;
Technology
- From:
Chinese Journal of Medical Instrumentation
2022;46(2):141-146
- CountryChina
- Language:Chinese
-
Abstract:
By using Doppler sensor and pressure sensor, the cerebrovascular stroke detector can be used to measure the blood flow velocity and blood pressure of the carotid artery. In this study, a variety of signal conversion and isolation processing techniques are proposed for processing and feature extraction of the output signals from the sensors. Finally, effective signal output waveforms that can be used to evaluate the cerebrovascular hemodynamics index (CVHI) are obtained, and the sound signal outputs that can reflect the change characteristics of blood flow velocity and blood pressure signals are generated, which realizes the application functional requirements of the detector.
