scholarly journals A generation and distribution system of clock signal source for signal acquisition system

2021 ◽  
Author(s):  
Lei Zhang ◽  
Yuanyuan Zhang ◽  
Ziqian Shang ◽  
Yanrui Su ◽  
Fabao Yan ◽  
...  
2011 ◽  
Vol 105-107 ◽  
pp. 2179-2182
Author(s):  
Wei Min Zhang ◽  
Shu Xuan Liu ◽  
Yong Qiu ◽  
Cheng Feng Chen

Crack propagation is the main reason which leads to the invalidity of the metal components. A set of detecting equipment based on the acoustic emission method was designed, and it was mainly composed of acoustic emission sensor, signal operating circuits and signal acquisition system. Specimens of 16MnR material were manufactured and the static axial tension test of them was carried on. Acoustic emission signals from the specimen were detected by acoustic emission equipment by using piezoelectric ceramic sensor. Signal datum were acquired and operated by the acquisition system, as well as the acquisition program written for it. The final results has demonstrated that acoustic emission equipment designed for the test performed well in acquiring the signals induced by the metal crack propagation.


2013 ◽  
Vol 462-463 ◽  
pp. 1001-1004
Author(s):  
Xue Wang ◽  
Wen Liang Niu ◽  
Yuan Sheng Liu

In order to more accurate detection of ECG signal and cost savings, this paper designed a set of ECG signal acquisition system based on Matlab. The system is composed of hardware and software. Hardware is made up of signal acquisition processing circuit and MPC82G516 microcontroller for AD conversion. The software mainly contains configuring Matlab serial to realize communication with MPC82G516 and uses abundant filter resources of Matlab to remove noise by differential, absolute value, smoothing and threshold selection algorithm of R wave detection, R wave peak provides the basis for calculating the heart rate. This paper uses Matlab friendly user interface for displaying received data to make the data more intuitive and read more easily.


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Yidong Zeng ◽  
Jun Ji ◽  
Jinghua Wang ◽  
Jiasuo Gao ◽  
Jie Hu ◽  
...  

In this paper, the pulse wave feature alertness detection system based on computer software technology is researched. First, the computer software technology designs the alertness detection system and then conducts the system alertness test experiment using a system that can not affect the subjects’ alertness, a portable multichannel physiological signal acquisition system that measures the subjects’ ECG signal, skin resistance, blood oxygen saturation, and other physiological signals in the case of a degree task experiment. The multichannel physiological signal acquisition system collects the signals during the vigilance task experiment. At the same time, before, during, and after the experiment, subjects are required to fill in the Stanford Sleepiness Scale (SSS) and evaluate the level of individual alertness through subjective self-evaluation. The relevant experimental data show that, 10 minutes before the experiment, the pulse amplitude increased rapidly, then slowly decreased at the beginning, reached a peak in about 25 minutes, and then began to rise.


2019 ◽  
Vol 27 (6) ◽  
pp. 1354-1361
Author(s):  
郭 健 GUO Jian ◽  
陈雨行 CHEN Yu-hang ◽  
王丽荣 WANG Li-rong ◽  
韦 阳 WEI Yang ◽  
郭 宇 GUO Yu ◽  
...  

2018 ◽  
Vol 232 ◽  
pp. 01015 ◽  
Author(s):  
Yousheng Chen ◽  
Weifang Chen

Present speech recognition of cochlear implant is still low for situation of noisy environment or under mismatch condition, and more researches focus on improving front-end signal acquisition and speech recognition. To simplify signal acquisition and algorithm research, we develop an intelligent terminal-based signal acquisition system for cochlear implant, in which the electric relay and many sensors are adopted to implement system monitoring function. The proposed system platform is helpful to actualize algorithm research and intelligent monitoring, adding to its value of further research of speech recognition improvement.


1998 ◽  
Author(s):  
Hong-Fa Luan ◽  
Linghui Wu ◽  
Bipin Bihari ◽  
Jianhua Gan ◽  
Ray T. Chen ◽  
...  

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