A Distributed Multichannel Signal Acquisition System Based on DSP

2019 ◽  
Author(s):  
Lin Wang ◽  
Changsong Ma ◽  
Sidan Dai
Keyword(s):  
Acquisition System ◽  
Signal Acquisition

Study of the Metal Crack Propagation by Acoustic Emission Testing

2011 ◽  
Vol 105-107 ◽  
pp. 2179-2182
Author(s):  
Wei Min Zhang ◽  
Shu Xuan Liu ◽  
Yong Qiu ◽  
Cheng Feng Chen
Keyword(s):  
Acoustic Emission ◽  
Crack Propagation ◽  
Acquisition System ◽  
Signal Acquisition ◽  
Sensor Signal ◽  
Acoustic Emission Sensor ◽  
Axial Tension ◽  
Emission Testing ◽  
Acoustic Emission Testing ◽  
Signal Operating

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.

Design of ECG Acquisition System Based on Matlab

2013 ◽  
Vol 462-463 ◽  
pp. 1001-1004
Author(s):  
Xue Wang ◽  
Wen Liang Niu ◽  
Yuan Sheng Liu
Keyword(s):  
Heart Rate ◽  
Cost Savings ◽  
Acquisition System ◽  
Signal Acquisition ◽  
Ecg Signal ◽  
Threshold Selection ◽  
Selection Algorithm ◽  
Absolute Value ◽  
Wave Detection ◽  
Processing Circuit

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.

scholarly journals Design of Pulse Wave Feature Vigilance Detection System Based on Computer Software Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Yidong Zeng ◽  
Jun Ji ◽  
Jinghua Wang ◽  
Jiasuo Gao ◽  
Jie Hu ◽  
...  
Keyword(s):  
Pulse Wave ◽  
Detection System ◽  
Skin Resistance ◽  
Computer Software ◽  
Pulse Amplitude ◽  
Acquisition System ◽  
Signal Acquisition ◽  
Blood Oxygen Saturation ◽  
Software Technology ◽  
Physiological Signal

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.

Non-contact respiratory rate and heart rate signal acquisition system

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 ◽  
...  
Keyword(s):  
Heart Rate ◽  
Respiratory Rate ◽  
Acquisition System ◽  
Signal Acquisition

scholarly journals Development of Intelligent Terminal-based Signal Acquisition System for Cochlear Implant

2018 ◽  
Vol 232 ◽  
pp. 01015 ◽  
Author(s):  
Yousheng Chen ◽  
Weifang Chen
Keyword(s):  
Speech Recognition ◽  
Cochlear Implant ◽  
Acquisition System ◽  
Signal Acquisition ◽  
Noisy Environment ◽  
System Monitoring ◽  
Intelligent Monitoring ◽  
Intelligent Terminal ◽  
Front End ◽  
Mismatch Condition

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.

scholarly journals Simultaneous EEG Acquisition System for Multiple Users: Development and Related Issues

Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4592
Author(s):  
Sunghan Lee ◽  
Hohyun Cho ◽  
Kiseong Kim ◽  
Sung Chan Jun
Keyword(s):  
Large Scale ◽  
Acquisition System ◽  
Signal Acquisition ◽  
Human Interactions ◽  
Multiple Users ◽  
Simultaneous Acquisition ◽  
Eeg Data ◽  
Reasonable Cost ◽  
Average Loss ◽  
Crowd Psychology

Social interaction is one of humans’ most important activities and many efforts have been made to understand the phenomenon. Recently, some investigators have attempted to apply advanced brain signal acquisition systems that allow dynamic brain activities to be measured simultaneously during social interactions. Most studies to date have investigated dyadic interactions, although multilateral interactions are more common in reality. However, it is believed that most studies have focused on such interactions because of methodological limitations, in that it is very difficult to design a well-controlled experiment for multiple users at a reasonable cost. Accordingly, there are few simultaneous acquisition systems for multiple users. In this study, we propose a design framework for an acquisition system that measures EEG data simultaneously in an environment with 10 or more people. Our proposed framework allowed us to acquire EEG data at up to 1 kHz frequency from up to 20 people simultaneously. Details of our acquisition system are described from hardware and software perspectives. In addition, various related issues that arose in the system’s development—such as synchronization techniques, system loads, electrodes, and applications—are discussed. In addition, simultaneous visual ERP experiments were conducted with a group of nine people to validate the EEG acquisition framework proposed. We found that our framework worked reasonably well with respect to less than 4 ms delay and average loss rates of 1%. It is expected that this system can be used in various hyperscanning studies, such as those on crowd psychology, large-scale human interactions, and collaborative brain–computer interface, among others.

Data Acquisition System Design and Data Analysis on Automatic Transmission

2012 ◽  
Vol 239-240 ◽  
pp. 861-864
Author(s):  
Yan Qin Li ◽  
Chun Fu Li
Keyword(s):  
Data Acquisition ◽  
System Design ◽  
Virtual Instrument ◽  
Automatic Transmission ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Dump Truck ◽  
Signal Acquisition ◽  
Transmission Oil ◽  
Turbine Speed

An efficient data acquisition system for electronic automatic transmission test, which makes use of American NI’s data acquisition card, is designed based on Virtual Instrument. The data can be collected by the data acquisition system include automatic transmission oil pressure, solenoid duty, as well as engine speed ，turbine speed ，output shaft speed and throttle degree，and so on. The key problems of the system design are measurement method of automatic transmission solenoid duty, signal conditioning circuit design and multi-signal acquisition synchronization. Test platform is North-Benz dump truck 2627K (Its power-train assembly is replaced), of which transmission and engine use respectively HD4070PR electronic automatic transmission and BF6M1015CP electronic diesel engine. The automatic transmission shift control strategy and oil pressure characteristics of clutch or brake etc can be analyzed through test data acquisition.

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