Low-Cost Prototype Design of Biomedical Sensing Device for ECG and EMG Signal Acquisition System

Author(s):  
Shin-Chi Lai ◽  
Ying-Hsiu Hung ◽  
Ying-Ting Chang
Author(s):  
Uvanesh K. ◽  
Suraj Kumar Nayak ◽  
Biswajeet Champaty ◽  
Goutam Thakur ◽  
Biswajit Mohapatra ◽  
...  

Surface EMG (sEMG) signals from the palmaris longus, flexor carpi radialis and flexor carpi ulnaris muscles were recorded using an in-house developed EMG signal acquisition system. The bandwidth of the acquisition system was 1500 Hz. The extracted sEMG signal was processed using Discrete Wavelet Transform (DWT). The features of the extracted and the wavelet processed signals were determined and were used for probable classification using Artificial Neural Network (ANN). A classification efficiency of more than 90% was achieved using ANN classifiers. The results suggested that the sEMG may be successfully used for designing efficient control system.


In this paper, the design of a real-time digital multi--channel ECG signal acquisition system is presented. With the purpose of fabrication towards a simple, compact and low-cost tool for bioelectrical signal processing laboratories, the system is developed to acquire the 12 leads EGC signals and converted to numerical data based on an Arduino module named as Leonardo equipped 12 channels ADC. To observe the EGC waves, the ECG signals are amplified through designed amplifiers with the gain of 60 dB. To reduce the effects from the DC component as well as the baseline wandering and the high frequency noise, the active analog bandpass filter ranged in 0,05 Hz to 100 Hz was designed. The power line noise of 50 Hz also decreased with an active analog bandstop filter with attenuation -38 dB. Under the PC application was built using Labview programing, the low-cost digital ECG signal acquisition system was demonstrated with the requirement of observation in real-time. To clarify the small wave in the digital EGG signal, the limitation of the analog signal processing is improved through the digital filters parameterized in the software to increase the SNR from 1.4 dB to 27.6 dB. Practically, the system is evaluated through a series of experiments on a volunteer person resulting the ECG data is recorded and stored in a TDMS file. Since the system is designed as opened-system, a series of developments towards various applications in biomedical diagnosis based on digital signal analysis techniques is promised to be feasible in the near future.


2015 ◽  
Vol 27 (01) ◽  
pp. 1550008 ◽  
Author(s):  
Hong Kang ◽  
Wei Wang ◽  
Xin Li ◽  
Hongliang Du ◽  
Lan Li ◽  
...  

To develop a more convenient electromyography (EMG) signal acquisition system for masticatory muscles (MMs) will have implication for the diagnosis of disease of stomatological system and functional reconstruction in dentistry. This study attempted to design a multi-channel MM surface electromyography (s-EMG) signal acquisition system which has high common mode rejection ratio (CMRR) and preamplifier system. In this system, a USB graphical interface technology on windows operating system was specifically designed and s-EMG data were analyzed by a combination of time domain, frequency domain, time-frequency, several spectral analysis, wavelets and other special algorithms under multi-parameter. Then the EMG data from some patients with stomatological dysfunction in temporomandibular joint (TMJ) clinic and a control group from dental school students were acquired and analyzed. The data indicate that the s-EMG signal acquisition system which has been built is simple and useful in aiding diagnosis and treatment evaluation of temporomandibular disorders.


2014 ◽  
Vol 584-586 ◽  
pp. 2023-2027
Author(s):  
Wei Sun ◽  
Ying Zhang ◽  
Shao Fei Jiang

A vibration signal acquisition system was designed based virtual instrument technology. The process and principle design of structure vibration signal acquisition system based on LabVIEW software and CompactRIO hardware were discussed in detail. Finally, system test was conducted by a three story steel frame structure. And the test results were compared with traditional instruments system. The experiment showed that the data acquisition system of structure vibration signal which based on CompactRIO is precise and reliable in measurement results, and can realize multi channel synchronous data acquisition, storage, and support the real-time online data filtering and spectrum analysis and so on.Compared with the traditional platforms, the system proposed in the paper has short development cycle, low cost, user-defined functions, rugged, portable and other advantages. It can be widely used in complex and special building environment, so it will have a broad application prospect in the field of SHM.


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