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The virtual (software) instrument with a statistical analyzer for testing algorithms for biomedical signals' recovery in compressive sensing (CS) scenario is presented. Various CS reconstruction algorithms are implemented with the aim to be applicable for different types of biomedical signals and different applications with under-sampled data. Incomplete sampling/sensing can be considered as a sort of signal damage, where missing data can occur as a result of noise or the incomplete signal acquisition procedure. Many approaches for recovering the missing signal parts have been developed, depending on the signal nature. Here, several approaches and their applications are presented for medical signals and images. The possibility to analyze results using different statistical parameters is provided, with the aim to choose the most suitable approach for a specific application. The instrument provides manifold possibilities such as fitting different parameters for the considered signal and testing the efficiency under different percentages of missing data. The reconstruction accuracy is measured by the mean square error (MSE) between original and reconstructed signal. Computational time is important from the aspect of power requirements, thus enabling the selection of a suitable algorithm. The instrument contains its own signal database, but there is also the possibility to load any external data for analysis.
Subject(s)
Biosensing Techniques , Data Compression , Monitoring, Physiologic , Algorithms , Physical PhenomenaABSTRACT
In this paper, a new prospect using lead-free piezoelectric ceramics is presented in order to determine their behavior in piezoelectric-based road traffic energy harvesting applications. This paper will describe the low-cost and fully programmable novel test bench developed. The test bench includes a traffic simulator and acquires the electrical signals of the piezoelectric materials and the energy harvested when stress is produced by analogous mechanical stimuli to road traffic effects. This new computer-controlled laboratory instrument is able to obtain the active electrical model of the piezoelectric materials and the generalized linear equivalent electrical model of the energy storage and harvesting circuits in an accurate and automatized empirical process. The models are originals and predict the extracted maximum power. The methodology presented allows the use of only two load resistor values to empirically verify the value of the output impedance of the harvester previously determined by simulations. This parameter is unknown a priori and is very relevant for optimizing the energy harvesting process based on maximum power point algorithms. The relative error achieved between the theoretical analysis by applying the models and the practical tests with real harvesting systems is under 3%. The environmental concerns are explored, highlighting the main differences between lead-containing (lead zirconate titanate, PZT) and lead-free commercial piezoelectric ceramics in road traffic energy harvesting applications.
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This work presents a hardware/software data acquisition system developed for monitoring the temperature in real time of the cells in Air-Cooled Polymer Electrolyte Fuel Cells (AC-PEFC). These fuel cells are of great interest because they can carry out, in a single operation, the processes of oxidation and refrigeration. This allows reduction of weight, volume, cost and complexity of the control system in the AC-PEFC. In this type of PEFC (and in general in any PEFC), the reliable monitoring of temperature along the entire surface of the stack is fundamental, since a suitable temperature and a regular distribution thereof, are key for a better performance of the stack and a longer lifetime under the best operating conditions. The developed data acquisition (DAQ) system can perform non-intrusive temperature measurements of each individual cell of an AC-PEFC stack of any power (from watts to kilowatts). The stack power is related to the temperature gradient; i.e., a higher power corresponds to a higher stack surface, and consequently higher temperature difference between the coldest and the hottest point. The developed DAQ system has been implemented with the low-cost open-source platform Arduino, and it is completed with a modular virtual instrument that has been developed using NI LabVIEW. Temperature vs time evolution of all the cells of an AC-PEFC both together and individually can be registered and supervised. The paper explains comprehensively the developed DAQ system together with experimental results that demonstrate the suitability of the system.
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Objective To develope a realtime system for ECG signals acquisition,amplification and network transmission.Methods The raw noisy ECG signals underwent gain amplification,denoising and filtering by a system developed by virtual instrument and LabVIEW,and network component programming was carried out based on TCP/IP.Then the processed ECG signals were transmitted to remote terminals with dual communication model.Results The system behaved well in easy operation,high reliability and man-machine interface,and could be used to realize remote realtime transmission and browsing of ECG signals between the hospital and medical communities.Conclusion The system may be a choice for ECG signals remote acquisition and transmission,and provides references for the development of telemedicine software.
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Objective To design a virtual ECG monitor system based on LabVIEW software and ECG hardware.Methods The ECG sensor from Vernier company and NI ELVIS were used as the signal acquisition platform.The modules of signal acquisition and procession,characteristic parameters extraction and report output were designed with graphical programming language on LabVIEW platform.Results The virtual ECG monitor system could implement reading,procession,analysis,report output by the computer,and individual differences in ECG analysis could be eliminated.Conclusion The system have advantages in easy operation,low cost,multi purposes and etc,and thus it is valuable for the development of miniature andintelligent multiphysiological parameters detection systems.
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Objective: To design a heart rate testing procedure which based on Labview. Methods:Collect the blood oxygen signals of the fingers, which keep in step with the pulse wave. Filter the signals and obtain the pregnant datum by the Labview procedures. Results: Achieve the pulse cycle“T”by Labview processing the blood oxygen signals of the fingers, and gain the heart rate by calculating the pulse in one minute(Pulse is equal to the number of heart beat in one minutes-1/T,the heart rate). Conclusion:It is an important and meaningful work to process the signals. Not only acquire the heart rate, but also prompt and diagnose the diseases of the cardiovascular system. It also can provide some meaningful diagnostic evidence.
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A low frequency (0.5-5 MHz) battery operated sensitive pulsed NQR spectrometer with a transmitter power up to 5 W and a total mass of about 3 kg aimed at detecting (14)N NQR signals, predominantly of illicit materials, was designed and assembled. This spectrometer uses a standard software defined radio (SDR) platform for the data acquisition unit. Signal processing is done with the LabView Virtual instrument on a personal computer. We successfully tested the spectrometer by measuring (14)N NQR signals from aminotetrazole monohydrate (ATMH), potassium nitrate (PN), paracetamol (PCM) and trinitrotoluene (TNT). Such a spectrometer is a feasible component of a portable single or multichannel (14)N NQR based detection device.
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Many studies have presented different approaches for the fault diagnosis with fault models having ± 50% variation in the component values in analog electronic circuits. There is still a need of the approaches which provide the fault diagnosis with the variation in the component value below ± 50%. A new single and multiple fault diagnosis technique for soft faults in analog electronic circuit using fuzzy classifier has been proposed in this paper. This technique uses the simulation before test (SBT) approach by analyzing the frequency response of the analog circuit under faulty and fault free conditions. Three signature parameters peak gain, frequency and phase associated with peak gain, of the frequency response of the analog circuit are observed and extracted such that they give unique values for faulty and fault free configuration of the circuit. The single and double fault models with the component variations from ± 10% to ± 50% are considered. The fuzzy classifier along the classification of faults gives the estimated component value under faulty and faultfree conditions. The proposed method is validated using simulated data and the real time data for a benchmark analog circuit. The comparative analysis is also presented for both the validations.
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Objective: To develop a novel fast auto blood viscosity analyzer based on the relation between flow rate and Casson viscosity of non-Newton fluid such as blood. Methods: Different from the tradition friction method of measuring blood viscosi-ty, the instrument was developed based on the Casson flow equation for blood in round tube and Stokes equation, using virtual instrument technique to calculate the Casson viscosity and stress, and pressure sensor and peristaltic pump to perform a setup. Results: Controlled by the data acquisition system, the blood Casson viscosity and stress were measured quickly and simply. Conclusions: Compared with the similar instruments used in clinic, this analyzer is faster in measurement and has high preci-sion, can determine the apparent viscosity and other Casson parameters of blood at any shear rate, and gives more clinic informa-tion for patients.
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Network labs built with virtual instruments promote the reform of the teaching concept. They also improve the network teaching and reduce the cost of teaching. The application of virtual instruments in the hygiene analytical chemistry network teaching is very necessary.
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A system of detection for ECG signal based on virtual instrument and LabVIEW is introduced.The conception of virtual instrument,ECG amplifier data acquisition(DAQ) and the data procession software are expounded.The system has the function of real-time displaying the ECG,data acquisition and Heart Rate Variability(HRV) analysis.
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Animalcule Identification and Drug Susceptivity System is designed with virtual instrument technology. The paper introduces main functions and the special feature of the software design. It discusses how to accomplish database operations and serial communication with LabVIEW and achieve remote distribution of data with DataSocket tchnology.
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The advantages of LabVIEW are becoming more and more distinct in instruments design.The ECG signals from MIT database are introduced using LabVIEW on software platform.They are treated with band stop,high pass,low pass filters in turn,and then heart rate is analyzed and calculated.Finally the amplitude and duration of QRS are recognized.
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This paper introduces an ECG real time monitoring system based on LabVIEW.With Wavelet transformation,the original ECG signals are processed to increase the accuracy of R peak detection.The feature of real time in this system is ensured by the application of simplified algorithm.The result panel offers various types of HRV information in time domain,including numerical and graphical displays which make the data more intuitional and more convenient to obtain.The system runs well in lab and the result is acceptable.
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A realtime system used for acquisition and analysis of ECG based on LabVIEW is presented in this paper.This realtime system can accomplish the functions such as the acquisition and display of ECG and the calculation of Instantaneous Heart Rate(IHR)and the Average Heart Rate(AHR).The system can be implemented easily.In addition,the user can modify and add functions of the system according to his needs conveniently.
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A new method of acquiring electromyographic is presented.An EMG signal acquisition system is developed based on virtual instrument,which adopts traditional electromyographic instrument,high performance data acquisition card and Labview software.The real-time acquisition,digitalization and display of electromyographic signal are realized through the new system.Adapted to various physiological signals with the expanded functions,the system can be considered as the future physiological instrument's direction.
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This paper introduces the ECG Real-time Signal System,which is developed by the LabVIEW language. The ECG data are readied from signal collecting system by COM port. After a series of process,the ECG waves display on the virtual waveform graph. As a part of Internet ECG Real-time Monitor project,it will be developed into a clinical applied virtual instrument,which has many functions such as storage,web transmission,ECG recognition,ect.
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Objective To develop an ECG telemonitoring system which can meet many needs of cardiopaths with enjoying medical care out of hospitals.Methods The signals of collection and pretreatment in ECG105 that were transmitted to the computer through serial port,the computer's powerful functions in analyzing and processing signal were utilized fully to design ECG telemonitoring system based on virtual instrument by LabVIEW.Results The system can redisplay and analyze the stored signal and judge whether the heart rate is abnormal,and implement ECG data remote transmission.Conclusion The display,storage,redisplay,diagnosis and tekecommunications of ECG can be achieved conveniently and provide convenience for many cardiopaths with its powerful functions and low cost.
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On the basis of ARMT core processor, a biological signal acquisition system with USB2.0 interface is presented in this paper. It is self-developed and Lab VIEW7 is taken as a host communicating software platform for the entire data communication system. The study is mainly focused on the firmware programming for USB chip, the development of USB WDM Driver, and the method for the calling of DLL from Lab VIEW7 to communicate with self-made hardware device.
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LabVIEW is applied to the realization of virtual oscilloscope, and such functions are fulfilled as waveform display, parameter measurement, filter, spectral analysis, data storage and playback.
