Narrow Results

Encoder is the measurement device that plays an important role in the electronic industry. In the process of manufacturing, the current mechanical testing methods are not of very high accuracy or are having problems in data processing algorithms. In this paper, the author represents a method for the testing mechanical work of an encoder product by measuring the torque induced by rotating the encoder. The advantages of this method are the high accuracy, stability and low cost. The accuracy of this method can go upto 95–98%. The measurement system uses LabView software as the data processing application and NI instruments as the data acquisition tools.

Power factor and distortion measuring usually require dedicated and expensive equipments. Computer-based acquisition modules and software provide for a possibility to create simple and nonexpensive methods and instruments for power factor measurement and distortion characterization of small loads and bring all advantages of virtual instrumentation. A new approach to power quality characterization by measuring power factor, distortion, and several other parameters of small electric loads (up to 0.5 kW) will be described in this paper. Besides low price maximum versatility and adaptability are provided without any loss in accuracy.

Wireless local area networks (WLANs) are currently playing an important role in serving the indoor traffic demand. Therefore, there is a need for software-defined radio platforms (SDRs) that can enable the solutions used in these systems to be tested in real environments as well as simulated results. In this paper, we present the SDR-based wireless receiver platform for determining the real-time WLANs performance and provide the comparison of the different channel estimation methods for IEEE 802.11g based on orthogonal frequency division multiplexing (OFDM) operations. The implementation of the receiver comprises the universal software radio peripheral and National Instruments LabVIEW. To determine the real-time receiver tool performance, we emphasized necessary signal processing techniques and different channel estimation methods with varying experimental parameters in real wireless environments. Experimental results report that the SDR-based receiver tool with the LabVIEW in real-time provides the throughput of the OFDM wireless network. The captured throughput performance concerning frame error rate by the receiver is also scrutinized with different channel estimation methods.

Electroencephalography (EEG) is the recording of electrical activity of the brain. The 10–20 system is the standard electrode location method used to acquire EEG data, which uses 21 electrodes to record the electrical activity of the brain. Patient preparation and correct electrode placement are important to obtain reliable outputs. The current 10–20 system consumes greater time for patient preparation and also causes discomfort due to a higher number of electrodes being used or wearing an uncomfortable cap. This paper focuses on reducing the number of electrodes, thus reducing patient discomfort as well as preparation time. Advancement in the field of hardware and software processing has led to the utilization of brain waves for communication between human and the computer. This work deals with EEG-based Brain–Machine Interface (BMI) intended for designing a portable single-channel EEG signal acquisition system. EEG signal was acquired using the data acquisition module [National Instruments (NI) myDAQ] and the signal was viewed in the NI Laboratory Virtual Instrument Engineering Workbench (LabVIEW) environment. It was observed that the peak-to-peak amplitude of alpha, beta and theta waves changes in accordance with the activity the subjects performed. Thus, the developed instrument was tested on 10 different subjects to acquire the alpha, beta and theta waves by performing different activities. From the results, it can be concluded that the developed system can be used for studying a person’s brain waves (alpha, beta and theta) based on the activity performed by the subject with a limited number of electrodes.

Eliminating the Gibbs oscillations that occur during the Finite Impulse Response (FIR) digital filter design with the Fourier Series method will ensure correct filtering. For this reason, the development of the window improves the performance of the filter and, therefore, the system. In this study, the cosh window function is designed using Particle Swarm Optimization, which is a preferred optimization method in many areas. Thus, alternatives to the standard results obtained from the existing traditional calculations will be produced, and different windows that perform the same function will be obtained. In addition, exponential and cosh window functions were designed in LabVIEW environment, which is a graphical programming language-based program, and the designed windows were analyzed at different parameter values. LabVIEW provides a fast and easy programming environment, and it provides the opportunity to realize real-time applications with its external hardware. Utilizing this feature, the amplitude spectrum of cosh window designed in LabVIEW is displayed in real time for different window parameter values. As a result, FIR digital filters were designed using cosh window based on optimization and the cosh window designed in LabVIEW, and the distorted EEG signal was filtered using these filters and displayed in real time.

Nonlinear dynamics of a real plane and periodically forced triple pendulum is investigated experimentally and numerically. Mathematical modeling includes details, taking into account some characteristic features (for example, real characteristics of joints built by the use of roller bearings) as well as some imperfections (asymmetry of the forcing) of the real system. Parameters of the model are obtained by a combination of the estimation from experimental data and direct measurements of the system's geometric and physical parameters. A few versions of the model of resistance in the joints are tested in the identification process. Good agreement between both numerical simulation results and experimental measurements have been obtained and presented. Some novel features of our real system chaotic dynamics have also been reported, and a novel approach of the rolling bearings friction modeling is proposed, among other.

Electrocardiography deals with the electrical activity of the heart. The condition of cardiac health is given by the electrocardiogram (ECG). ECG analysis is one of the most important aspects of research in the field of biomedical sciences and healthcare. The precision in the identification of various parameters in the ECG is of great importance for the reliability of an automated ECG analyzing system and diagnosis of cardiac diseases. Many algorithms have been developed in the last few years, each with their own advantages and limitations. In this work, we have developed an algorithm for 12-lead ECG parameter detection which works in three steps. Initially, the signal is denoised by the wavelet transform approach using a graphical programming language called LabVIEW (Laboratory Virtual Instrument Engineering Workbench). Next, primary features are detected from the denoised ECG signal using Matlab, and lastly, the secondary features related to diabetes are estimated from the detected primary features. Diabetes mellitus (DM), which is characterized by raised blood glucose levels in an individual, affects an estimated 2–4% of the world's population, making it one of the major chronic illnesses prevailing today. Recently, there has been increasing interest in the study of relationship between diabetes and cardiac health. Thus, in this work, we estimate diabetic-related secondary ECG features like corrected QT interval (QTc), QT dispersion (QTd), P wave dispersion (PD), and ST depression (STd). Our software performance is evaluated using CSE DS-3 multi-lead data base and the data acquired at SGGS IE & T, Nanded, MS, which contains 5000 samples recorded at a sampling frequency of 500 HZ. The proposed algorithm gives a sensitivity of 99.75% and a specificity of 99.83%.

In this paper, novel virtual instrumentation based systems for real-time collision-free path planning and tracking control of mobile robots are proposed. The developed virtual instruments are computationally simple and efficient in comparison to other approaches, which act as a new soft-computing platform to implement a biologically-inspired neural network. This neural network is topologically arranged with only local lateral connections among neurons. The dynamics of each neuron is described by a shunting equation with both excitatory and inhibitory connections. The neural network requires no off-line training or on-line learning, which is capable of planning a comfortable trajectory to the target without suffering from neither the too close nor the too far problems. LabVIEW is chosen as the software platform to build the proposed virtual instrumentation systems, as it is one of the most important industrial platforms. We take the initiative to develop the first neuro-dynamic application in LabVIEW. The developed virtual instruments could be easily used as educational and research tools for studying various robot path planning and tracking situations that could be easily understood and analyzed step by step. The effectiveness and efficiency of the developed virtual instruments are demonstrated through simulation and comparison studies.

We report the virtual instrumentation of both time-domain (TD) and spectral-domain (SD) optical coherence tomography (OCT) systems. With a virtual partial coherence source from either a simulated or measured spectrum, the OCT signals of both A-scan and B-scan were demonstrated. The spectrometric detector's pixel number, dynamic range, noise, as well as spectral resolution can be simulated in the virtual spectral domain (SD-OCT). The virtual-OCT system provides an environment for parameter evaluation and algorithm optimization for experimental OCT instrumentation, and promotes the understanding of OCT imaging and signal post-processing processes.

This study presents an intelligent voltammetric system consisting of a personal computer and a digital voltammeter with VXIbus architecture of system control board, voltammetric measurement board and electrode evaluation board. System is designed to provide superior, comprehensive, versatile and convenient storage, analysis and display of electrochemical and voltammetric waveforms. Voltammeter is capable of stand-alone operation or direct PC control through a Labview program and serial communication interface. Stand-alone offers several general voltammetric functions such as electrochemical treatment and evaluation of electrodes and experimental voltammetry. PC connection gives additional functions such as automatic scanning of oxidation potential, expanded storage and processing of experimental data, arbitrary voltammetric waveform parameters, etc. Standalone uses microcontroller and three-bus structure, with EEPROM storing waveform parameters, experimental data and machine code program downloaded from PC. Electrode evaluation board tests electrode quality by measuring electrode equivalent resistance and capacitance, requiring only one button to perform the entire procedure. Minimum potential unit is 1 mV, at which setting the voltage range is −2.05 to +2.05 V. At a minimum unit of 4.9 mV, the voltage range is −10 to +10V. Experimental results are presented using carbon fiber electrode to measure the dopamine concentration in PBS solution, showing minimum oxidation current can be measured to less than 10 pA, with a minimum detectable bulk concentration of less than 10 ppb. The combination of PC with stand-alone voltammeter offers high-speed, precision, automation, versatility and portability, while the VXIbus architecture allows easy expansion capability.

This article introduces the modification of a self-developed prototype electrical stimulator. In addition, we describe our new design of a versatile and user-friendly toolbox based on the LabVIEW environment that will enable clinical users and physicians to easily go on to further applications and research. The prototype electrical stimulator is based on the digital signal processor, and the drive stage of the previous model has also been improved by using a modified constant-current circuit. Moreover, we use LabVIEW to implement the man-machine interface and to develop a user-friendly toolbox. This system is versatile and feasible from the viewpoint of the hardware and software designs. With the virtual instrument in the toolbox, the man-machine interface is easy for users to implement and helpful in their further research. Furthermore, this toolbox includes many units and parameters, such as waveform types, currents, stimulation time, and others. The system can be considered a versatile and full-featured stimulator for various applications, with its high flexibility in stimulation patterns and multi-channel designs. The proposed system can produce suitable electrical stimulation by tuning the parameters in the interface. The procedure described above can also be implemented in man-machine interfaces for different research purposes.

Due to the rapid development of computer science, software, and biomedical engineering, many clinical diagnosis instruments and control system improved accordingly. The minimization and practicality of sensors, as well as the efficiency and stability of computers make simulation control system in medical instruments become the most important part of developing items. The relevant subject of course, virtual biomedical instrumentations (VBI), which combined with computer science, electrical engineering, and medical science, has become a major developing course in biomedical education.

Cross-disciplinary research needs experts in different areas and most cross-disciplinary schools cannot afford it. So it requires integration and cooperation between schools. To address this issue, a graduated course has been designed to provide an opportunity for all professions in each field to discuss and share their resources on an e-learning platform.

With the progress of the project, VBI course integrates biomedical education resources from north to south colleges to reduce the request of manpower for cross-disciplinary course of biomedical. In addition, VBI courses initiate the cooperation between academic community and industry.

This paper presents the design and development of a prototype for remote ECG data transmission based on Internet-enabled health care services and telemedicine fundamentals. An ECG acquisition system developed by the authors is used to acquire the ECG signal in lead-II configuration from patient and store it in .lvm format in a PC interfaced to patient module through RS232. This unit (data server) on the patient side then transfers the data to a remote client (on doctor's side) using TCP/IP as network protocol on LabVIEW 8.20 environment. Using this device, a specialist doctor can telematically move to the patient site and instruct medical personnel when handling a patient. During the last years, more and more modern tools have found their ways to different tasks during the design, the realization, and data processing in the area of Internet access to the e-health services. The telemedicine system demonstrated in this work is a combined real-time and store-and-forward facility.

The sensor is a kind of device about electrochemical science, its applications include clinical and environmental analyses, physiology, and process control; therefore, how to accurately detect the signal of the sensor is one of the most important things for analyzing the characteristics of sensor. For potentiometric device, this study relates to a multielectrode measurement system based on the programable software, LabVIEW, forming a virtual instrument (VI). This system is built as a voltage versus time (V–T) framework and a dynamic detection system. We selected two devices, a digital multimeter (HP 34401A) and a homemade VI, synchronously to measure the sources of a direct current (DC) signal and an electrode cell (EC), respectively. The maximum errors between the two devices are 0.639 mV in DC supply and 0.345 mV in EC supply, which specifies that the efficiency of design measurement system is good for detection.

LabVIEW has complete development and compiler environment, so the display, saved and transmission interface, etc. are compiled by LabVIEW software in this study. LabVIEW and microcontroller can be integrated for the platform of ion concentration measurement, as well as the acquisition of sensing signal can be obtained via microcontroller. Moreover, the pCl and pH value can be separated in platform of ion concentration measurement. Besides, the platform of ion concentration measurement is measured in pCl2 standard solution, the results are between pCl1.83 and pCl2.08. Hence, the platform of ion concentration measurement has been successfully realized.

An artery stiffness measuring system was developed based on LabVIEW for the multiparameter measurement of cardiovascular hemodynamics. The overall hardware and software design of the system were introduced. The basic theory and methods were described for the calculation of pulse wave velocity (PWV), artery stiffness index (ASI), aorta compliance (C1) and arteriole compliance (C2). In order to illustrate the effectiveness of the system, the comparative clinical trial was performed on 218 participators by measuring carotid intima-media thickness (CIMT) using ultrasonography instrument and measuring the multiparameters by the developed system. In addition, age and blood pressure were divided respectively into five and three groups to analyze their correlation with the multi-parameters of the system. The results showed that the age and blood pressure groups are positively correlated with PWV and ASI, and negatively with C1 and C2; PP, ASI and PWV are positively correlated with CIMT; C2 is negatively correlated with CIMT. The results demonstrated that the system could be used to detect and diagnose artery stiffness from different aspects by measuring the multi-parameters.

Nurse Call systems are used to signal nurses for medical assistance. Present day technology uses push buttons and room lamps integrated with liquid crystal displays (LCDs) at the nurse station in most hospitals in India. Such systems are not automated and also have the risk of false alarms due to mishandling by caretakers. This prototype uses an automated technology, when implemented monitors patients in critical care units continuously and detects specific arrhythmia conditions with the help of thresholds based on pre-set standards and the information is passed on to the nurse station only in case of an emergency thus allowing continuous monitoring of the patient. Since the system is centralized, the CODE BLUE team (Dedicated team in every hospital to attend patients during a cardiac emergency) is also alerted at the same time minimizing the delay in medical assistance. This system would be most useful in emergency conditions such as Cardiac arrest, thus increasing the chances of survival of a patient. For this project, LabVIEW (Laboratory Virtual Instrument Engineering Workbench) 2014 version (software) and National Instruments MyRIO (NI Reconfigurable Input/Output) hardware are used. On comparison with some of the present day nurse call systems, the proposed system is also economical in most of the developing countries such as in India.

This paper present a system for temperature monitoring and command based on GSM networks which can be used in smart home. The system made use of GSM networks, the temperature controller, transducers and LabVIEW to achieve remote monitoring. The user can set the temperature by sending a message and be informed by receiving an over-temperature alarm message. The result shows that this system not only can be controlled by GSM and set a given temperature, but also can automatically send the alert message or make an emergency phone call to a given telephone number

Through the analysis of previous lumbar disease treatment and in order to solve the shortcomings of the traditional method that it can't long time treatment continuously and not multipoint treatment, this paper puts forward a kind of intelligent physiotherapy system based on single chip microcomputer and myRIO. myRIO and single-chip combined with computer for each degree of freedom movement of the bed is used to implement distributed control. The DC motors achieve quick or slow traction and quick or slow rotation of bed body at any angle. The paper also describes the use of LabVIEW to complete development of host computer software application, in order to achieve the physical therapy of lumbar spinal disease. Ultimately we achieved the treatment of neck, spine and lumbar spine disease.

This paper proposes the design of a state monitoring system for energy-storing closing spring, to ensure the reliable and safe operation of the spring operating mechanism in circuit breakers. Firstly, the LW25-126 SF6 circuit breaker is used as the experimental sample. Secondly, the photoelectric encoder is utilized to monitor the stroke curve of closing contact. Thirdly, the acceleration sensor monitors the working stroke of closing spring. Fourthly, the pressure sensor is used to monitor the closing pressure. Lastly, the current transformer monitors the current of the energy-storing motor. In addition, the output data of these sensors is collected by the MPS-140801 acquisition card to be read and processed by LabVIEW before the processed data is displayed and stored in the upper computer. The analysis results demonstrate that the state of energy-storing close spring can be accurately monitored by using the proposed state-monitoring system.