MYOS: an efficient multichannel EMG data acquisition and analysis system

Electroencephalographic effects of nicotine chewing gum in humans

Aiming at a multi-channel data acquisition and transmission system based on FPGA, the design scheme, functional circuit and logic design method of the system are introduced in detail. The system uses FPGA as the control core to control TLC2543 analog-to-digital converter and complete the circulation acquisition of 11-channel analog data. The transmission end uses Ethernet chip RTL8201 to communicate with the upper computer, which can monitor the data changes of each channel. The correctness of each function module is verified by software simulation. The design can meet the requirements of multi-channel signal acquisition and transmission.

In order to meet the tomato color sorting system with the requirements of multi-channel data acquisition and real-time processing, [ ]firstly, a multi-channel color digital acquisition and processing technique program based on FPGA were proposed . Then, a multi-channel data acquisition and real-time parallel processing system was built. The RGB color sensors were slected as detection components and the FPGA chip EP1C3T144C8 was slected as a core of data acquisition and processing. Meanwhile, ports of signal acquisition and the solenoid valve control were adopted a two-way analog switch HC4051 for saving I/O ports of FPGA. Thirdly, under the modular design and module reuse principles, we developed all modules with VHDL Language in QuartusII development environment. Finally, RTL and time sequence simulation for the system were done. The results showed that the connections between the modules accord with control logics. [²»´o¶O accorded ¹ýE¥E½] The performance of system time sequencev are good, which can meet with the requirements of real-time processing of tomato color sorting. On these bases, we also conducted a tomato sorting test verification. The results showed that the average accuracy of sorting is 98.70% and coefficient of variation is 0.01. This results can meet requirements of production.

Typically, multi-single-element photoacoustic computed tomography (PACT) systems utilize numerous ultrasound transducers arranged in cylindrical or hemispherical configurations for detection, combined with a single diffuse light source or multiple sparse light sources to illuminate the imaging target. While these systems produce high-quality 3D PA images, they require complex, multi-channel data acquisition (DAQ) systems to acquire data from all transducers. These DAQ systems are often bulky and expensive, significantly limiting the clinical translation of PACT systems for patient care. In this study, we evaluated the feasibility of using a compact and cost-effective Texas Instruments analog front-end DAQ module for multi-single-element PACT systems. By imaging a simple 3D phantom, we demonstrated the capability of this affordable DAQ board, with reconstructed images showing promise for practical and economical solutions in PACT systems. This advancement paves the way for broader applications of PACT in both research and clinical settings.

A virtual multi-channel data acquisition system is developed based on computer technology and the virtual instrument development platform of LabWindows/CVI of NI Company of America. The PCI-6024E data acquisition card of NI Company of America is used as gateway device, and the Data Acquisition Library and data I/O function library (I/O for DAQ) provided by Lab Windows/CVI of NI company are used to abbreviate programs to realize data acquisition of the real physical signals and do frequency analysis. This paper introduces the technology of hardware configuration, data acquisition, waveforms display and so forth of the virtual data acquisition system. And an analysis is done about the time domain analysis module. Through testing proof, this virtual instrument system can realize the function of traditional data collection system completely, has more strong function even.Key wordsData AcquisitionWaveforms DisplayVirtual InstrumentSpectrum Analysis

Lidar has emerged as an important technology for the high-precision three-dimensional remote sensing of the ocean. While oceanic lidar has been widely deployed on various platforms, its underwater deployment is relatively limited, despite its significance in deep-sea exploration and obstacle avoidance for underwater platforms. Underwater lidar systems must meet stringent requirements for high performance, miniaturization, and high integration. Single-photon lidar, by elevating the detection sensitivity to the single-photon level, enables high-performance detection under the condition of a low-pulse-energy laser and a small-aperture telescope, making it a stronger candidate for underwater lidar applications. However, this imposes demanding requirements for the data acquisition system utilized in single-photon lidar systems. In this work, a self-developed multi-channel acquisition system (MCAS) with a high-resolution and real-time histogram statistics capability was developed. By utilizing field-programmable gate array (FPGA) technology, a method that combines coarse counters with multi-phase clock interpolation achieved an impressive resolution of 0.5 ns and enabled a time of flight duration of 1.5 μs. To address counting instability, a dual-counter structure was adopted in the coarse counter, and real-time histogram statistics were achieved in the data acquisition system through a state machine. Furthermore, the non-uniform phase shift of the clock was analyzed, and a correction algorithm based on code density statistics was proposed to mitigate the periodic modulation of the backscattered signal, with the effectiveness of the algorithm demonstrated through experimental results. The robustness and stability of the MCAS were validated through an underwater experiment. Ultimately, the development of this compact acquisition system enables the implementation of underwater single-photon lidar systems, which will play a crucial role in underwater target imaging, obstacle avoidance in underwater platforms, and deep-sea marine environment monitoring.

A computer based data acquisition (DAQ) system plays an important role in Health Monitoring of any machine. Health Monitoring of a reciprocating air compressor using a computer based DAQ system and timely identification of potential faults can prevent failures. In this paper we have employed a graphical user interface for data acquisition that allows flexible acquisition and processing of analog and digital data. The first stage of Health Monitoring procedure is dedicated to collection of all necessary information about the machine. Our research is focused for finding sensitive positions. Also we have compared sensitive positions under healthy condition with the faulty condition.

Data acquisition techniques for computer-based systems are discussed for making continuous pressure, temperature and flow measurements. To ensure that the data faithfully represent the essential signal content over the time interval of interest, the important considerations for each system are measurement resolution, signal bandwidth, sampling, filtering and aliasing. Key data transmission techniques are discussed, starting with downhole recorders that must be hauled out of the hole for data retrieval, to telemetry systems for sending real-time or bulk data transmissions to the surface. The important issues for downhole recorders are storage media and capacity. For signal transmission systems, the issues are information modulation, data and error rate, and signal-to-noise ratio.

The evaporator process at TA-55 reduces the amount of transuranic liquid radioactive waste by separating radioactive salts from relatively low-level radioactive nitric acid solution. A computer-based supervisory control and data acquisition (SCADA) system has been installed on the process that allows the operators to easily interface with process equipment. Individual single-loop controllers in the SCADA system allow more precise process operation with less human intervention. With this system, process data can be archieved in computer files for later analysis. Data are distributed throughout the TA-55 site through a local area network so that real-time process conditions can be monitored at multiple locations. The entire system has been built using commercially available hardware and software components.

This paper presents an implementation of a multi-channel measuring data acquisition interface of corrector magnet power supplies (CMPS) for Taiwan Photon source (TPS) with LabVIEW as the developing tool. The multi-channel measuring data acquisition interface could reduce quantity of measurement instrument and loading of operator at the CMPS acceptance test. The instrument devices of measurement system include a multiplexer, a dynamic signal analyzer (DSA) and a high-resolution digital voltage meter (DVM), GPIB is the communication interface between the multi-channel measuring data acquisition interface and instruments. There are two analyzing procedures for the output current of CMPS in the default setting of the LabVIEW program, 1) Fast Fourier Transform of output current measured by DSA, 2) long-term stability of output current measured by DVM; after these two analyzing procedures are completed, the performance of each CMPS can be automatically generated as a Microsoft Word report file.

A data acquisition and analysis system has been set up for on-line measurements of spatial variation of optical density using a microdensitometer. The entire processing and control of analog and digital signals as well as data analysis and plotting is carried out using a Window 95/98 based software ‘DEPICT’ developed for the purpose. Any possible errors due to variations in the scanning motor speed, intensity of the light source, and the amplifier gain are avoided by adding a shaft encoder, a photo-detector, and an on-line calibration set up. Optical density scans with a spatial accuracy better than 25 micron over large scan lengths are obtained upto an optical density of 2.5. The data acquisition and analysis system is simple, inexpensive, and is easily adaptable to various other instruments.

Digital phased array antennas (DPAAs) have been widely used in modern radar systems. The flexible production and testing of large-scale DPAAs are becoming a hot research topic. The dedicated calibration elements are passive because they do not have transmitter and receiver modules. These elements cannot be used to test DPAAs. In this paper, we design a multichannel automatic test and data acquisition system for DPAAs. Our motivation is to use the system to verify the correctness and stability of an entire DPAA. The system can achieve snapshot data acquisition of 1152 optical fibers, and it can also process echo data in real time by digital beam forming (DBF) and record the processing results. At present, the system has been put into production for testing of large-scale DPAAs, and it can test the DPAA flexibly and steadily.

With the rapid development of the WoT, acquisition requirements to the data grow with each passing day. However, the existing data acquisition systems usually use the upload mode. Uploading data not only takes a lot of time, but also requires staff to continuously monitor on duty. Aiming at the problem of enterprise management data acquisition, a WoT-based enterprise management data acquisition and analysis system is constructed. The system obtains multiple monitoring data through the data acquisition module and integrates these data through the processing module, which can solve the problems of traditional data acquisition systems. In order to effectively fuse data, based on canonical correlation analysis (CCA), the multiple order statistics correlation discrimination analysis algorithm is proposed as a fusion strategy. Experimental results show that the fusion strategy based on CCA can effectively integrate monitoring data and accurately identify different characters.

A contemporary system building design notation was adopted for the engineering of TRIUMF's new VAX-based data acquisition and analysis system. The requirements of automated systems' design notations are discussed and the elements of the chosen notation described. Finally the group's experience in designing a data acquisition system with these techniques is presented.

Data acquisition and analysis systems (DAAS) are hardware/software systems with a strong dependence on the features of the process under control, where the amount of data and the sampling frequency of signals to be processed are the main critical aspects of the system. Nowadays DAAS applications are designed according to the specific needs of each particular field. These solutions produce ad hoc software developments, very difficult to reuse. Nevertheless, the basic structure of DAAS is the same across all the different application fields. GEODAS is an EU-funded project whose goal is to develop a framework of reusable, generic components focused on the high-performance DAAS domain. These components capture the generic behaviour of data acquisition systems and offer a new approach for the creation of these systems, which is more modular, reusable, independent from the electronics interface and more platform independent. This paper describes the application of component-based software engineering concepts in an industrial, high-performance, real-time application domain.