The Multi Unit Activity analyzer: a Windows™ based hardware–software system for low cost, high speed analog to digital data conversion, data acquisition and window discrimination

1998 ◽  
Vol 56 (3) ◽  
pp. 273-275 ◽  
Author(s):  
J.K Van den Saffele ◽  
F Schoonjans ◽  
D De Gruytere ◽  
C Gao ◽  
J.M Kaufman
Keyword(s):  
Data Acquisition ◽  
Unit Activity ◽  
High Speed ◽  
Low Cost ◽  
Digital Data ◽  
Data Conversion ◽  
Software System ◽  
Analog To Digital

A medium-scale hybrid interface

SIMULATION ◽  
1968 ◽  
Vol 10 (5) ◽  
pp. 225-233 ◽  
Author(s):  
G.P. Marston ◽  
J.S. MacDonald
Keyword(s):  
Digital Computer ◽  
High Speed ◽  
Data Transfer ◽  
Low Cost ◽  
Analog Computer ◽  
Digital Data ◽  
Analog To Digital ◽  
Medium Scale ◽  
Signal Selection ◽  
Hybrid Interface

A flexible, low-cost hybrid interface linking a DEC PDP-9 digital computer with an EAI 231 R-V analog computer is described. The interface includes provision for complete mode control of the 231 R-V by the PDP-9, as well as signal selection and potentiometer setting facilities. Data transfer is accomplished by using double-buffered D/A registers with provision for controlling the transfer of data from either the analog or digital side of the interface. In addi tion, provision is made for the updating of several D/A channels simultaneously. A sixteen channel analog multi plexer with a settling-time of less than two microseconds has been designed and is employed with a twelve-bit twenty-microsecond A/D converter for high-speed analog- to-digital data transfer.

scholarly journals A Teensy microcontroller-based interface for optical imaging camera control during behavioral experiments

2018 ◽  
Author(s):  
Michael Romano ◽  
Mark Bucklin ◽  
Dev Mehrotra ◽  
Robb Kessel ◽  
Howard Gritton ◽  
...  
Keyword(s):  
Data Acquisition ◽  
High Speed ◽  
Low Cost ◽  
Image Acquisition ◽  
Trace Conditioning ◽  
Digital Data ◽  
Behavioral Experiments ◽  
Temporal Precision ◽  
Camera Control ◽  
Behavioral Paradigm

AbstractBackgroundSystems neuroscience experiments often require the integration of precisely timed data acquisition and behavioral monitoring. While specialized commercial systems have been designed to meet various needs of data acquisition and device control, they often fail to offer flexibility to interface with new instruments and variable behavioral experimental designs.New methodWe developed a Teensy 3.2 microcontroller-based interface that offers high-speed, precisely timed behavioral data acquisition and digital and analog outputs for controlling sCMOS cameras and other devices.ResultsWe demonstrate the flexibility and the temporal precision of the Teensy interface in two experimental settings. We first used the Teensy interface for reliable recordings of an animal’s directional movement on a spherical treadmill, while delivering repeated digital pulses that can be used to control image acquisition from a sCMOS camera. In another example, we used the Teensy interface to control temporally precise delivery of an auditory stimulus and a gentle eye puff in a trace conditioning eye blink behavioral paradigm, while delivering repeated digital pulses to initiate camera image acquisition.Comparison with existing methodsThis interface allows high-speed and temporally precise digital data acquisition and device control during diverse behavioral experiments.ConclusionThe Teensy interface, consisting of a Teensy 3.2 and custom software functions, provides a temporally precise, low-cost, and flexible platform to integrate sCMOS camera control into behavioral experiments.

scholarly journals The Acquisition Rate and Soundness of a Low-Cost Data Acquisition System (LC-DAQ) for High Frequency Applications

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 524 ◽  
Author(s):  
Ciro Moreno ◽  
Alejandro González ◽  
José Luis Olazagoitia ◽  
Jordi Vinolas
Keyword(s):  
Data Acquisition ◽  
High Frequency ◽  
High Speed ◽  
Low Cost ◽  
Data Retrieval ◽  
Cost Data ◽  
High Rate ◽  
Acquisition Rate ◽  
Open Platform ◽  
Speed Up

This article presents a novel and reliable low-cost data acquisition solution for high frequency and real-time applications in vehicular dynamics. Data acquisition systems for highly dynamic systems based on low-cost platforms face different challenges such as a constrained data retrieval rate. Basic data reading functions in these platforms are inefficient and, when used, they limit electronics acquisition rate capabilities. This paper explains a new low-cost, modular and open platform to read different types of sensors at high speed rates. Conventional reading functions are avoided to speed up acquisition rate, but this negatively affects data reliability of the system. To solve this and exploit higher data managing rates, a number of custom secure layers are implemented to secure a reliable acquisition. This paper describes the new low-cost electronics developed for high rate acquisition applications and inspects its performance and robustness against the introduction of an increasing number of sensors connected to the board. In most cases, acquisition rates of the system are duplicated using this new solution.

Low Noise EEG Amplifier Board for Low Cost Wearable BCI Devices

2016 ◽  
Vol 5 (2) ◽  
pp. 17-28
Author(s):  
Ravim ◽  
Suma K. V.
Keyword(s):  
Noise Reduction ◽  
Digital Signal Processor ◽  
Low Cost ◽  
Processing System ◽  
Digital Signal ◽  
Low Noise ◽  
Digital Data ◽  
Signal Processing System ◽  
Analog To Digital ◽  
Reduction Techniques

Designing a real-time BCI device requires an Electroencephalogram (EEG) acquisition system and a signal processing system to process that acquired data. EEG acquisition boards available in market are expensive and they are required to be connected to computer for any processing work. Various low cost Digital Signal Processor (DSP) boards available in market come with internal Analog to Digital converters and peripheral interfaces. The idea is to design a low cost EEG amplifier board that can be used with these commercially available DSP boards. The analog data from EEG amplifier can be converted to digital data by DSP board and sent to computer via an interface for algorithm development and further control operations. EEG amplifiers are highly affected by noise from environment. Proper noise reduction techniques are implemented and simulated in circuit design. Each filter stage and noise reduction circuit is evaluated for a low noise design.

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