Literature DB >> 28571426

Versatile synchronized real-time MEG hardware controller for large-scale fast data acquisition.

Limin Sun1, Menglai Han2, Kevin Pratt2, Douglas Paulson2, Christoph Dinh3, Lorenz Esch3, Yoshio Okada1, Matti Hämäläinen4.   

Abstract

Versatile controllers for accurate, fast, and real-time synchronized acquisition of large-scale data are useful in many areas of science, engineering, and technology. Here, we describe the development of a controller software based on a technique called queued state machine for controlling the data acquisition (DAQ) hardware, continuously acquiring a large amount of data synchronized across a large number of channels (>400) at a fast rate (up to 20 kHz/channel) in real time, and interfacing with applications for real-time data analysis and display of electrophysiological data. This DAQ controller was developed specifically for a 384-channel pediatric whole-head magnetoencephalography (MEG) system, but its architecture is useful for wide applications. This controller running in a LabVIEW environment interfaces with microprocessors in the MEG sensor electronics to control their real-time operation. It also interfaces with a real-time MEG analysis software via transmission control protocol/internet protocol, to control the synchronous acquisition and transfer of the data in real time from >400 channels to acquisition and analysis workstations. The successful implementation of this controller for an MEG system with a large number of channels demonstrates the feasibility of employing the present architecture in several other applications.

Entities:  

Year:  2017        PMID: 28571426     DOI: 10.1063/1.4983080

Source DB:  PubMed          Journal:  Rev Sci Instrum        ISSN: 0034-6748            Impact factor:   1.523


  2 in total

1.  MNE Scan: Software for real-time processing of electrophysiological data.

Authors:  Lorenz Esch; Limin Sun; Viktor Klüber; Seok Lew; Daniel Baumgarten; P Ellen Grant; Yoshio Okada; Jens Haueisen; Matti S Hämäläinen; Christoph Dinh
Journal:  J Neurosci Methods       Date:  2018-04-03       Impact factor: 2.390

2.  Noise cancellation for a whole-head magnetometer-based MEG system in hospital environment.

Authors:  Limin Sun; Matti S Hämäläinen; Yoshio Okada
Journal:  Biomed Phys Eng Express       Date:  2018-08-07
  2 in total

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