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Main Title: Toward a Wireless Open Source Instrument: Functional Near-infrared Spectroscopy in Mobile Neuroergonomics and BCI Applications
Author(s): von Lühmann, Alexander
Herff, Christian
Heger, Dominic
Schultz, Tanja
Type: Article
Language Code: en
Abstract: Brain-Computer Interfaces (BCIs) and neuroergonomics research have high requirements regarding robustness and mobility. Additionally, fast applicability and customization are desired. Functional Near-Infrared Spectroscopy (fNIRS) is an increasingly established technology with a potential to satisfy these conditions. EEG acquisition technology, currently one of the main modalities used for mobile brain activity assessment, is widely spread and open for access and thus easily customizable. fNIRS technology on the other hand has either to be bought as a predefined commercial solution or developed from scratch using published literature. To help reducing time and effort of future custom designs for research purposes, we present our approach toward an open source multichannel stand-alone fNIRS instrument for mobile NIRS-based neuroimaging, neuroergonomics and BCI/BMI applications. The instrument is low-cost, miniaturized, wireless and modular and openly documented on It provides features such as scalable channel number, configurable regulated light intensities, programmable gain and lock-in amplification. In this paper, the system concept, hardware, software and mechanical implementation of the lightweight stand-alone instrument are presented and the evaluation and verification results of the instrument's hardware and physiological fNIRS functionality are described. Its capability to measure brain activity is demonstrated by qualitative signal assessments and a quantitative mental arithmetic based BCI study with 12 subjects.
Issue Date: 12-Nov-2015
Date Available: 23-Oct-2019
DDC Class: 600 Technik, Technologie
Subject(s): open source
functional near-infrared spectroscopy
brain computer interface
wearable devices
Journal Title: Frontiers in Human Neuroscience
Publisher: Frontiers Media S.A.
Publisher Place: Lausanne
Volume: 9
Article Number: 617
Publisher DOI: 10.3389/fnhum.2015.00617
EISSN: 1662-5161
Appears in Collections:FG Maschinelles Lernen » Publications

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