Creamino: A Cost-Effective, Open-Source EEG-Based BCI System

Guermandi, Marco; Placati, Silvio; Scarselli, Eleonora Franchi; Guerrieri, R.

doi:10.1109/tbme.2018.2863198

Cited by 24 publications

(16 citation statements)

References 30 publications

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“…Other frameworks such as the Neuroscience Information Toolbox [61] are focused on providing means for multimodal analysis. The development of EEG hardware also shows a similar trend, where expensive EEG equipment is being replaced by cheaper open sourced alternatives such as the Open Ephys+ EEG apparatus [62] and Creamino [63]. An important milestone for EEG-driven research is the transition from apparatus which are characterized with long electrodes placement time, scalp preparation and a wired cap connected to the computer (via EEG amplifier), to a relatively short long electrodes placement time, user-friendly wireless systems.…”

Section: Discussionmentioning

confidence: 99%

Integrated Development Environment for EEG-Driven Cognitive-Neuropsychological Research

Jacobsen

Meiron

Salomon

et al. 2020

IEEE J. Transl. Eng. Health Med.

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Background: EEG-driven research is paramount in cognitive-neuropsychological studies, as it provides a non-invasive window to the underlying neural mechanisms of cognition and behavior. A myriad collection of software and hardware frameworks has been developed to alleviate some of the technical barriers involved in EEG-driven research. Methods: we propose an integrated development environment which encompasses the entire technical ''data-collection pipeline'' of cognitive-neuropsychological research, including experiment design, data acquisition, data exploration and analysis in a state-of-the-art user interface. Our framework is based on a unique integration between a python-based web framework, time-oriented databases and object-based data schemes. Results: we demonstrated our framework with the recording and analysis of an n-Back task completed by 15 elderly (ages 50 to 80) participants. This case study demonstrates the highly utilized nature of our integrated framework with a challenging target population. Furthermore, our results may provide new insights into the correlation between brain activity and working memory performance in elderly people, who are prone to experience accelerated decline in executive prefrontal cortex functioning. Conclusion: our framework extends the range of EEG-driven experimental methods for assessing cognition available for cognitive-neuroscientists, allowing them to concentrate on the creative part of their work instead of technical aspects.

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Section: Discussionmentioning

confidence: 99%

Integrated Development Environment for EEG-Driven Cognitive-Neuropsychological Research

Jacobsen

Meiron

Salomon

et al. 2020

IEEE J. Transl. Eng. Health Med.

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“…In addition, as assembling an Ultracortex-like headset frame, our design will cost only about 10 USD (using 35 rings, 58 bridges, and 116 shields) by PLA and EVA filaments. Aside from continuous innovation for electrode and amplifier technologies [4,6,8,22,23,24,25,26,27,28,29,30,31], this study contributed to a cost-efficient, montage-customable headset assembly infrastructure for a range of applications. It is worth noting that the proposed assembly grid has the capability of inserting a variety of commercial electrodes (i.e., electrode adaptor required) and wiring them to a commercial amplifier if a direct connection is feasible (e.g., OpenBCI Ganglion/Cyton biosensing board).…”

Section: Discussionmentioning

confidence: 99%

“…Aside from commercial products, continuous research effort has been invested in hardware innovation from the aspects of enhancing signal quality, device usability and mobility, cost efficiency, and practical applicability. Most endeavors have been directed to the counterparts of dry electrode [6,22,23,24,25,26,27,28], signal amplifier [4,8,22,29,30,31], and standalone computing [30]. Many commercial or customized mobile devices can be useful and provide acceptable/promising signal quality for specific circumstances.…”

Section: Introductionmentioning

confidence: 99%

Cost-efficient and Custom Electrode-holder Assembly Infrastructure for EEG Recordings

Lin

Chen

2019

Sensors

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Mobile electroencephalogram (EEG)-sensing technologies have rapidly progressed and made the access of neuroelectrical brain activity outside the laboratory in everyday life more realistic. However, most existing EEG headsets exhibit a fixed design, whereby its immobile montage in terms of electrode density and coverage inevitably poses a great challenge with applicability and generalizability to the fundamental study and application of the brain-computer interface (BCI). In this study, a cost-efficient, custom EEG-electrode holder infrastructure was designed through the assembly of primary components, including the sensor-positioning ring, inter-ring bridge, and bridge shield. It allows a user to (re)assemble a compact holder grid to accommodate a desired number of electrodes only to the regions of interest of the brain and iteratively adapt it to a given head size for optimal electrode-scalp contact and signal quality. This study empirically demonstrated its easy-to-fabricate nature by a low-end fused deposition modeling (FDM) 3D printer and proved its practicability of capturing event-related potential (ERP) and steady-state visual-evoked potential (SSVEP) signatures over 15 subjects. This paper highlights the possibilities for a cost-efficient electrode-holder assembly infrastructure with replaceable montage, flexibly retrofitted in an unlimited fashion, for an individual for distinctive fundamental EEG studies and BCI applications.

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“…The resultant ERP outcome empirically evidenced the validity and reliability of the proposed system in terms of signal quality, EEG-event synchronization, and inter-amplifier coordination. It is worth noting that there was a recent endeavor to innovate portable/wearable EEG-sensing technology by retrofitting/ customizing amplifiers [39]- [42]. The present work departed from previous works contributively with respect to exploring a cost-efficient, customizable hardware infrastructure for simultaneous recordings of multiple subjects.…”

Section: Introductionmentioning

confidence: 87%

Cost-Efficient, Portable, and Custom Multi-Subject Electroencephalogram Recording System

Chuang

Lin

2019

IEEE Access

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Multi-subject electroencephalogram (EEG) computing has attracted increasing interest in recent years. Commercial EEG headsets often lead to a space-required or cost-expensive setup for obtaining simultaneous recordings of multiple subjects. The sparsity or immobility of their electrode placements may compromise their realistic applicability. Thus, this work developed a cost-efficient, portable, and customizable system to mitigate these constraints. The developed system implemented two core hardware infrastructures, including an event broadcaster and a dry electrode-compatible EEG amplifier by assembling entirely low-cost, off-the-shelf electronic components. The broadcaster allowed distribution of event markers to multiple EEG amplifiers concurrently, whereas the amplifier transmitted the digitized, eventsynchronized EEG signals wirelessly. By conducting an oddball event-related potential (ERP) experiment with simultaneous recordings of three subjects on 10 days, the system reliably captured the time-and phaselocked ERP components (e.g., N100 and P300 amplitudes) by single-subject, multi-subject, and multi-day analytical approaches. The practicality and stability of the proposed system was empirically demonstrated in terms of the signal quality, EEG-event synchronization, and inter-amplifier coordination for a multi-subject setup. This work sheds light on how to economically facilitate and scale up multi-subject EEG computing for fundamental research and for brain-computer interface (BCI) applications in a larger subject population.

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Creamino: A Cost-Effective, Open-Source EEG-Based BCI System

Cited by 24 publications

References 30 publications

Integrated Development Environment for EEG-Driven Cognitive-Neuropsychological Research

Integrated Development Environment for EEG-Driven Cognitive-Neuropsychological Research

Cost-efficient and Custom Electrode-holder Assembly Infrastructure for EEG Recordings

Cost-Efficient, Portable, and Custom Multi-Subject Electroencephalogram Recording System

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