ArticleJournal of neural engineering2017
Open Ephys electroencephalography (Open Ephys + EEG): a modular, low-cost, open-source solution to human neural recording.
Article in Journal of neural engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed.
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- Biochemical implications of robotic surgery: a new frontier in the operating room.Journal of robotic surgery · 2024Review
- Toolkit for Oscillatory Real-time Tracking and Estimation (TORTE).Journal of neuroscience methods · 2022Article
- Embodiment of a virtual prosthesis through training using an EMG-based human-machine interface: Case series.Frontiers in human neuroscience · 2022Article
- GI-SleepNet: A Highly Versatile Image-Based Sleep Classification Using a Deep Learning Algorithm.Clocks & sleep · 2021Article
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- Article
- Building capacity through open approaches: Lessons from developing undergraduate electrophysiology practicals.F1000Research · 2021Article
- Article
- Integrated Development Environment for EEG-Driven Cognitive-Neuropsychological Research.IEEE journal of translational engineering in health and medicine · 2020Article
- Developing Next-generation Brain Sensing Technologies - A Review.IEEE sensors journal · 2019Article
- A Prospective Study of the Impact of Transcranial Alternating Current Stimulation on EEG Correlates of Somatosensory Perception.Frontiers in psychology · 2018Article
- Low cost and open source multi-fluorescence imaging system for teaching and research in biology and bioengineering.PloS one · 2017Article
- Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
objectiveElectroencephalography (EEG) offers a unique opportunity to study human neural activity non-invasively with millisecond resolution using minimal equipment in or outside of a lab setting. EEG can be combined with a number of techniques for closed-loop experiments, where external devices are driven by specific neural signals. However, reliable, commercially available EEG systems are expensive, often making them impractical for individual use and research development. Moreover, by design, a majority of these systems cannot be easily altered to the specification needed by the end user. We focused on mitigating these issues by implementing open-source tools to develop a new EEG platform to drive down research costs and promote collaboration and innovation. APPROACH: Here, we present methods to expand the open-source electrophysiology system, Open Ephys (www.openephys.org), to include human EEG recordings. We describe the equipment and protocol necessary to interface various EEG caps with the Open Ephys acquisition board, and detail methods for processing data. We present applications of Open Ephys + EEG as a research tool and discuss how this innovative EEG technology lays a framework for improved closed-loop paradigms and novel brain-computer interface experiments. MAIN
resultsThe Open Ephys + EEG system can record reliable human EEG data, as well as human EMG data. A side-by-side comparison of eyes closed 8-14 Hz activity between the Open Ephys + EEG system and the Brainvision ActiCHamp EEG system showed similar average power and signal to noise. SIGNIFICANCE: Open Ephys + EEG enables users to acquire high-quality human EEG data comparable to that of commercially available systems, while maintaining the price point and extensibility inherent to open-source systems.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.