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An open-source JavaScript clinical neurophysiology library for education and clinical research.

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Název: An open-source JavaScript clinical neurophysiology library for education and clinical research.
Autoři: Lohi S; Department of Clinical Neurophysiology, North Karelia Central Hospital, Joensuu, Finland.; Department of Clinical Neurophysiology, Kuopio University Hospital, Kuopio, Finland.; Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland., Julkunen P; Department of Clinical Neurophysiology, Kuopio University Hospital, Kuopio, Finland.; Department of Technical Physics, University of Eastern Finland, Kuopio, Finland., Kälviäinen R; Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.; Epilepsy Center, Kuopio University Hospital, Kuopio, Finland., Mervaala E; Department of Clinical Neurophysiology, Kuopio University Hospital, Kuopio, Finland.; Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.
Zdroj: Clinical neurophysiology practice [Clin Neurophysiol Pract] 2026 Feb 06; Vol. 11, pp. 115-125. Date of Electronic Publication: 2026 Feb 06 (Print Publication: 2026).
Způsob vydávání: Journal Article
Jazyk: English
Informace o časopise: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101684308 Publication Model: eCollection Cited Medium: Internet ISSN: 2467-981X (Electronic) Linking ISSN: 2467981X NLM ISO Abbreviation: Clin Neurophysiol Pract Subsets: PubMed not MEDLINE
Imprint Name(s): Original Publication: Amsterdam : Elsevier, [2016]-
Abstrakt: Objective: We present 'Epicurrents', an open-source JavaScript library for processing and displaying neurophysiological signal data in a web browser.
Methods: The library follows a modular architecture to enable support for multiple clinical neurophysiology modalities. It supports open standards such as the European Data Format (EDF) and Digital Imaging and Communications in Medicine (DICOM), with optional Python and Open Neural Network Exchange (ONNX) integrations for scientific signal processing. The application presented in this article is platform agnostic, requires no installation, and is usable both online and offline as a progressive web application.
Results: The library has been tested in real-world educational and research projects and is used by the European Academy of Neurology for hands-on EEG-education in their congresses. While JavaScript's memory management poses limitations for processing large recordings, architectural workarounds such as shared memory buffers and asynchronous processing have resulted in improved performance.
Conclusions: The application presented here is not intended nor certified for clinical diagnostics, but its accessibility and extensibility make it a promising tool for neurophysiology education and research.
Significance: Epicurrents is the first modular JavaScript library for clinical neurophysiology education and illustrates how web technologies can also enhance collaborative scientific research in the field of clinical neurophysiology.
(© 2026 The Author(s).)
Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Contributed Indexing: Keywords: Clinical neurophysiology; Electroencephalography; Electromyography; Nerve conduction studies; Open source; Web application
Entry Date(s): Date Created: 20260220 Date Completed: 20260220 Latest Revision: 20260220
Update Code: 20260220
PubMed Central ID: PMC12914546
DOI: 10.1016/j.cnp.2026.02.001
PMID: 41717536
Databáze: MEDLINE
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  Data: An open-source JavaScript clinical neurophysiology library for education and clinical research.
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  Data: <searchLink fieldCode="AU" term="%22Lohi+S%22">Lohi S</searchLink>; Department of Clinical Neurophysiology, North Karelia Central Hospital, Joensuu, Finland.; Department of Clinical Neurophysiology, Kuopio University Hospital, Kuopio, Finland.; Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.<br /><searchLink fieldCode="AU" term="%22Julkunen+P%22">Julkunen P</searchLink>; Department of Clinical Neurophysiology, Kuopio University Hospital, Kuopio, Finland.; Department of Technical Physics, University of Eastern Finland, Kuopio, Finland.<br /><searchLink fieldCode="AU" term="%22Kälviäinen+R%22">Kälviäinen R</searchLink>; Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.; Epilepsy Center, Kuopio University Hospital, Kuopio, Finland.<br /><searchLink fieldCode="AU" term="%22Mervaala+E%22">Mervaala E</searchLink>; Department of Clinical Neurophysiology, Kuopio University Hospital, Kuopio, Finland.; Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.
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  Data: Objective: We present 'Epicurrents', an open-source JavaScript library for processing and displaying neurophysiological signal data in a web browser.<br />Methods: The library follows a modular architecture to enable support for multiple clinical neurophysiology modalities. It supports open standards such as the European Data Format (EDF) and Digital Imaging and Communications in Medicine (DICOM), with optional Python and Open Neural Network Exchange (ONNX) integrations for scientific signal processing. The application presented in this article is platform agnostic, requires no installation, and is usable both online and offline as a progressive web application.<br />Results: The library has been tested in real-world educational and research projects and is used by the European Academy of Neurology for hands-on EEG-education in their congresses. While JavaScript's memory management poses limitations for processing large recordings, architectural workarounds such as shared memory buffers and asynchronous processing have resulted in improved performance.<br />Conclusions: The application presented here is not intended nor certified for clinical diagnostics, but its accessibility and extensibility make it a promising tool for neurophysiology education and research.<br />Significance: Epicurrents is the first modular JavaScript library for clinical neurophysiology education and illustrates how web technologies can also enhance collaborative scientific research in the field of clinical neurophysiology.<br /> (© 2026 The Author(s).)
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