Standardization of neurophysiology signal data into the DICOM® standard

Halford, Jonathan J.; Clunie, David A.; Brinkmann, Benjamin H.; Krefting, Dagmar; Rémi, Jan; Rosenow, Felix; Husain, Aatif M.; Fürbass, Franz; Ehrenberg, Joshua Andrew; Winkler, Silvia

doi:10.1016/j.clinph.2021.01.019

Cited by 20 publications

(10 citation statements)

References 4 publications

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“…Precise specification for time synchronization between video and EEG has been standardized in the DICOM format and MED format, although they are not in broad clinical use. 182 Split screen synchronized video and dual screen review may be useful to evaluate paroxysmal neurological events. 183 Digital video (and audio) are typically encoded into MPEG, MPEG2, or MPEG4 formats differing in the degree of resolution and compression algorithms used and synchronized with EEG by use of a time marker, but other audio-video formats can be used successfully.…”

Section: Videomentioning

confidence: 99%

Minimum standards for inpatient long‐term video‐electroencephalographic monitoring: A clinical practice guideline of the International League Against Epilepsy and International Federation of Clinical Neurophysiology

et al. 2021

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The objective of this clinical practice guideline is to provide recommendations on the indications and minimum standards for inpatient long-term videoelectroencephalographic monitoring (LTVEM). The Working Group of the International League Against Epilepsy and the International Federation of Clinical Neurophysiology develop guidelines aligned with the Epilepsy Guidelines Task Force. We reviewed published evidence using the PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analysis) statement. We found limited highlevel evidence aimed at specific aspects of diagnosis for LTVEM performed to evaluate patients with seizures and nonepileptic events. For classification of evidence, we used the Clinical Practice Guideline Process Manual of the American Academy of Neurology. We formulated recommendations for the indications, technical requirements, and essential practice elements of LTVEM to derive minimum standards used in the evaluation of patients with suspected epilepsy using GRADE (Grading of Recommendations Assessment, Development, and Evaluation). Further research is needed to obtain evidence about long-term outcome effects of LTVEM and to establish its clinical utility.

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Section: Videomentioning

confidence: 99%

Minimum standards for inpatient long‐term video‐electroencephalographic monitoring: A clinical practice guideline of the International League Against Epilepsy and International Federation of Clinical Neurophysiology

et al. 2021

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“…It is recommended that users be able to export EEG data for research in Comma Separated Values (CSV) or European Data Format (EDF). The IFCN is working with Digital Communication in Medicine (DICOM) to create a modern format for the storage and exchange of EEG data, which will become available within the next few years 48 …”

Section: Resultsmentioning

confidence: 99%

“…The IFCN is working with Digital Communication in Medicine (DICOM) to create a modern format for the storage and exchange of EEG data, which will become available within the next few years. 48…”

Section: Data Storage and Exportmentioning

confidence: 99%

Routine and sleep EEG: Minimum recording standards of the International Federation of Clinical Neurophysiology and the International League Against Epilepsy

et al. 2023

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This article provides recommendations on the minimum standards for recording routine (“standard”) and sleep electroencephalography (EEG). The joint working group of the International Federation of Clinical Neurophysiology (IFCN) and the International League Against Epilepsy (ILAE) developed the standards according to the methodology suggested for epilepsy‐related clinical practice guidelines by the Epilepsy Guidelines Working Group. We reviewed the published evidence using the Preferred Reporting Items for Systematic Review and Meta‐Analysis (PRISMA) statement. The quality of evidence for sleep induction methods was assessed by the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) method. A tool for Quality Assessment of Diagnostic Studies (QUADAS‐2) was used to assess the risk of bias in technical and methodological studies. Where high‐quality published evidence was lacking, we used modified Delphi technique to reach expert consensus. The GRADE system was used to formulate the recommendations. The quality of evidence was low or moderate. We formulated 16 consensus‐based recommendations for minimum standards for recording routine and sleep EEG. The recommendations comprise the following aspects: indications, technical standards, recording duration, sleep induction, and provocative methods.

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“…However, it is a burdensome process, requiring the on-site extraction of large sets of data to external hard drives and generally implying the conversion of manual annotations to machine-readable formats. Moreover, regardless of recent attempts at standardization of data formats, structure and organization may be specific to each equipment or hospital software, hampering data handling (Halford et al, 2021 ).…”

Section: Related Workmentioning

confidence: 99%

EpiBOX: An Automated Platform for Long-Term Biosignal Collection

Carmo

Abreu

Fred

et al. 2022

Front. Neuroinform.

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Biosignals represent a first-line source of information to understand the behavior and state of human biological systems, often used in machine learning problems. However, the development of healthcare-related algorithms that are both personalized and robust requires the collection of large volumes of data to capture representative instances of all possible states. While the rise of flexible biosignal acquisition solutions has enabled the expedition of data collection, they often require complicated frameworks or do not provide the customization required in some research contexts. As such, EpiBOX was developed as an open-source, standalone, and automated platform that enables the long-term acquisition of biosignals, passable to be operated by individuals with low technological proficiency. In particular, in this paper, we present an in-depth explanation of the framework, methods for the evaluation of its performance, and the corresponding findings regarding the perspective of the end-user. The impact of the network connection on data transfer latency was studied, demonstrating innocuous latency values for reasonable signal strengths and manageable latency values even when the connection was unstable. Moreover, performance profiling of the EpiBOX user interface (mobile application) indicates a suitable performance in all aspects, providing an encouraging outlook on adherence to the system. Finally, the experience of our research group is described as a use case, indicating a promising outlook regarding the use of the EpiBOX framework within similar contexts. As a byproduct of these features, our hope is that by empowering physicians, technicians, and monitored subjects to supervise the biosignal collection process, we enable researchers to scale biosignal collection.

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Standardization of neurophysiology signal data into the DICOM® standard

Cited by 20 publications

References 4 publications

Minimum standards for inpatient long‐term video‐electroencephalographic monitoring: A clinical practice guideline of the International League Against Epilepsy and International Federation of Clinical Neurophysiology

Minimum standards for inpatient long‐term video‐electroencephalographic monitoring: A clinical practice guideline of the International League Against Epilepsy and International Federation of Clinical Neurophysiology

Routine and sleep EEG: Minimum recording standards of the International Federation of Clinical Neurophysiology and the International League Against Epilepsy

EpiBOX: An Automated Platform for Long-Term Biosignal Collection

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