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ISO/IEC TS 27571:2026

ISO/IEC TS 27571:2026 Information technology — Brain-computer interfaces — Data format for noninvasive brain information collection

CDN $186.00

This publication was last reviewed and confirmed in 2026.

Information technology — Brain-computer interfaces — Data format for noninvasive brain information collection

SKU: 29444d9d00ca Categories: ,

Description

This document specifies the basic brain–computer interface (BCI) data format including the definition of basic data elements, technology-specific information and metadata, design of an extensible and modular data structure, specification of metadata and annotation information, and the development of a standardized data format and naming convention for BCI data. This document is applicable to non-invasive BCI technologies, such as electroencephalography (EEG), magnetoencephalography (MEG), functional near-infrared spectroscopy (fNIRS) and functional magnetic resonance imaging (fMRI), and provides a comprehensive approach to BCI metadata formats in the product development environment. It takes into consideration various applications, ranging from neurological rehabilitation to human–computer interaction.

Edition

1

Published Date

2026-06-19

Status

PUBLISHED

Pages

15

Language Detail Icon

English

Format Secure Icon

Secure PDF

Abstract

This document specifies the basic brain–computer interface (BCI) data format including the definition of basic data elements, technology-specific information and metadata, design of an extensible and modular data structure, specification of metadata and annotation information, and the development of a standardized data format and naming convention for BCI data. This document is applicable to non-invasive BCI technologies, such as electroencephalography (EEG), magnetoencephalography (MEG), functional near-infrared spectroscopy (fNIRS) and functional magnetic resonance imaging (fMRI), and provides a comprehensive approach to BCI metadata formats in the product development environment. It takes into consideration various applications, ranging from neurological rehabilitation to human–computer interaction.

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