A MATLAB-based tool for converting fNIRS time-series data to Homer3-compatible formats

Neuroscience informatics Pub Date : 2025-05-05 DOI:10.1016/j.neuri.2025.100205

Chao Wang , Xiaojun Cheng , Shichao Liu

引用次数: 0

Abstract

Functional Near-Infrared Spectroscopy (fNIRS) is increasingly used in cognitive neuroscience and clinical research, yet preprocessing raw time-series data remains challenging. We introduce a lightweight MATLAB tool to automate the conversion of fNIRS data into Homer3-compatible “*.nirs” format. Our solution targets non-SNIRF raw data and offers a standardized, user-friendly method to streamline fNIRS data preparation. This Technical Note describes the tool's design, workflow, and potential improvements for future development.

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一个基于matlab的工具，用于将fNIRS时间序列数据转换为homer3兼容格式

功能近红外光谱（fNIRS）在认知神经科学和临床研究中的应用越来越广泛，但原始时间序列数据的预处理仍然具有挑战性。我们介绍了一个轻量级的MATLAB工具来自动将fNIRS数据转换为homer3兼容的“*”。nirs”格式。我们的解决方案针对非snirf原始数据，并提供标准化，用户友好的方法来简化fNIRS数据准备。本技术说明描述了该工具的设计、工作流程和未来开发的潜在改进。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Neuroscience informatics Surgery, Radiology and Imaging, Information Systems, Neurology, Artificial Intelligence, Computer Science Applications, Signal Processing, Critical Care and Intensive Care Medicine, Health Informatics, Clinical Neurology, Pathology and Medical Technology

自引率

0.00%

发文量

审稿时长

57 days