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Data · dataset · 2026

Magnetoencephalography (MEG) based non-invasive Chinese speech decoding

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The text-MEG dataset was collected at Tongji Hospital, affiliated with Tongji Medical College, Huazhong University of Science and Technology.

Description

The dataset contains magnetoencephalography (MEG) recordings from nine healthy participants while they performed a reading-aloud task involving 48 Mandarin monosyllabic words. Each participant contributed approximately 720 trials (48 words × 15 repetitions).

The dataset can be used to reproduce the main experimental results reported in Magnetoencephalography (MEG) Based Non-Invasive Chinese Speech Decoding.Brain signals were recorded using a helium-free MEG system manufactured by Beijing X-Magtech Technologies. The dataset includes MEG recordings and experimental procedure data generated using PsychoPy. The procedure data contain the temporal markers required for data segmentation as well as the corresponding sample labels.

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Code for data preprocessing and reproducing the experimental results is available at github.com/ZhihongJia/MASD.

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ScienceDB10.57760/sciencedb.010sw11 d agoJSON v1
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