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Updated: Feb 1, 2026

Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI

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Published on: June 3, 2013

生体力学的データの展望：現在の慣行、課題、および将来のニーズに関する学際的な調査

Jonas Borsch¹, David Schnur¹, Sebastian Roth¹

¹Department of Mathematics, Informatics and Technology, 120189 University of Applied Sciences Koblenz , Joseph-Rovan-Allee 2, 53424 Remagen, Germany.

Biomedizinische Technik. Biomedical engineering

|January 31, 2026

要旨

Objectives:

The objective of this study was to assess the current usage, challenges, and specific needs regarding biomechanical data, with a focus on gait analysis, across a diverse field such as sports performance, clinical rehabilitation, and occupational health.

Methods:

We conducted a survey among more than 300 institutions in the DACH region (Germany, Austria, Switzerland). Of 49 individuals who began the survey, 24 submitted complete responses.

Results:

Findings indicate that participants recognize the value of biomechanical data, yet adoption of publicly available datasets is hindered by inconsistent formats, limited metadata, and strict privacy regulations. Respondents emphasized standardized documentation and clearer guidelines to facilitate sharing and collaboration. Many institutions are overwhelmed by legal compliance, with data proception laws posing significant hurdles to effective usage.

Conclusions:

The results highlight the need to (1) establish standardized file formats, (2) improve metadata quality, (3) develop transparent, consistent data-sharing protocols, and (4) clarify legal frameworks for compliance.

キーワード:

横断的調査データ解析ヒューマンアクティビティ認識機械学習

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