Article Dans Une Revue Journal of Robotics, Networking and Artificial Life Année : 2025

Trigger Circuit Board Design for Coordinated EEG, Motion, and Eye Gazing Recording in Two Person: A System Integration Approach

Résumé

Integrative data analysis, which involves the simultaneous recording of EEG, motion, and eye gazing in humans, is increasingly recognized for its potential to yield new scientific insights. To establish these simultaneous measurements, signal synchronization of multiple time courses is necessary, time data from different measurement instruments must be managed finely, and time offsets must be corrected. However, such accurate time management from the triggers requires a fine design of circuit boards with the integrated transistor-transistor logic signal voltage. This study presents a design concept and mechanism for a trigger circuit, demonstrating that the proposed experimental system effectively addresses these challenges. A custom trigger circuit board, combined with a microcontroller, was developed to handle voltage signals and ensure seamless synchronization between different devices. The trigger signal output from the circuit board can be controlled and demonstrated through system integration across multiple measurement instruments. It should be noted that the accuracy of trigger signal output may be influenced in part by the system clock of the operating system, but the integrated trigger circuit board and the measurement system enable precise and reliable synchronous measurements, with the potential for further synchronous analysis.

Fichier principal
Vignette du fichier
11_7.pdf (801.53 Ko) Télécharger le fichier
Origine Publication financée par une institution
Licence

Dates et versions

hal-05097994 , version 1 (19-03-2026)

Licence

Identifiants

Citer

Masayuki Fujiwara, Phan Hoang Huu Du, Laurent Bougrain, Patrick Henaff, Hiroaki Wagatsuma. Trigger Circuit Board Design for Coordinated EEG, Motion, and Eye Gazing Recording in Two Person: A System Integration Approach. Journal of Robotics, Networking and Artificial Life, 2025, 11 (1), pp.38-43. ⟨10.57417/jrnal.11.1_38⟩. ⟨hal-05097994⟩
293 Consultations
78 Téléchargements

Altmetric

Partager

  • More