Comput Math Methods Med - Multimodal spatial calibration for accurately registering EEG sensor positions.

Tópicos

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Resumo

This paper proposes a fast and accurate calibration method to calibrate multiple multimodal sensors using a novel photogrammetry system for fast localization of EEG sensors. The EEG sensors are placed on human head and multimodal sensors are installed around the head to simultaneously obtain all EEG sensor positions. A multiple views' calibration process is implemented to obtain the transformations of multiple views. We first develop an efficient local repair algorithm to improve the depth map, and then a special calibration body is designed. Based on them, accurate and robust calibration results can be achieved. We evaluate the proposed method by corners of a chessboard calibration plate. Experimental results demonstrate that the proposed method can achieve good performance, which can be further applied to EEG source localization applications on human brain.

Resumo Limpo

paper propos fast accur calibr method calibr multipl multimod sensor use novel photogrammetri system fast local eeg sensor eeg sensor place human head multimod sensor instal around head simultan obtain eeg sensor posit multipl view calibr process implement obtain transform multipl view first develop effici local repair algorithm improv depth map special calibr bodi design base accur robust calibr result can achiev evalu propos method corner chessboard calibr plate experiment result demonstr propos method can achiev good perform can appli eeg sourc local applic human brain

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