TY - GEN
T1 - Signal Recovery During the Cardiac Cycle Using Combined Magnetocardiography and Electrocardiography
AU - Wang, Yanmei
AU - Wang, Huidong
AU - Pang, Jiaojiao
AU - Xiang, Min
AU - Cui, Peiling
N1 - Publisher Copyright:
© 2025 Copyright held by the owner/author(s).
PY - 2025/12/22
Y1 - 2025/12/22
N2 - Restoring signals during the cardiac cycle is critical for cardiac imaging. However, recent research on cardiac source imaging, which is based on distributed source models, has focused on spatial accuracy, with less emphasis on temporal sequence accuracy. In particular, comparative studies on the temporal sequence accuracy of different measurement modalities are lacking. In this study, a realistic multi-tissue human volume conductor model was used, and source signals derived from electrocardiographic signals were employed to compare the temporal sequence accuracy of four measurement modalities across various signal-to-noise ratios. The four measurement modalities compared were magnetocardiography (MCG), electrocardiography, magnetocardiography-electrocardiography combination (MECG), and three-component MCG. The findings indicated that MECG provided the best performance in terms of temporal sequence accuracy. This study validated the effectiveness of multimodal data fusion in cardiac source imaging and offered new insights and methodologies for future studies in cardiac source imaging.
AB - Restoring signals during the cardiac cycle is critical for cardiac imaging. However, recent research on cardiac source imaging, which is based on distributed source models, has focused on spatial accuracy, with less emphasis on temporal sequence accuracy. In particular, comparative studies on the temporal sequence accuracy of different measurement modalities are lacking. In this study, a realistic multi-tissue human volume conductor model was used, and source signals derived from electrocardiographic signals were employed to compare the temporal sequence accuracy of four measurement modalities across various signal-to-noise ratios. The four measurement modalities compared were magnetocardiography (MCG), electrocardiography, magnetocardiography-electrocardiography combination (MECG), and three-component MCG. The findings indicated that MECG provided the best performance in terms of temporal sequence accuracy. This study validated the effectiveness of multimodal data fusion in cardiac source imaging and offered new insights and methodologies for future studies in cardiac source imaging.
KW - cardiac source imaging
KW - combined magnetocardiography and electrocardiography
KW - electrocardiography
KW - magnetocardiography
KW - temporal sequence accuracy
KW - three-component magnetocardiography
UR - https://www.scopus.com/pages/publications/105026562598
U2 - 10.1145/3774976.3774982
DO - 10.1145/3774976.3774982
M3 - 会议稿件
AN - SCOPUS:105026562598
T3 - ICBRA 2025 - Proceedings of the 12th International Conference on Bioinformatics Research and Applications
SP - 33
EP - 38
BT - ICBRA 2025 - Proceedings of the 12th International Conference on Bioinformatics Research and Applications
PB - Association for Computing Machinery, Inc
T2 - 2025 12th International Conference on Bioinformatics Research and Applications, ICBRA 2025
Y2 - 19 September 2025 through 21 September 2025
ER -