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CORRECTION article

Front. Med., 28 January 2026

Sec. Family Medicine and Primary Care

Volume 13 - 2026 | https://doi.org/10.3389/fmed.2026.1794608

Correction: Multimodal ECG and biometric data fusion for improved detection of obstructive sleep apnea hypopnea syndrome

  • Frontiers Media SA, Lausanne, Switzerland

A Correction on
Multimodal ECG and biometric data fusion for improved detection of obstructive sleep apnea hypopnea syndrome

by Zhu, Q., Liang, M., Gong, X., He, Y., and Mao, C. (2026). Front. Med. 13:1762868. doi: 10.3389/fmed.2026.1762868

Affiliations were incorrectly assigned to the authors. The author list previously appeared as:

Quanjing Zhu1, 2, 3, Mingqing Liang4, Xingxin Gong1, 2, 3, Yong He1, 2, 3 and Chao Mao5*

The correct affiliations in the author list appears below:

Quanjing Zhu2, 3, 4, Mingqing Liang5, Xingxin Gong2, 3, 4, Yong He2, 3, 4 and Chao Mao1*

The original version of this article has been updated.

Keywords: obstructive sleep apnea hypopnea syndrome, deep learning, electrocardiogram, LSTM, detection

Citation: Frontiers Production Office (2026) Correction: Multimodal ECG and biometric data fusion for improved detection of obstructive sleep apnea hypopnea syndrome. Front. Med. 13:1794608. doi: 10.3389/fmed.2026.1794608

Received: 23 January 2026; Accepted: 23 January 2026;
Published: 28 January 2026.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2026 Frontiers Production Office. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Frontiers Production Office, cHJvZHVjdGlvbi5vZmZpY2VAZnJvbnRpZXJzaW4ub3Jn

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