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Continuous blood pressure prediction system using Conv-LSTM network on hybrid latent features of photoplethysmogram (PPG) and electrocardiogram (ECG) signals

Crossref DOI link: https://doi.org/10.1038/s41598-024-66514-y

Published Online: 2024-07-16

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Kamanditya, Bharindra

Fuadah, Yunendah Nur

Mahardika T., Nurul Qashri

Lim, Ki Moo
Funding

Funding for this research was provided by:

Ministry of Food and Drug Safety (22213MFDS3922)

National Research Foundation of Korea (2022R1A2C2006326)

Ministry of Science and ICT, South Korea (IITP-2022-2020-0-01612)

Institute for Information and Communications Technology Promotion (S3310623)
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Text and Data Mining valid from 2024-07-16

Version of Record valid from 2024-07-16
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Article History

Received: 29 March 2024

Accepted: 2 July 2024

First Online: 16 July 2024

Competing interests

: The authors declare no competing interests.

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