Deep Learning for Cardiac Overload Estimation ― Predicting B-Type Natriuretic Peptide (BNP) Levels From Heart Sounds and Electrocardiogram ―

The eBNP model demonstrated strong potential for non-invasive and rapid HF screening. Its simplicity and objectivity make it ideally suited for point-of-care testing, offering a promising approach for early HF diagnosis and detection monitoring of HF exacerbations. These findings, validated on datasets independent of training, highlight the model's robustness across diverse clinical populations.

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Publication Details

Journal
Circulation Journal
Published
2025-06-16
DOI
https://doi.org/10.1253/circj.cj-25-0098
Citations
8
Primary Topic
Phonocardiography and Auscultation Techniques
Type
article
Field-Weighted Citation Impact
12.15
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article

Deep Learning for Cardiac Overload Estimation ― Predicting B-Type Natriuretic Peptide (BNP) Levels From Heart Sounds and Electrocardiogram ―

Eri Kato, Masanobu Ishii, Shunsuke Natori, Masashi Kato et al.
8 citations
Circulation Journal
Phonocardiography and Auscultation Techniques
12.15
article

Deep Learning for Cardiac Overload Estimation ― Predicting B-Type Natriuretic Peptide (BNP) Levels From Heart Sounds and Electrocardiogram ―

Eri Kato, Masanobu Ishii, Shunsuke Natori, Masashi Kato, Tomohiro Komatsu, Naritatsu Saito, Kenichi Tsujita, Yasuaki Sagara, Takafumi Yokomatsu, Shumpei Saito, Youichi Yasui, Takuro Kubozono, Koshiro Ikeda, Nobuhiko Atsuchi, Xiaoyang Song, Shoji Natsugoe, Shota Kawahara, Nami Uchiyama, Masahiro Yamada, Noriaki Tabata, Ginga Sato, Hiroshi Seki, Mitsuru Ohishi, Shimpei Ogawa, Yuki Kunikane
article en
8 citations

Abstract

The eBNP model demonstrated strong potential for non-invasive and rapid HF screening. Its simplicity and objectivity make it ideally suited for point-of-care testing, offering a promising approach for early HF diagnosis and detection monitoring of HF exacerbations. These findings, validated on datasets independent of training, highlight the model's robustness across diverse clinical populations.

Circulation JournalVol. 89(10)
Kagoshima University (JP), Saiseikai Kumamoto Hospital (JP), Obihiro Kyokai Hospital (JP), Misasa Onsen Hospital (JP), National Sagamihara Hospital (JP), Mitsubishi Kyoto Hospital (JP), Kyoto University Hospital (JP), Tokai Central Hospital (JP), Kumamoto University (JP)
Openalex Percentile: Top 1%
Phonocardiography and Auscultation Techniques
12.15
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