DTF-STCANet: A Dual Time–Frequency Swin Transformer and ConvNeXt Attention Network for Heart Sound Classification

: The proposed approach, through the integration of PCG signals with artificial intelligence, further strengthens the concept of early diagnosis of heart disease.

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Publication Details

Journal
Diagnostics
Published
2026-04-21
DOI
https://doi.org/10.3390/diagnostics16081234
Primary Topic
Phonocardiography and Auscultation Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

DTF-STCANet: A Dual Time–Frequency Swin Transformer and ConvNeXt Attention Network for Heart Sound Classification

Mehmet Nail Bilen, Mehmet Ali Kobat, Fatih Demir, Fatih Mehmet ÇELİK
Diagnostics
Phonocardiography and Auscultation Techniques
article

DTF-STCANet: A Dual Time–Frequency Swin Transformer and ConvNeXt Attention Network for Heart Sound Classification

Mehmet Nail Bilen, Mehmet Ali Kobat, Fatih Demir, Fatih Mehmet ÇELİK
article en

Abstract

: The proposed approach, through the integration of PCG signals with artificial intelligence, further strengthens the concept of early diagnosis of heart disease.

DiagnosticsVol. 16(8)
Fırat University (TR), Istanbul Metropolitan Municipality (TR), Elazığ Eğitim ve Araştırma Hastanesi (TR)
Good health and well-being
Openalex Percentile: Top 18%
Phonocardiography and Auscultation Techniques
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