arXiv Open Access 2024

VoxMed: One-Step Respiratory Disease Classifier using Digital Stethoscope Sounds

Paridhi Mundra Manik Sharma Yashwardhan Chaudhuri Orchid Chetia Phukan Arun Balaji Buduru

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Abstrak

As respiratory illnesses become more common, it is crucial to quickly and accurately detect them to improve patient care. There is a need for improved diagnostic methods for immediate medical assessments for optimal patient outcomes. This paper introduces VoxMed, a UI-assisted one-step classifier that uses digital stethoscope recordings to diagnose respiratory diseases. It employs an Audio Spectrogram Transformer(AST) for feature extraction and a 1-D CNN-based architecture to classify respiratory diseases, offering professionals information regarding their patients respiratory health in seconds. We use the ICBHI dataset, which includes stethoscope recordings collected from patients in Greece and Portugal, to classify respiratory diseases. GitHub repository: https://github.com/Sample-User131001/VoxMed

Topik & Kata Kunci

eess.AS cs.SD

Penulis (5)

Paridhi Mundra

Manik Sharma

Yashwardhan Chaudhuri

Orchid Chetia Phukan

Arun Balaji Buduru

Format Sitasi

APA MLA BibTeX

Mundra, P., Sharma, M., Chaudhuri, Y., Phukan, O.C., Buduru, A.B. (2024). VoxMed: One-Step Respiratory Disease Classifier using Digital Stethoscope Sounds. https://arxiv.org/abs/2407.18926

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Informasi Jurnal

Tahun Terbit: 2024
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓