VoxMed: One-Step Respiratory Disease Classifier using Digital Stethoscope Sounds
Fuente:
arXiv
Salvato in:
| Autori principali: | , , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2024
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866916338031656960 |
|---|---|
| author | Mundra, Paridhi Sharma, Manik Chaudhuri, Yashwardhan Phukan, Orchid Chetia Buduru, Arun Balaji |
| author_facet | Mundra, Paridhi Sharma, Manik Chaudhuri, Yashwardhan Phukan, Orchid Chetia Buduru, Arun Balaji |
| contents | 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 |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_18926 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | VoxMed: One-Step Respiratory Disease Classifier using Digital Stethoscope Sounds Mundra, Paridhi Sharma, Manik Chaudhuri, Yashwardhan Phukan, Orchid Chetia Buduru, Arun Balaji Audio and Speech Processing Sound 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 |
| title | VoxMed: One-Step Respiratory Disease Classifier using Digital Stethoscope Sounds |
| topic | Audio and Speech Processing Sound |
| url | https://arxiv.org/abs/2407.18926 |