# EfficientNet-based machine learning architecture for sleep apnea identification in clinical single-lead ECG signal data sets

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/efficientnet-based-machine-learning-architecture-for-sleep-apnea-identification/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Meng-Hsuan Liu,Shang-Yu Chien,Ya-Lun Wu,Ting-Hsuan Sun,Chun-Sen Huang,Kai-Cheng Hsu,Liang-Wen Hang |
| Citations | 18 |
| DOI | 10.1186/s12938-024-01252-w |
| Fields | Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://biomedical-engineering-online.biomedcentral.com/counter/pdf/10.1186/s12938-024-01252-w |
| OpenAlex ID | https://openalex.org/W4399861233 |
| PMID | 38902671 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Ya-Lun Wu](https://scholariq.org/researchers/ya-lun-wu/)

## Paper primary topic

- [Obstructive Sleep Apnea Research](https://scholariq.org/topics/obstructive-sleep-apnea-research/)

## Paper topics

- [Obstructive Sleep Apnea Research](https://scholariq.org/topics/obstructive-sleep-apnea-research/)
- [ECG Monitoring and Analysis](https://scholariq.org/topics/ecg-monitoring-and-analysis/)
- [Phonocardiography and Auscultation Techniques](https://scholariq.org/topics/phonocardiography-and-auscultation-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.