Dynamic electrocardiogram detection and diagnosis based on improved dilated convolutional network
Hangli Wang, Yinghao Jia, Chunxiang Zhu, Zhijie Shen · 2026
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Description
Hangli Wang and three colleagues describe a portable heart tracing system with built-in diagnosis in a 2026 paper. Electrocardiograms, or ECGs, are central to spotting heart disease early. Older monitors tend to be bulky or rely on simple reading methods.
Their terminal measures only 80 by 100 millimetres and weighs about 150 grams, sending data by Wi-Fi to a host computer. A neural network mixing widened convolutions with attention steps sorts heartbeats into standard classes. Tests gave 99.28 percent accuracy per beat, with heart rate readings within two percent at rest. Filtering kept signals clean despite noise. The authors present the system as a step toward carry-anywhere cardiac checks.
Catalog record
| CREATOR | Hangli Wang, Yinghao Jia, Chunxiang Zhu, Zhijie Shen |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 57008 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |