# ML-Net: Multi-Channel Lightweight Network for Detecting Myocardial Infarction

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/ml-net-multi-channel-lightweight-network-for-detecting-myocardial-infarction/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yangjie Cao,Tingting Wei,Bo Zhang,Nan Lin,Joel J. P. C. Rodrigues,Jie Li,Di Zhang |
| Citations | 62 |
| DOI | 10.1109/jbhi.2021.3060433 |
| Fields | Medicine,Neuroscience,Social Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3130904508 |
| PMID | 33606647 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Yangjie Cao](https://scholariq.org/researchers/yangjie-cao/)

## Paper journal

- [IEEE Journal of Biomedical and Health Informatics](https://scholariq.org/journals/ieee-journal-of-biomedical-and-health-informatics/)

## Paper primary topic

- [ECG Monitoring and Analysis](https://scholariq.org/topics/ecg-monitoring-and-analysis/)

## Paper topics

- [ECG Monitoring and Analysis](https://scholariq.org/topics/ecg-monitoring-and-analysis/)
- [Advanced Computing and Algorithms](https://scholariq.org/topics/advanced-computing-and-algorithms/)
- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)

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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.