# A patient-adaptable ECG beat classifier using a mixture of experts approach

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-patient-adaptable-ecg-beat-classifier-using-a-mixture-of-experts-approach/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yu Hen Hu,Shubha Deepti Palreddy,W.J. Tompkins |
| Citations | 614 |
| DOI | 10.1109/10.623058 |
| Fields | Engineering,Medicine,Neuroscience |
| Open Access | true |
| OA Status | green |
| OA URL | https://minds.wisconsin.edu/bitstream/1793/9138/1/file_1.pdf |
| OpenAlex ID | https://openalex.org/W2124785086 |
| PMID | 9282481 |
| Type | article |
| Year | 1997 |

## Paper authors

- [Yu Hen Hu](https://scholariq.org/researchers/yu-hen-hu/)

## Paper journal

- [IEEE Transactions on Biomedical Engineering](https://scholariq.org/journals/ieee-transactions-on-biomedical-engineering/)

## 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/)
- [Analog and Mixed-Signal Circuit Design](https://scholariq.org/topics/analog-and-mixed-signal-circuit-design/)
- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)

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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.