# Efficient wavelet families for ECG classification using neural classifiers

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/efficient-wavelet-families-for-ecg-classification-using-neural-classifiers/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ritu Singh,Rajesh Mehta,Navin Rajpal |
| Citations | 35 |
| DOI | 10.1016/j.procs.2018.05.054 |
| Fields | Engineering,Medicine,Neuroscience |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://www.sciencedirect.com/science/article/pii/S1877050918307865/pdf |
| OpenAlex ID | https://openalex.org/W2807544126 |
| Type | conference-paper |
| Year | 2018 |

## Paper authors

- [Navin Rajpal](https://scholariq.org/researchers/navin-rajpal/)

## Paper journal

- [Procedia Computer Science](https://scholariq.org/journals/procedia-computer-science/)

## 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/)
- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)
- [Non-Invasive Vital Sign Monitoring](https://scholariq.org/topics/non-invasive-vital-sign-monitoring/)

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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.