# DSP-based arrhythmia classification using wavelet transform and probabilistic neural network

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/dsp-based-arrhythmia-classification-using-wavelet-transform-and-probabilistic/

## Facts

| Field | Value |
| --- | --- |
| Author Names | José Antonio Gutiérrez Gnecchi,Rodrigo Morfin-Magaña,Daniel Lorias Espinoza,Adriana del Carmen Téllez-Anguiano,Enrique Reyes‐Archundia,Arturo Méndez-Pátiño,Rodrigo Castañeda-Miranda |
| Citations | 125 |
| DOI | 10.1016/j.bspc.2016.10.005 |
| Fields | Engineering,Medicine,Neuroscience |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://www.sciencedirect.com/science/article/pii/S1746809416301677/pdf |
| OpenAlex ID | https://openalex.org/W2547384925 |
| Type | article |
| Year | 2016 |

## Paper authors

- [José Antonio Gutiérrez Gnecchi](https://scholariq.org/researchers/jose-antonio-gutierrez-gnecchi/)
- [Daniel Lorias Espinoza](https://scholariq.org/researchers/daniel-lorias-espinoza/)

## 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.