# Unai Irusta

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/unai-irusta/

## Facts

| Field | Value |
| --- | --- |
| Citations | 2,223 |
| Field | Cardiac Arrest and Resuscitation |
| h-index | 26 |
| i10-index | 54 |
| Last Known Institution | University of the Basque Country |
| OpenAlex ID | https://openalex.org/A5020779678 |
| ORCID iD | 0000-0001-9521-1852 |
| Works | 185 |

## Researcher papers

- [Few-Shot Learning approach for plant disease classification using images taken in the field](https://scholariq.org/papers/few-shot-learning-approach-for-plant-disease-classification-using-images-taken/)
- [A Least Mean-Square Filter for the Estimation of the Cardiopulmonary Resuscitation Artifact Based on the Frequency of the Compressions](https://scholariq.org/papers/a-least-mean-square-filter-for-the-estimation-of-the-cardiopulmonary/)
- [ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis](https://scholariq.org/papers/ecg-based-classification-of-resuscitation-cardiac-rhythms-for-retrospective-data/)
- [Deep Neural Networks for ECG-Based Pulse Detection during Out-of-Hospital Cardiac Arrest](https://scholariq.org/papers/deep-neural-networks-for-ecg-based-pulse-detection-during-out-of-hospital/)
- [Machine Learning Techniques for the Detection of Shockable Rhythms in Automated External Defibrillators](https://scholariq.org/papers/machine-learning-techniques-for-the-detection-of-shockable-rhythms-in-automated/)
- [Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia](https://scholariq.org/papers/mixed-convolutional-and-long-short-term-memory-network-for-the-detection-of/)
- [Rhythm Analysis during Cardiopulmonary Resuscitation: Past, Present, and Future](https://scholariq.org/papers/rhythm-analysis-during-cardiopulmonary-resuscitation-past-present-and-future/)
- [A method to remove CPR artefacts from human ECG using only the recorded ECG](https://scholariq.org/papers/a-method-to-remove-cpr-artefacts-from-human-ecg-using-only-the-recorded-ecg/)
- [Suppression of the cardiopulmonary resuscitation artefacts using the instantaneous chest compression rate extracted from the thoracic impedance](https://scholariq.org/papers/suppression-of-the-cardiopulmonary-resuscitation-artefacts-using-the/)
- [Detection of ventricular fibrillation in the presence of cardiopulmonary resuscitation artefacts](https://scholariq.org/papers/detection-of-ventricular-fibrillation-in-the-presence-of-cardiopulmonary/)

## Researcher topics

- [Cardiac Arrest and Resuscitation](https://scholariq.org/topics/cardiac-arrest-and-resuscitation/)
- [Non-Invasive Vital Sign Monitoring](https://scholariq.org/topics/non-invasive-vital-sign-monitoring/)
- [Heart Rate Variability and Autonomic Control](https://scholariq.org/topics/heart-rate-variability-and-autonomic-control/)
- [ECG Monitoring and Analysis](https://scholariq.org/topics/ecg-monitoring-and-analysis/)
- [Healthcare Technology and Patient Monitoring](https://scholariq.org/topics/healthcare-technology-and-patient-monitoring/)

## Researcher university

- [University of the Basque Country](https://scholariq.org/institutions/university-of-the-basque-country/)

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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.