# Hybrid CNN Optimization for Efficient ECG Signal Classification in IoT-Based Healthcare Monitoring

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/hybrid-cnn-optimization-for-efficient-ecg-signal-classification-in-iot-based/

## Facts

| Field | Value |
| --- | --- |
| Author Names | S. Lalithakumari,Abhiraj Malhotra,Rina Mahakud,Noopur Pandey,R. Manjunatha,Aruna Dore |
| Citations | 0 |
| DOI | 10.1109/mrie66930.2025.11156660 |
| Fields | Medicine,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4414348926 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [Rina Mahakud](https://scholariq.org/researchers/rina-mahakud/)

## 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/)
- [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.