Name: ESP3903v3 Dataset
License: https://creativecommons.org/licenses/by/4.0/

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Here are a few use cases for this project:

Medical Diagnosis Assistance: The ESP3903v3 model could be used in hospitals or clinics by healthcare professionals to automate and enhance the accuracy of diagnosing arrhythmias. Its ability to identify multiple arrhythmia classes would reduce misdiagnoses and aid in expediting the treatment process.
Personal Health Monitoring: This computer vision model could be integrated into wearable devices like smart watches or wristbands, enabling continuous heart rhythm monitoring for people with known heart conditions or fitness enthusiasts who want to track their overall heart health.
Educational Tool: The ESP3903v3 could be used as a learning resource in medical education, providing students with a real-time approach to understanding and identifying different arrythmia classes.
Emergency Services: Emergency medical teams could use the model to provide quick and accurate initial assessments of patients presenting with cardiac symptoms, potentially improving the triage process and outcomes when time is critical.
Pharmaceutical Research: Drug research and development organizations could utilize the model to monitor heart rhythm response during clinical trials of new drugs to ensure safety and efficacy.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            esp3903v3_dataset,
                            title = { ESP3903v3 Dataset },
                            type = { Open Source Dataset },
                            author = { Nicholas Ang },
                            howpublished = { \url{ https://universe.roboflow.com/nicholas-ang/esp3903v3 } },
                            url = { https://universe.roboflow.com/nicholas-ang/esp3903v3 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jul },
                            note = { visited on 2024-05-09 },
                            }