SeroviICAI/Mamba-Biometric-EKG-Analysis-Technology-MambaBEAT
In the realm of EKG/ECG analysis, deep learning models have made significant strides. However, the pursuit of efficiency and accuracy persists. The proposed Mamba Biometric EKG Analysis Technology (MambaBEAT) project aims to utilize the Mamba model, a promising sequence modeling architecture, to further advance EKG analysis.
This project helps medical professionals and researchers quickly and accurately interpret electrocardiogram (EKG/ECG) readings. It takes raw EKG data and uses advanced AI to identify patterns, aiding in the diagnosis and monitoring of heart conditions. Cardiac specialists, clinical researchers, and telemedicine providers would use this technology to enhance their diagnostic capabilities.
No commits in the last 6 months.
Use this if you need a highly efficient and accurate way to classify and analyze EKG signals, potentially improving diagnostic speed and reliability.
Not ideal if you require explainable AI models with easily interpretable intermediate steps for regulatory or specific research transparency needs.
Stars
7
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Apr 23, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/SeroviICAI/Mamba-Biometric-EKG-Analysis-Technology-MambaBEAT"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
DeepPSP/torch_ecg
Deep learning ECG models implemented using PyTorch
im-ethz/flirt
Are you ready to FLIRT with your wearable data?
Edoar-do/HuBERT-ECG
A self-supervised foundation ECG model for broad and scalable cardiac applications
AmbiqAI/heartkit
Perform AI-based heart monitoring tasks
bowang-lab/ecg-fm
An electrocardiogram analysis foundation model.