An Android app for recording hypertension-related data.
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Updated
Dec 19, 2025 - Kotlin
An Android app for recording hypertension-related data.
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)
A collection of papers published in MICCAI 2024 with their code.
[JAMA] "Complete AI-Enabled Echocardiography Interpretation with Multitask Deep Learning" by Gregory Holste, Evangelos K. Oikonomou, Márton Tokodi, Attila Kovács, Zhangyang Wang, & Rohan Khera
Full HRV analysis of Arduino pulse sensor, using Python signal processing and time series techniques. Chaotic, Fourier, Wavelet, Regression, Neural Net.
1D blood flow simulator
R package for Cardiovascular Risk Dataset and Data generation script
Cardioinformatics: the nexus of bioinformatics and precision cardiology
A Physiology-Informed ECG Delineation Algorithm Based on Peak Prominence
Non-Invasive Fractional Flow Reserve Estimation using Deep Learning on Intermediate Left Anterior Descending Coronary Artery Lesion Angiography Images
CardioPulse ❤️🩺 is an Android app using machine learning to predict cardiovascular (heart) diseases. Created as a final year project by University of Sialkot students, it combines predictive modeling with Firebase cloud storage. The app offers personalized health assessments and intuitive tracking for early detection and better health outcomes.
[MICCAI 2025] CardiacCLIP: Video-based CLIP Adaptation for LVEF Prediction in a Few-shot Manner
MIEO (Masked Input Encoded Output): self-supervised embeddings for clinical tabular data; handles missing values and mixed types for CVD risk prediction.
BD2K Workshop for exploring predictive variables in Cardiovascular Risk
Cardiorespiratory Coupling Contact and Non-Contact Measurement
Code used for data analysis of drug repurposing approach to target inflammation in atherosclerosis
Cardiovascular Risk Prediction - Classification
MSCardio Seismocardiography (SCG) Dataset
Web-based parametric aortic leaflet generator
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