INDEPENDENT RESEARCH LAB
Initiated by: Anshuman Sahoo
INDEPENDENT RESEARCH LAB
An independent research laboratory utilizing Physics-Guided AI and Medical Vision to decode the complex coupling between neural oscillations and cardiac dynamics.
The human brain and heart are not isolated organs. They form a bi-directional, adaptive, and dynamic system governed by neural regulation and feedback.
To develop computational frameworks that decode, model, and predict brain–heart interactions for improved healthcare.
We treat the brain as a complex dynamical system. Our research focuses on modeling how neural stress states (beta-waves) propagate through the autonomic nervous system to influence downstream physiology.
Real-time decoding of cognitive load and stress markers.
Mapping functional connectivity using Graph Neural Networks.
Moving beyond simple statistics, we build "Digital Twins" of the heart. By embedding cardiac electrophysiology equations into Deep Learning models (PINNs), we predict arrhythmia with physical validity.
Simulation of action potential propagation in cardiac tissue.
Automated segmentation of Echocardiograms using Computer Vision.
Embedding cardiac biophysical equations directly into neural network loss functions (PINNs) for scientifically valid predictions.
Modeling the brain's functional connectivity as a dynamic graph to understand information flow.
Low-latency data pipelines designed for edge-device deployment in clinical settings.
A unified model quantifying the lag and correlation between Neural Spikes and Heart Rate Variability (HRV).
View Methodology →A simulation framework that couples a Hodgkin-Huxley neuron model with a cardiac oscillator.
View Methodology →Non-invasive monitoring of vitals using standard webcams and rPPG (Remote Photoplethysmography) algorithms.
View Methodology →