Computational Physiology Research
Siagnos
Research in Computational Physiology & Neuroengineering
Research in cerebrocardiovascular modeling, neurostimulation, wearable sensing, and computational physiology.
brain–heart signals
liveResearch
My work sits at the intersection of physiology, signal processing, and control theory — developing computational tools to understand and augment the human body. Focus areas span the following themes.
Cerebrocardiovascular Modeling
Coupling cardiovascular and cerebrovascular dynamics to understand brain–heart interactions across states.
Wearable ECG, EEG, & Hemodynamics
Multimodal sensing and signal processing of ambulatory ECG, EEG, and hemodynamic waveforms.
Neurostimulation
Neuromuscular and neural electrical stimulation strategies for modulation, recovery, and control.
Computational Physiology
Building computational models that couple cardiovascular, cerebrovascular, and neural systems.
Machine Learning for Biomedical Signals
Data-driven methods for decoding, denoising, and interpreting physiological time series.
Rehabilitation Engineering
Stimulation- and sensing-driven approaches to support recovery, conditioning, and assisted movement.
Featured Project
CV-Model-NMES
Siagnos / CV-Model-NMES
Computational modeling framework for investigating interactions between cardiovascular and cerebrovascular dynamics.
Publications
Selected work across cerebrocardiovascular modeling, wearable sensing, and neurostimulation.
- NeurostimulationCerebral Oxygenation
Enhancement of Cerebral Oxygenation by Lower-Limb Neuromuscular Electrical Stimulation in Stroke Survivors
Dutta, A., et al.
Annals of Biomedical Engineering
June 2026 - CerebrocardiovascularNeurostimulation
Closed-Loop Cerebrocardiovascular Modeling for Neurostimulation-Assisted Rehabilitation
Siagnos
Work in Progress
In Preparation
Contact
Open to collaboration and conversation. Reach out through any of the channels below.