Bioelectronic Fusion Sensor System

To address the Navy"s need for a common, scalable, platform for multi-modal 1pA level current sensing for Electrocardiogram (ECG), Electroencephalogram (EEG), and Electrodermal Response (EDR) to be fielded as a miniature wearable device with non-contact electrodes, Sentient and the State University of New York (SUNY) propose to develop the Bioelectronic Fusion Sensor System (BioFuSenS) that will assess a subject"s stress, fatigue and resilience. BioFuSenS will be modular, real-time, low cost, low bandwidth, open standards-based, including autonomous prediction, health monitoring and management. Innovation is based on an ultra-sensitive, multi-channel, compact low power integrated circuit (IC), combined with mechanical sensing, a Bayesian-based data-model fusion algorithm, and ground truth data model. BioFuSenS is supported by"Predict-Acquire-Confirm-Control"process for monitoring center or remote operation. Energy harvesting for full power management and immunity to motion artifacts and muscle noises through robust and accurate data-model fusion is enabled, addressing the requirements of the Navy. In Phase I, we demonstrate feasibility through transistor-level IC simulations, thorough nonlinear systems analysis, and data-model fusion and noise handling simulations for ECG sensing. In Phase II, we will develop/validate a prototype, demonstrate multi-modal, model-based detection with noise filtering, and optimize the design to meet size, weight, power, and cost (SWAP-C) requirements.