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Creators/Authors contains: "Sanyal, Arindam"

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  1. ; ; ; (, Scientific Reports)
    Abstract This work presents an on-chip analog-to-information conversion technique that utilizes analog hyper-dimensional computing based on reservoir-computing paradigm to process electrocardiograph (ECG) signals locally in-sensor and reduce radio frequency transmission by more than three orders-of-magnitude. Instead of transmitting the naturally sparse ECG signal or extracted features, the on-chip analog-to-information converter analyzes the ECG signal through a nonlinear reservoir kernel followed by an artificial neural network, and transmits the prediction results. The proposed technique is demonstrated for detection of sepsis onset and achieves state-of-the-art accuracy and energy efficiency while reducing sensor power by$$159\times $$ 159 × with test-chips prototyped in 65 nm CMOS. 
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  2. ; ; ; ; (, IEEE Transactions on Circuits and Systems I: Regular Papers)
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