7.5nJ/inference CMOS Echo State Network for Coronary Heart Disease prediction

Sanjeev Tannirkulam Chandrasekaran; Imon Banerjee; Arindam Sanyal

doi:10.1109/ESSCIRC53450.2021.9567753

7.5nJ/inference CMOS Echo State Network for Coronary Heart Disease prediction

Sanjeev Tannirkulam Chandrasekaran, Imon Banerjee, Arindam Sanyal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

This work presents the first on-chip, mixed-signal echo state network (ESN) for early prediction of heart disease. The ESN comprises an input layer, a non-linear projection (NP) layer, and an output layer. Only the output layer of the ESN requires training. The input layer weights are time-invariant and drawn from a static binary random distribution. Thus, the proposed ESN has significantly lower trainable parameters compared to other non-linear neural networks used for similar prediction tasks. A 65nm prototype is validated with the Cleveland Heart Disease (CHD) dataset. The ESN achieves a mean accuracy of 84.6% over 5 test chips while consuming 7.5nJ energy/inference.

Original language	English (US)
Title of host publication	ESSCIRC 2021 - IEEE 47th European Solid State Circuits Conference, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	103-106
Number of pages	4
ISBN (Electronic)	9781665437479
DOIs	https://doi.org/10.1109/ESSCIRC53450.2021.9567753
State	Published - Sep 13 2021
Externally published	Yes
Event	47th IEEE European Solid State Circuits Conference, ESSCIRC 2021 - Virtual, Online, France Duration: Sep 6 2021 → Sep 9 2021

Publication series

Name	ESSCIRC 2021 - IEEE 47th European Solid State Circuits Conference, Proceedings

Conference

Conference	47th IEEE European Solid State Circuits Conference, ESSCIRC 2021
Country/Territory	France
City	Virtual, Online
Period	9/6/21 → 9/9/21

Keywords

Machine learning
cardiac diseases prediction
data fusion and medical wearable
echo state network

ASJC Scopus subject areas

Artificial Intelligence
Hardware and Architecture
Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials

Access to Document

10.1109/ESSCIRC53450.2021.9567753

Cite this

Chandrasekaran, S. T., Banerjee, I., & Sanyal, A. (2021). 7.5nJ/inference CMOS Echo State Network for Coronary Heart Disease prediction. In ESSCIRC 2021 - IEEE 47th European Solid State Circuits Conference, Proceedings (pp. 103-106). (ESSCIRC 2021 - IEEE 47th European Solid State Circuits Conference, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ESSCIRC53450.2021.9567753

7.5nJ/inference CMOS Echo State Network for Coronary Heart Disease prediction. / Chandrasekaran, Sanjeev Tannirkulam; Banerjee, Imon; Sanyal, Arindam.
ESSCIRC 2021 - IEEE 47th European Solid State Circuits Conference, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. p. 103-106 (ESSCIRC 2021 - IEEE 47th European Solid State Circuits Conference, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Chandrasekaran, ST, Banerjee, I & Sanyal, A 2021, 7.5nJ/inference CMOS Echo State Network for Coronary Heart Disease prediction. in ESSCIRC 2021 - IEEE 47th European Solid State Circuits Conference, Proceedings. ESSCIRC 2021 - IEEE 47th European Solid State Circuits Conference, Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 103-106, 47th IEEE European Solid State Circuits Conference, ESSCIRC 2021, Virtual, Online, France, 9/6/21. https://doi.org/10.1109/ESSCIRC53450.2021.9567753

Chandrasekaran ST, Banerjee I, Sanyal A. 7.5nJ/inference CMOS Echo State Network for Coronary Heart Disease prediction. In ESSCIRC 2021 - IEEE 47th European Solid State Circuits Conference, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021. p. 103-106. (ESSCIRC 2021 - IEEE 47th European Solid State Circuits Conference, Proceedings). doi: 10.1109/ESSCIRC53450.2021.9567753

Chandrasekaran, Sanjeev Tannirkulam ; Banerjee, Imon ; Sanyal, Arindam. / 7.5nJ/inference CMOS Echo State Network for Coronary Heart Disease prediction. ESSCIRC 2021 - IEEE 47th European Solid State Circuits Conference, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 103-106 (ESSCIRC 2021 - IEEE 47th European Solid State Circuits Conference, Proceedings).

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abstract = "This work presents the first on-chip, mixed-signal echo state network (ESN) for early prediction of heart disease. The ESN comprises an input layer, a non-linear projection (NP) layer, and an output layer. Only the output layer of the ESN requires training. The input layer weights are time-invariant and drawn from a static binary random distribution. Thus, the proposed ESN has significantly lower trainable parameters compared to other non-linear neural networks used for similar prediction tasks. A 65nm prototype is validated with the Cleveland Heart Disease (CHD) dataset. The ESN achieves a mean accuracy of 84.6% over 5 test chips while consuming 7.5nJ energy/inference.",

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7.5nJ/inference CMOS Echo State Network for Coronary Heart Disease prediction

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