TY - GEN
T1 - 7.5nJ/inference CMOS Echo State Network for Coronary Heart Disease prediction
AU - Chandrasekaran, Sanjeev Tannirkulam
AU - Banerjee, Imon
AU - Sanyal, Arindam
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Machine learning
KW - cardiac diseases prediction
KW - data fusion and medical wearable
KW - echo state network
UR - http://www.scopus.com/inward/record.url?scp=85123440862&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85123440862&partnerID=8YFLogxK
U2 - 10.1109/ESSDERC53440.2021.9631777
DO - 10.1109/ESSDERC53440.2021.9631777
M3 - Conference contribution
AN - SCOPUS:85123440862
T3 - European Solid-State Device Research Conference
SP - 103
EP - 106
BT - ESSDERC 2021 - IEEE 51st European Solid-State Device Research Conference, Proceedings
PB - Editions Frontieres
T2 - 51st IEEE European Solid-State Device Research Conference, ESSDERC 2021
Y2 - 6 September 2021 through 9 September 2021
ER -