TY  - JOUR
AU  - Tena, Felix
AU  - Garnica Alcázar, Antonio Óscar
AU  - Lanchares Dávila, Juan
AU  - Hidalgo Pérez, José Ignacio
PY  - 2023
DO  - 10.1109/jbhi.2023.3300511
SN  - 2168-2194
SN  - 2168-2208
UR  - https://hdl.handle.net/20.500.14352/117393
T2  - IEEE Journal of Biomedical and Health Informatics
AB  - This article proposes the first hardware implemen-tation of a low-power LSTM neural network targeting a wearable medical device designed to predict blood glucose at a 30-minute horizon. This work aims to reduce energy consumption by propos-ing new...
LA  - eng
KW  - Artificial neural networks
KW  - Blood glucose prediction
KW  - Deep learning
KW  - Diabetes
KW  - Energy consumption in neural networks
KW  - FPGA
KW  - Wearable sensors
TI  - An LSTM-based Neural Network Wearable System for Blood Glucose Prediction in People with Diabetes
TY  - journal article
ER  -