Pain-free blood glucose monitoring using wearable sensors: Recent advancements and future prospects
Keeping track of blood glucose levels non-invasively is now possible due to diverse
breakthroughs in wearable sensors technology coupled with advanced biomedical signal …
breakthroughs in wearable sensors technology coupled with advanced biomedical signal …
De-Hankelization of singular spectrum analysis matrices via an optimization approach for blood glucose estimation
For the conventional diagonal averaging method, it computes the average of the elements in
each shifted diagonal of each two dimensional singular spectrum analysis matrix to obtain …
each shifted diagonal of each two dimensional singular spectrum analysis matrix to obtain …
Implementable blood glucose estimation with fractional-order system
WX Li, TH Zheng, YW Liu… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
An implementable blood glucose estimation in computer is presented. In general, the
existing effective approaches for measuring the blood glucose concentration are mainly …
existing effective approaches for measuring the blood glucose concentration are mainly …
Optimal design of both rectified layer and pooling layer of convolutional neural network for noninvasive blood glucose estimation system
This paper proposes the optimal designs of both the rectified layer and the pooling layer of
the convolutional neural network for a non-invasive blood glucose estimation system. The …
the convolutional neural network for a non-invasive blood glucose estimation system. The …
Extreme Learning Approach for Blood Glucose Estimation
Y Liu, WK Ling, CK Li, S Ho - 2018 11th International …, 2018 - ieeexplore.ieee.org
This paper proposes an extreme learning machine approach for performing the blood
glucose system estimation. The extreme learning machine consists of a unitary matrix in the …
glucose system estimation. The extreme learning machine consists of a unitary matrix in the …