Name
Title | ||
|---|---|---|
An Attention Based CNN-LSTM Approach for Sleep-Wake Detection With Heterogeneous Sensors |
Abstract | ||
|---|---|---|
In this article, we propose an attention based convolutional neural network long short-term memory (CNN-LSTM) approach for sleep-wake detection with heterogeneous sensor data, i.e., acceleration and heart rate variability (HRV). Since the three-dimensional acceleration data was sampled with a high frequency, we firstly design a CNN-LSTM structure to effectively learn latent featur... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JBHI.2020.3006145 | IEEE Journal of Biomedical and Health Informatics |
Keywords | DocType | Volume |
Feature extraction,Acceleration,Sensors,Heart rate variability,Sleep,Brain modeling,Deep learning | Journal | 25 |
Issue | ISSN | Citations |
9 | 2168-2194 | 0 |
PageRank | References | Authors |
0.34 | 27 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chen Zhenghua | 1 | 141 | 10.59 |
| Min Wu | 2 | 33 | 5.46 |
| Wei Cui | 3 | 0 | 0.34 |
| Chengyu Liu | 4 | 35 | 18.50 |
| Xiaoli Li | 5 | 101 | 12.01 |