Name
Title | ||
|---|---|---|
Deep Learning-based R-R Interval Estimation by Using Smartphone Sensors During Exercise |
Abstract | ||
|---|---|---|
Recently, aging of the population and medical cost inflation are emerging as social issues to be solved. To address this problem, estimations of bioinformation based on Internet of Things (IoT) and machine learning get more attention to researchers. In this paper, in order to estimate R-R Interval (RRI) without using specialized and professional wearable devices, we propose a deep learning based R... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICCE50685.2021.9427634 | 2021 IEEE International Conference on Consumer Electronics (ICCE) |
Keywords | DocType | ISBN |
RRI estimation,LF/HF estimation,deep learning,IoT | Conference | 978-1-7281-9766-1 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Satomi Shirasaki | 1 | 0 | 0.34 |
| Kenji Kanai | 2 | 24 | 18.26 |
| Jiro Katto | 3 | 262 | 66.14 |