Name
Abstract | ||
|---|---|---|
With the fast development of mobile health technology, wearable device provides continuous monitoring in a low-cost and convenient way, which is a promising solution for personalized medicine. However, the signal quality issue limits its wide adoption. In our study, we proposed a robust electrocardiogram (ECG) signal quality assessment algorithm. The algorithm has been validated in real clinical scenario with excellent performance. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICHI.2019.8904810 | 2019 IEEE International Conference on Healthcare Informatics (ICHI) |
Keywords | Field | DocType |
Wearable device,ECG,Signal quality | Computer science,Signal quality,Computer hardware,Wearable technology | Conference |
ISSN | ISBN | Citations |
2575-2626 | 978-1-5386-9139-7 | 1 |
PageRank | References | Authors |
0.35 | 4 | 10 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuanbo Shi | 1 | 1 | 0.35 |
| Zhengbo Zhang | 2 | 26 | 7.36 |
| Ning Han | 3 | 1 | 0.35 |
| Peiyao Li | 4 | 1 | 0.35 |
| Zhicheng Yang | 5 | 2 | 1.74 |
| Qian Yuan | 6 | 1 | 0.35 |
| Yongsheng Du | 7 | 1 | 0.35 |
| Ke Lan | 8 | 5 | 2.25 |
| Jiewen Zheng | 9 | 8 | 2.42 |
| Desen Cao | 10 | 8 | 3.09 |