Name
Abstract | ||
|---|---|---|
Passive monitoring in daily life may provide valuable insights into a person's health throughout the day. Wearable sensor devices play a key role in enabling such monitoring in a non-obtrusive fashion. However, sensor data collected in daily life reflect multiple health and behavior-related factors together. This creates the need for a structured principled analysis to produce reliable and interpr... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JBHI.2020.3037857 | IEEE Journal of Biomedical and Health Informatics |
Keywords | DocType | Volume |
Accelerometers,Monitoring,Medical diagnostic imaging,Hidden Markov models,Feature extraction,Wearable sensors,Wearable computers | Journal | 25 |
Issue | ISSN | Citations |
6 | 2168-2194 | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yordan P. Raykov | 1 | 6 | 2.94 |
| Luc J. W. Evers | 2 | 1 | 1.03 |
| Reham Badawy | 3 | 2 | 1.06 |
| Bastiaan R. Bloem | 4 | 1 | 1.03 |
| Tom Heskes | 5 | 1519 | 198.44 |
| Meinders Marjan | 6 | 0 | 0.34 |
| Kasper Claes | 7 | 11 | 2.44 |
| Max A. Little | 8 | 193 | 20.81 |