Name
Abstract | ||
|---|---|---|
Patients in critical care settings often require continuous and multifaceted monitoring. However, current clinical monitoring practices fail to capture important functional and behavioral indices such as mobility or agitation. Recent advances in non-invasive sensing technology, high throughput computing, and deep learning techniques are expected to transform the existing patient monitoring paradigm by enabling and streamlining granular and continuous monitoring of these crucial critical care measures. In this review, we highlight current approaches to pervasive sensing in critical care and identify limitations, future challenges, and opportunities in this emerging field. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.3389/fdgth.2022.773387 | Frontiers in Digital Health |
Keywords | DocType | Volume |
computer vision,intensive care unit (ICU),patient monitoring,pervasive sensing,wearable device | Journal | 4 |
ISSN | Citations | PageRank |
2673-253X | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anis Davoudi | 1 | 0 | 0.34 |
| Benjamin Shickel | 2 | 48 | 2.84 |
| Patrick James Tighe | 3 | 0 | 0.34 |
| Azra Bihorac | 4 | 50 | 8.63 |
| Parisa Rashidi | 5 | 859 | 46.92 |