Name
Abstract | ||
|---|---|---|
Wearables that continuously acquire medically relevant parameters can reduce duration of hospitalizations and derive treatment optimizations for individual patients thus improving the quality of medical treatments. We demonstrate an architecture that includes wearables, edge and cloud computing to provide optimal user interaction and analytics of multi-parameter wearable data to accomplish this goal. We also explore the trade-offs of on-wearable processing versus raw data transmission and the use of commercial location monitors to acquire indoor location data. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/CHASE.2017.110 | 2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) |
Keywords | Field | DocType |
wearable,edge computing,healthcare | Edge computing,Wearable computer,Raw data,Hypervisor,Real-time computing,Engineering,Analytics,Cognition,The Internet,Cloud computing | Conference |
ISBN | Citations | PageRank |
978-1-5090-4723-9 | 0 | 0.34 |
References | Authors | |
0 | 19 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| R. Straessle | 1 | 0 | 0.34 |
| S. Gerke | 2 | 0 | 0.68 |
| Thomas Brunschwiler | 3 | 105 | 9.00 |
| Yuksel Temiz | 4 | 0 | 1.01 |
| Jonas Weiss | 5 | 67 | 16.65 |
| Arvind Sridhar | 6 | 101 | 9.04 |
| Stephan Paredes | 7 | 3 | 2.81 |
| E. Loertscher | 8 | 0 | 0.68 |
| N. Ebejer | 9 | 0 | 0.34 |
| B. Michel | 10 | 23 | 5.66 |
| H.-M. Lee | 11 | 0 | 0.34 |
| C. Alvarado | 12 | 0 | 0.34 |
| I. Faro | 13 | 0 | 0.34 |
| T. G. van Kessel | 14 | 9 | 1.89 |
| Mounir Meghelli | 15 | 78 | 14.76 |
| M. A. Taubenblatt | 16 | 0 | 0.34 |
| S. Zafar | 17 | 109 | 12.30 |
| F. Libsch | 18 | 0 | 0.34 |
| Keiji Matsumoto | 19 | 1 | 1.45 |