Name
Abstract | ||
|---|---|---|
A method for mapping actimetry data between two platforms has been carried out; one platform is the CE and FDA approved ActiGraph wGT3X-BT, valid in clinical diagnosis, and the second one is Microsoft Band 2 Smartband, available for the general public. The method consists of a regression performed using machine learning technique, specifically, different configurations of neural networks have been tested. Access to the data has been achieved by means of an in-house mobile application. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3284179.3284260 | SIXTH INTERNATIONAL CONFERENCE ON TECHNOLOGICAL ECOSYSTEMS FOR ENHANCING MULTICULTURALITY (TEEM'18) |
Keywords | Field | DocType |
Actimetry,counts,ActiGraph,Microsoft Band 2 | Regression,Acceleration,Clinical diagnosis,Artificial intelligence,Engineering,Artificial neural network,Machine learning | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elena Martín-González | 1 | 0 | 0.68 |
| Rodrigo de Luis-García | 2 | 150 | 14.15 |
| J. P. Casaseca-de-la-Higuera | 3 | 0 | 0.34 |
| J. R. Garmendia-Leiza | 4 | 0 | 0.34 |
| J. Andrés-de-LLano | 5 | 0 | 0.34 |
| Carlos Alberola-López | 6 | 482 | 52.95 |