Name
Abstract | ||
|---|---|---|
Characteristics of physical movements are indicative of infants' neuro-motor development and brain dysfunction. For instance, infant seizure, a clinical signal of brain dysfunction, could be identified and predicted by monitoring its physical movements. With the advance of wearable sensor technology, including the miniaturization of sensors, and the increasing broad application of micro-and nanotechnology, and smart fabrics in wearable sensor systems, it is now possible to collect, store, and process multimodal signal data of infant movements in a more efficient, more comfortable, and non-intrusive way. This review aims to depict the state-of-the-art of wearable sensor systems for infant movement monitoring. We also discuss its clinical significance and the aspect of system design. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.3390/s16122134 | SENSORS |
Keywords | Field | DocType |
infant,wearable sensor,movement monitoring,neonate,seizure | Wearable computer,Systems design,Electronic engineering,Human–computer interaction,Engineering,Embedded system | Journal |
Volume | Issue | Citations |
16 | 12 | 1 |
PageRank | References | Authors |
0.40 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongyu Chen | 1 | 1 | 2.09 |
| Mengru Xue | 2 | 4 | 3.48 |
| Zhenning Mei | 3 | 1 | 1.41 |
| Sidarto Bambang-Oetomo | 4 | 92 | 14.26 |
| Wei Chen | 5 | 96 | 39.08 |