Name
Title | ||
|---|---|---|
Identification of nocturnal movements during sleep using the non-contact under mattress bed sensor. |
Abstract | ||
|---|---|---|
This paper describes the calculation of statistical, spatial and spatiotemporal features from a novel non-contact technology for sleep monitoring, the Under Mattress Bed Sensor (UMBS). Data was collected from two relatively healthy adults with a possible sleep disorder in a clinical setting. Methods for the extraction of statistical data describing overall bed restlessness, a spatial description of movement (centre and spread of pressure) and a spatiotemporal description of each in-bed body movement over the entire sleeping episode are discussed using the pressure sensing grid. These provide a quantitative description of sleep and restlessness throughout the night. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IEMBS.2011.6090478 | EMBC |
Keywords | Field | DocType |
pressure sensing grid,sleep disorder,biomechanics,spatiotemporal feature,medical disorders,noncontact technology,sleep monitoring,in-bed body movement,grid computing,pressure sensors,sleep,statistical feature,medical signal processing,biomedical equipment,spatiotemporal phenomena,feature extraction,spatial feature,under mattress bed sensor,nocturnal movements,measurement,electronic engineering | Computer vision,Nocturnal,Sleep apnea,Simulation,Computer science,Biomedical equipment,Sleep monitoring,Pressure sensor,Sleep disorder,Artificial intelligence,Physical medicine and rehabilitation | Conference |
Volume | ISSN | ISBN |
2011 | 1557-170X | 978-1-4244-4122-8 |
Citations | PageRank | References |
5 | 0.63 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lorcan Walsh | 1 | 26 | 5.07 |
| Eddie Moloney | 2 | 5 | 0.63 |
| Seán F. McLoone | 3 | 224 | 24.90 |