A method for classification of movements in bed
| Autor: | Tamara L. Hayes, André Gustavo Adami, Misha Pavel, Clifford Singer, Adriana M. Adami |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Involuntary movement
Adult Male Engineering Leg Sleep quality business.industry Movement (music) Physiology Speech recognition Movement Posture Disrupted sleep Pattern recognition Beds Middle Aged Mixture model Young Adult Feature (computer vision) Trajectory Humans Female Artificial intelligence Sleep (system call) business |
| Zdroj: | EMBC |
| ISSN: | 2694-0604 |
| Popis: | Sleep is characterized by episodes of immobility interrupted by periods of voluntary and involuntary movement. Increased mobility in bed can be a sign of disrupted sleep that may reduce sleep quality. This paper describes a method for classification of the type of movement in bed using load cells installed at the corners of a bed. The approach is based on Gaussian Mixture Models using a time-domain feature representation. The movement classification system is evaluated on data collected in the laboratory, and it classified correctly 84.6% of movements. The unobtrusive aspect of this approach is particularly valuable for longer-term home monitoring against a standard clinical setting. |
| Databáze: | OpenAIRE |
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