title: A method for classification of movements in bed.
abstract: 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.
authors.affiliation: Oregon Health and Science University, Portland, OR 97239, USA. amiorell@ucs.br
authors.forename: Adriana M
authors.initials: AM
authors.lastname: Adami
authors.forename: Misha
authors.initials: M
authors.lastname: Pavel
authors.forename: Tamara L
authors.initials: TL
authors.lastname: Hayes
authors.forename: André G
authors.initials: AG
authors.lastname: Adami
authors.forename: Clifford
authors.initials: C
authors.lastname: Singer
mesh_terms: D000328:Adult; D001513:Beds; D005260:Female; D006801:Humans; D007866:Leg / Q000502:physiology; D008297:Male; D008875:Middle Aged; D009068:Movement / Q000502:physiology*; D010827:Physiology / Q000379:methods*; D011187:Posture; D055815:Young Adult