Detection and classification of movements in bed using load cells

A. M. Adami, T. L. Hayes, M. Pavel, C. M. Singer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Citations (Scopus)

Abstract

The quality of our life is tied to the quality of our sleep. People with sleep deficits may experience impaired performance, irritability, lack of concentration, and daytime drowsiness. Increased mobility in bed can be a sign of disrupted sleep. Therefore, body movements in bed represent an important behavioral aspect of sleep. In this paper, we propose a method for detection and classification of movement that uses load cells placed at each corner of a bed. The detection of movements is based on short-term analysis of the mean-square differences of the load cell signals. Movement classification is based on features extracted from a wavelet-based multiresolution analysis (MRA) to classify the type of movement into two classes: small and large. A linear classifier is trained on each level of the MRA, and the decisions of the 4 classifiers are combined using a Bayesian combination rule. The method is evaluated on load cell data collected from 6 subjects. Each subject performed 5 trials composed of 20 predefined movements including small shifts of position to large movements of torso and limbs. The performance measure for the detection problem is the equal error rate (EER). We show that the detection method achieves a 2.9% EER and that the classification method has a classification error of 4%.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Pages589-592
Number of pages4
Volume7 VOLS
StatePublished - 2005
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: Sep 1 2005Sep 4 2005

Other

Other2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
CountryChina
CityShanghai
Period9/1/059/4/05

Fingerprint

Multiresolution analysis
Classifiers
Sleep

Keywords

  • Home health
  • Movements during sleep
  • Sleep patterns
  • Unobtrusive sensors

ASJC Scopus subject areas

  • Bioengineering

Cite this

Adami, A. M., Hayes, T. L., Pavel, M., & Singer, C. M. (2005). Detection and classification of movements in bed using load cells. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (Vol. 7 VOLS, pp. 589-592). [1616481]

Detection and classification of movements in bed using load cells. / Adami, A. M.; Hayes, T. L.; Pavel, M.; Singer, C. M.

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 7 VOLS 2005. p. 589-592 1616481.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Adami, AM, Hayes, TL, Pavel, M & Singer, CM 2005, Detection and classification of movements in bed using load cells. in Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. vol. 7 VOLS, 1616481, pp. 589-592, 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005, Shanghai, China, 9/1/05.
Adami AM, Hayes TL, Pavel M, Singer CM. Detection and classification of movements in bed using load cells. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 7 VOLS. 2005. p. 589-592. 1616481
Adami, A. M. ; Hayes, T. L. ; Pavel, M. ; Singer, C. M. / Detection and classification of movements in bed using load cells. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 7 VOLS 2005. pp. 589-592
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