A Visual Context-Awareness-Based Sleeping-Respiration Measurement System

Author

Yung-Ming Kuo ; Jiann-Shu Lee ; Pau-Choo Chung

Author_Institution

Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan

Volume

14

Issue

2

fYear

2010

fDate

3/1/2010 12:00:00 AM

Firstpage

255

Lastpage

265

Abstract

Due to the rapid growth of the elderly population, improving specific aspects of elderly healthcare has become more important. Sleeping care systems for the elderly are rare. In this paper, we propose a visual context-aware-based sleeping-respiration measurement system that measures the respiration information of elderly sleepers. Accurate respiration measurement requires considering all possible contexts for the sleeping person. The proposed system consists of a body-motion-context-detection subsystem, a respiration-context-detection subsystem, and a fast motion-vector-estimation-based respiration measurement subsystem. The system yielded accurate respiratory measurements for our study population.

Keywords

biomedical measurement; computer vision; geriatrics; health care; hidden Markov models; pneumodynamics; sleep; body motion context detection subsystem; elderly healthcare; fast motion vector estimation; respiration context detection subsystem; respiration information; respiration measurement subsystem; sleeping care systems; sleeping respiration measurement system; visual context awareness; Cardiac disease; Cardiovascular diseases; Electrocardiography; Electrodes; Frequency estimation; Heart; Patient monitoring; Senior citizens; Temperature sensors; Turbines; Context aware; hidden Markov model; motion detection; respiration measurement; Adult; Algorithms; Female; Humans; Image Processing, Computer-Assisted; Infrared Rays; Male; Markov Chains; Middle Aged; Monitoring, Physiologic; Movement; Respiratory Rate; Sleep; Telemetry; Video Recording;

fLanguage

English

Journal_Title

Information Technology in Biomedicine, IEEE Transactions on

Publisher

ieee

ISSN

1089-7771

Type

jour

DOI

10.1109/TITB.2009.2036168

Filename

5325889