Title :
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
fDate :
3/1/2010 12:00:00 AM
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;
Journal_Title :
Information Technology in Biomedicine, IEEE Transactions on
DOI :
10.1109/TITB.2009.2036168
