Title :
Sleeping patterns observation for bedsores and bed-side falls prevention
Author :
Wai, Aung Aung Phyo ; Yuan-Wei, Kow ; Fook, Foo Siang ; Jayachandran, Maniyeri ; Biswas, Jit ; Cabibihan, John-John
Abstract :
Disabled or cognition impaired elderly may lie in the bed most of their time. It is important to monitor their health conditions and look out for life threatening events in and around the bed continuously. Abrupt unassisted movements may lead to falls whereas the lack of desirable movements may cause bedsores. In order to alleviate these problems, we propose automated means of continuous and unobtrusive sleeping pattern observation through pressure sensing bed. By understanding of subjects´ states from observed pressure evidences, timely intervention and nursing care can be provided to subjects immediately. This enables provision of high quality care to frail and dependent elderly, and also enhances their quality of life in a cost-effective and resource-efficient manner.
Keywords :
biomedical communication; biomedical equipment; force sensors; medical signal detection; medical signal processing; patient monitoring; pressure sensors; principal component analysis; sleep; support vector machines; wireless sensor networks; abrupt unassisted movements; bed-side fall prevention; bedsores; cognition impaired elderly; disabled elderly; force sensing resistors; pressure sensing bed; principal component analysis; radial basis function; sleeping patterns; support vector machine; wireless sensor network; Accidental Falls; Actigraphy; Algorithms; Diagnosis, Computer-Assisted; Equipment Design; Equipment Failure Analysis; Humans; Manometry; Polysomnography; Pressure Ulcer; Reproducibility of Results; Sensitivity and Specificity; Sleep;
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2009.5335385