Linked Life Data

12641889

Source:http://linkedlifedata.com/resource/pubmed/id/12641889

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2003-3-18
pubmed:abstractText
We have developed an automated surveillance system based on passive infra-red sensors. Eight sensors were installed in a hospital room. A computer automatically captured data from the sensors every night from 21:00 until 06:00 the following morning. The sensors were polled twice per second and when a sensor was activated by movement, the event and time were recorded in a data file. At the end of the surveillance period the program analysed the data and generated a report showing the activities taking place in the room and their times. Four elderly patients were observed for a total of 97 nights. A total of 1637 possible sequences of movements by the patient and the hospital staff were detected. The computer was able to identify 1450 sequences (89%) correctly, in comparison with manual analysis. Only 10 movements (0.6%) were undetected by the system; all were very short sequences (five or six activations of the sensors). The system was generally capable of detecting and classifying all major movements in the room.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1357-633X
pubmed:author
pubmed:issnType
Print
pubmed:volume
9
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
23-9
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
Telesurveillance of elderly patients by use of passive infra-red sensors in a 'smart' room.
pubmed:affiliation
Laboratoire Interuniversitaire de Gérontologie, Pavillon Elisée Chatin, Département de Médecine Gériatrique et Communautaire, CHU de Grenoble, La Tronche, 38043 Cedex 09, France. Soutrik.Banerjee@ujf-grenoble.fr
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't