| Literature DB >> 19963743 |
William J Hatt1, Edward A Vanbaak, Holly B Jimison, Stuart Hagler, Tamara L Hayes, Misha Pavel, Jeffery Kaye.
Abstract
Unobtrusive in-home computer monitoring could one day be used to deliver cost-effective diagnostic information about the cognitive abilities of the elderly. This could allow for early detection of cognitive impairment and would additionally be coupled with the cost advantages that are associated with a semi-automated system. Before using the computer usage data to draw conclusions about the participants, we first needed to investigate the nature of the data that was collected. This paper represents a forensics style analysis of the computer usage data that is being collected as part of a larger study of cognitive decline, and focuses on the isolation and removal of non user-generated activities that were recorded by our computer monitoring software (CMS).Entities:
Mesh：
Year: 2009 PMID： 19963743 PMCID： PMC2846825 DOI： 10.1109/IEMBS.2009.5333084
Source DB: PubMed Journal: Conf Proc IEEE Eng Med Biol Soc ISSN： 1557-170X