What Does Big Data Mean for Wearable Sensor Systems? Contribution of the IMIA Wearable Sensors in Healthcare WG.

Redmond, S J; Lovell, N H; Yang, G Z; Horsch, A; Lukowicz, P; Murrugarra, L; Marschollek, M

Redmond, S J; Lovell, N H; Yang, G Z; Horsch, A; Lukowicz, P; Murrugarra, L; Marschollek, M.

Affiliation

Redmond SJ; Stephen Redmond,, Graduate School of Biomedical Engineering,, Level 5, Samuels Building,, Gate 11, Botany Street, UNSW Australia,, Kensington, NSW 2052,, Sydney, Australia, E-mail: s.redmond@unsw.edu.au.

Yearb Med Inform ; 9: 135-42, 2014 Aug 15.

Article in En | MEDLINE | ID: mdl-25123733

Subject(s)

Datasets as Topic; Monitoring, Ambulatory/instrumentation; Telemetry/instrumentation; Wireless Technology; Confidentiality; Data Mining; Datasets as Topic/standards; Humans; Wireless Technology/standards

Key words

Big data; ambulatory monitoring; privacy; standards; wearable sensors

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Telemetry / Monitoring, Ambulatory / Wireless Technology / Datasets as Topic Type of study: Prognostic_studies Limits: Humans Language: En Journal: Yearb Med Inform Year: 2014 Document type: Article Country of publication: Germany

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