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A Predictive Analysis of the Night-Day Activities Level of Older Patient in a Health Smart Home

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Ambient Assistive Health and Wellness Management in the Heart of the City (ICOST 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5597))

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Abstract

The present paper focuses on the experimental set up of a Health Smart Home (HSH) “or HIS in French” with presence infrared sensors (PIR) to detect and report data on the daily activities of fragile person in hospital suite. To study the data, predictive analyses are used to find the most pertinent parameters and indicators of these activities. A relationship is established between the activities of night (nocturnal) and day (diurnal).

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References

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© 2009 Springer-Verlag Berlin Heidelberg

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Hadidi, T., Noury, N. (2009). A Predictive Analysis of the Night-Day Activities Level of Older Patient in a Health Smart Home. In: Mokhtari, M., Khalil, I., Bauchet, J., Zhang, D., Nugent, C. (eds) Ambient Assistive Health and Wellness Management in the Heart of the City. ICOST 2009. Lecture Notes in Computer Science, vol 5597. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02868-7_44

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  • DOI: https://doi.org/10.1007/978-3-642-02868-7_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02867-0

  • Online ISBN: 978-3-642-02868-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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