Processing wellness data in intelligent home monitoring applications

Juha Pärkkä, Mark van Gils, Raimo Lappalainen, Ilkka Korhonen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

Health measurement applications are nowadays being built as part of ubiquitous computing environments. From a signal processing point of view this introduces some new problems as data is being recorded as part of everyday life in a home environment. In this paper we use weight data as an example and discuss methods for frequency domain analysis of irregularly sampled data. We also discuss the amount of data needed to see the first regularities in weight data.
Original languageEnglish
Title of host publicationProceedings of the 12th Nordic Baltic Conference on Biomedical Engineering and Medical Physics, 12NBC 2002, Reykjavik, 2002
Place of PublicationReykjavik
Pages248-249
Publication statusPublished - 2002
MoE publication typeA4 Article in a conference publication
Event12th Nordic-Baltic Conference on Biomedical Engineering, 12NBC 2002: 12NBC 2002 - Reykjavik, Iceland
Duration: 18 Jun 200222 Jun 2002

Conference

Conference12th Nordic-Baltic Conference on Biomedical Engineering, 12NBC 2002
CountryIceland
CityReykjavik
Period18/06/0222/06/02

Fingerprint

Frequency domain analysis
Ubiquitous computing
Signal processing
Health
Monitoring

Keywords

  • health monitoring
  • irregular sampling
  • spectrum estimation
  • weight management
  • ubiquitous computing

Cite this

Pärkkä, J., van Gils, M., Lappalainen, R., & Korhonen, I. (2002). Processing wellness data in intelligent home monitoring applications. In Proceedings of the 12th Nordic Baltic Conference on Biomedical Engineering and Medical Physics, 12NBC 2002, Reykjavik, 2002 (pp. 248-249). Reykjavik.
Pärkkä, Juha ; van Gils, Mark ; Lappalainen, Raimo ; Korhonen, Ilkka. / Processing wellness data in intelligent home monitoring applications. Proceedings of the 12th Nordic Baltic Conference on Biomedical Engineering and Medical Physics, 12NBC 2002, Reykjavik, 2002. Reykjavik, 2002. pp. 248-249
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title = "Processing wellness data in intelligent home monitoring applications",
abstract = "Health measurement applications are nowadays being built as part of ubiquitous computing environments. From a signal processing point of view this introduces some new problems as data is being recorded as part of everyday life in a home environment. In this paper we use weight data as an example and discuss methods for frequency domain analysis of irregularly sampled data. We also discuss the amount of data needed to see the first regularities in weight data.",
keywords = "health monitoring, irregular sampling, spectrum estimation, weight management, ubiquitous computing",
author = "Juha P{\"a}rkk{\"a} and {van Gils}, Mark and Raimo Lappalainen and Ilkka Korhonen",
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Pärkkä, J, van Gils, M, Lappalainen, R & Korhonen, I 2002, Processing wellness data in intelligent home monitoring applications. in Proceedings of the 12th Nordic Baltic Conference on Biomedical Engineering and Medical Physics, 12NBC 2002, Reykjavik, 2002. Reykjavik, pp. 248-249, 12th Nordic-Baltic Conference on Biomedical Engineering, 12NBC 2002, Reykjavik, Iceland, 18/06/02.

Processing wellness data in intelligent home monitoring applications. / Pärkkä, Juha; van Gils, Mark; Lappalainen, Raimo; Korhonen, Ilkka.

Proceedings of the 12th Nordic Baltic Conference on Biomedical Engineering and Medical Physics, 12NBC 2002, Reykjavik, 2002. Reykjavik, 2002. p. 248-249.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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PY - 2002

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N2 - Health measurement applications are nowadays being built as part of ubiquitous computing environments. From a signal processing point of view this introduces some new problems as data is being recorded as part of everyday life in a home environment. In this paper we use weight data as an example and discuss methods for frequency domain analysis of irregularly sampled data. We also discuss the amount of data needed to see the first regularities in weight data.

AB - Health measurement applications are nowadays being built as part of ubiquitous computing environments. From a signal processing point of view this introduces some new problems as data is being recorded as part of everyday life in a home environment. In this paper we use weight data as an example and discuss methods for frequency domain analysis of irregularly sampled data. We also discuss the amount of data needed to see the first regularities in weight data.

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KW - irregular sampling

KW - spectrum estimation

KW - weight management

KW - ubiquitous computing

M3 - Conference article in proceedings

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BT - Proceedings of the 12th Nordic Baltic Conference on Biomedical Engineering and Medical Physics, 12NBC 2002, Reykjavik, 2002

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Pärkkä J, van Gils M, Lappalainen R, Korhonen I. Processing wellness data in intelligent home monitoring applications. In Proceedings of the 12th Nordic Baltic Conference on Biomedical Engineering and Medical Physics, 12NBC 2002, Reykjavik, 2002. Reykjavik. 2002. p. 248-249