Processing wellness data in intelligent home monitoring applications

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

Processing wellness data in intelligent home monitoring applications

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

Tampere University

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-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 language	English
Title of host publication	Proceedings of the 12th Nordic Baltic Conference on Biomedical Engineering and Medical Physics, 12NBC 2002, Reykjavik, 2002
Place of Publication	Reykjavik
Pages	248-249
Publication status	Published - 2002
MoE publication type	A4 Article in a conference publication
Event	12th Nordic-Baltic Conference on Biomedical Engineering, 12NBC 2002: 12NBC 2002 - Reykjavik, Iceland Duration: 18 Jun 2002 → 22 Jun 2002

Conference

Conference	12th Nordic-Baltic Conference on Biomedical Engineering, 12NBC 2002
Country/Territory	Iceland
City	Reykjavik
Period	18/06/02 → 22/06/02

Keywords

health monitoring
irregular sampling
spectrum estimation
weight management
ubiquitous computing

Cite this

@inproceedings{eecd805430664bb39100121e41481337,

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",

note = "Project code: T1SU00067; 12th Nordic-Baltic Conference on Biomedical Engineering, 12NBC 2002 : 12NBC 2002 ; Conference date: 18-06-2002 Through 22-06-2002",

year = "2002",

language = "English",

isbn = "9979-60-762-9",

pages = "248--249",

booktitle = "Proceedings of the 12th Nordic Baltic Conference on Biomedical Engineering and Medical Physics, 12NBC 2002, Reykjavik, 2002",

}

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 et al.
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 proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Processing wellness data in intelligent home monitoring applications

AU - Pärkkä, Juha

AU - van Gils, Mark

AU - Lappalainen, Raimo

AU - Korhonen, Ilkka

N1 - Project code: T1SU00067

PY - 2002

Y1 - 2002

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.

KW - health monitoring

KW - irregular sampling

KW - spectrum estimation

KW - weight management

KW - ubiquitous computing

M3 - Conference article in proceedings

SN - 9979-60-762-9

SP - 248

EP - 249

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

CY - Reykjavik

T2 - 12th Nordic-Baltic Conference on Biomedical Engineering, 12NBC 2002

Y2 - 18 June 2002 through 22 June 2002

ER -

Processing wellness data in intelligent home monitoring applications

Abstract

Conference

Keywords

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