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.
|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|
|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||12th Nordic-Baltic Conference on Biomedical Engineering, 12NBC 2002|
|Period||18/06/02 → 22/06/02|
- health monitoring
- irregular sampling
- spectrum estimation
- weight management
- ubiquitous computing
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).