Towards symbolization of intensive monitoring data for knowledge based inference systems

Aki Mäkivirta; Tommi Sukuvaara; Erkki Koski; Seppo Kalli

doi:10.1109/iembs.1988.95052

Towards symbolization of intensive monitoring data for knowledge based inference systems

Aki Mäkivirta, Tommi Sukuvaara, Erkki Koski, Seppo Kalli

VTT Technical Research Centre of Finland

Kuopio University Hospital

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

Computer programs have been built for automatic collection of all intensively monitored physiological data, their storage and retrieval, graphically browsing the data, and testing any processing methods. A robust method for performing symbolization is proposed and tested with real data using the programs mentioned above. The method for performing symbolization is based on the use of a median filter bank for extraction of activities within speed of variation ranges. These are used to characterize the signal contents in terms of variability to extract information about short-term activity and long-term trends. The symbolic description of the signal at a given moment is based on this information. The authors' method also gives information about the credibility of the activity findings and their symbolic representation.

Original language	English
Title of host publication	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	1282-1284
ISBN (Print)	0-7803-0785-2
DOIs	https://doi.org/10.1109/iembs.1988.95052
Publication status	Published - 1988
MoE publication type	A4 Article in a conference publication
Event	10th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS) - New Orleans, United States Duration: 4 Nov 1988 → 7 Nov 1988

Conference

Conference	10th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS)
Country/Territory	United States
City	New Orleans
Period	4/11/88 → 7/11/88

Access to Document

10.1109/iembs.1988.95052

Cite this

Mäkivirta, A., Sukuvaara, T., Koski, E., & Kalli, S. (1988). Towards symbolization of intensive monitoring data for knowledge based inference systems. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 1282-1284). IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/iembs.1988.95052

@inproceedings{3392c5fe0d1341d6b2e61e6641e98e32,

title = "Towards symbolization of intensive monitoring data for knowledge based inference systems",

abstract = "Computer programs have been built for automatic collection of all intensively monitored physiological data, their storage and retrieval, graphically browsing the data, and testing any processing methods. A robust method for performing symbolization is proposed and tested with real data using the programs mentioned above. The method for performing symbolization is based on the use of a median filter bank for extraction of activities within speed of variation ranges. These are used to characterize the signal contents in terms of variability to extract information about short-term activity and long-term trends. The symbolic description of the signal at a given moment is based on this information. The authors' method also gives information about the credibility of the activity findings and their symbolic representation.",

author = "Aki M{\"a}kivirta and Tommi Sukuvaara and Erkki Koski and Seppo Kalli",

year = "1988",

doi = "10.1109/iembs.1988.95052",

language = "English",

isbn = "0-7803-0785-2",

pages = "1282--1284",

booktitle = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

note = "10th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS) ; Conference date: 04-11-1988 Through 07-11-1988",

}

Mäkivirta, A, Sukuvaara, T, Koski, E & Kalli, S 1988, Towards symbolization of intensive monitoring data for knowledge based inference systems. in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Institute of Electrical and Electronic Engineers, pp. 1282-1284, 10th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), New Orleans, Louisiana, United States, 4/11/88. https://doi.org/10.1109/iembs.1988.95052

Towards symbolization of intensive monitoring data for knowledge based inference systems. / Mäkivirta, Aki; Sukuvaara, Tommi; Koski, Erkki et al.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Institute of Electrical and Electronic Engineers, 1988. p. 1282-1284.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Towards symbolization of intensive monitoring data for knowledge based inference systems

AU - Mäkivirta, Aki

AU - Sukuvaara, Tommi

AU - Koski, Erkki

AU - Kalli, Seppo

PY - 1988

Y1 - 1988

N2 - Computer programs have been built for automatic collection of all intensively monitored physiological data, their storage and retrieval, graphically browsing the data, and testing any processing methods. A robust method for performing symbolization is proposed and tested with real data using the programs mentioned above. The method for performing symbolization is based on the use of a median filter bank for extraction of activities within speed of variation ranges. These are used to characterize the signal contents in terms of variability to extract information about short-term activity and long-term trends. The symbolic description of the signal at a given moment is based on this information. The authors' method also gives information about the credibility of the activity findings and their symbolic representation.

AB - Computer programs have been built for automatic collection of all intensively monitored physiological data, their storage and retrieval, graphically browsing the data, and testing any processing methods. A robust method for performing symbolization is proposed and tested with real data using the programs mentioned above. The method for performing symbolization is based on the use of a median filter bank for extraction of activities within speed of variation ranges. These are used to characterize the signal contents in terms of variability to extract information about short-term activity and long-term trends. The symbolic description of the signal at a given moment is based on this information. The authors' method also gives information about the credibility of the activity findings and their symbolic representation.

U2 - 10.1109/iembs.1988.95052

DO - 10.1109/iembs.1988.95052

M3 - Conference article in proceedings

SN - 0-7803-0785-2

SP - 1282

EP - 1284

BT - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 10th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS)

Y2 - 4 November 1988 through 7 November 1988

ER -

Towards symbolization of intensive monitoring data for knowledge based inference systems

Abstract

Conference

Access to Document

Fingerprint

Cite this