Towards quantitative analysis of continuous long-term blood pressure recordings

Seppo Kalli

Towards quantitative analysis of continuous long-term blood pressure recordings

Seppo Kalli

VTT Technical Research Centre of Finland

VTT (former employee or external)

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

Abstract

The development of methods and techniques to analyze continuously, recorded ambulatory blood pressure data is discussed. The methods provide overall statistical analysis and analysis of both long-term and short-term features in the data. The analysis of long-term features is based on signal decomposition in time domain with nonlinear median type processing. For the short-term features an analysis method is introduced that utilizes the cardiovascular closed-loop system between heart rate and blood pressure, which is identified using the multivariate autoregressive modeling technique.

Original language	English
Title of host publication	Proceedings of the ninth annual conference of the IEEE Engineering in Medicine and Biology Society
Editors	Joachim H. Nagel, William M. Smith
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	237-238
Publication status	Published - 1987
MoE publication type	A4 Article in a conference publication
Event	9th Annual Conference of the IEEE Engineering in Medicine and Biology Society - Boston, United States Duration: 13 Nov 1987 → 16 Nov 1987

Conference

Conference	9th Annual Conference of the IEEE Engineering in Medicine and Biology Society
Country/Territory	United States
City	Boston
Period	13/11/87 → 16/11/87

Cite this

@inproceedings{a44f788882134425962c66b772171b5f,

title = "Towards quantitative analysis of continuous long-term blood pressure recordings",

abstract = "The development of methods and techniques to analyze continuously, recorded ambulatory blood pressure data is discussed. The methods provide overall statistical analysis and analysis of both long-term and short-term features in the data. The analysis of long-term features is based on signal decomposition in time domain with nonlinear median type processing. For the short-term features an analysis method is introduced that utilizes the cardiovascular closed-loop system between heart rate and blood pressure, which is identified using the multivariate autoregressive modeling technique.",

author = "Seppo Kalli",

year = "1987",

language = "English",

pages = "237--238",

editor = "Nagel, \{Joachim H.\} and Smith, \{William M.\}",

booktitle = "Proceedings of the ninth annual conference of the IEEE Engineering in Medicine and Biology Society",

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

address = "United States",

note = "9th Annual Conference of the IEEE Engineering in Medicine and Biology Society ; Conference date: 13-11-1987 Through 16-11-1987",

}

Kalli, S 1987, Towards quantitative analysis of continuous long-term blood pressure recordings. in JH Nagel & WM Smith (eds), Proceedings of the ninth annual conference of the IEEE Engineering in Medicine and Biology Society. IEEE Institute of Electrical and Electronic Engineers, pp. 237-238, 9th Annual Conference of the IEEE Engineering in Medicine and Biology Society, Boston, Massachusetts, United States, 13/11/87.

Towards quantitative analysis of continuous long-term blood pressure recordings. / Kalli, Seppo.
Proceedings of the ninth annual conference of the IEEE Engineering in Medicine and Biology Society. ed. / Joachim H. Nagel; William M. Smith. IEEE Institute of Electrical and Electronic Engineers, 1987. p. 237-238.

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

TY - GEN

T1 - Towards quantitative analysis of continuous long-term blood pressure recordings

AU - Kalli, Seppo

PY - 1987

Y1 - 1987

N2 - The development of methods and techniques to analyze continuously, recorded ambulatory blood pressure data is discussed. The methods provide overall statistical analysis and analysis of both long-term and short-term features in the data. The analysis of long-term features is based on signal decomposition in time domain with nonlinear median type processing. For the short-term features an analysis method is introduced that utilizes the cardiovascular closed-loop system between heart rate and blood pressure, which is identified using the multivariate autoregressive modeling technique.

AB - The development of methods and techniques to analyze continuously, recorded ambulatory blood pressure data is discussed. The methods provide overall statistical analysis and analysis of both long-term and short-term features in the data. The analysis of long-term features is based on signal decomposition in time domain with nonlinear median type processing. For the short-term features an analysis method is introduced that utilizes the cardiovascular closed-loop system between heart rate and blood pressure, which is identified using the multivariate autoregressive modeling technique.

M3 - Conference article in proceedings

SP - 237

EP - 238

BT - Proceedings of the ninth annual conference of the IEEE Engineering in Medicine and Biology Society

A2 - Nagel, Joachim H.

A2 - Smith, William M.

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 9th Annual Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 13 November 1987 through 16 November 1987

ER -

Towards quantitative analysis of continuous long-term blood pressure recordings

Abstract

Conference

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