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 |
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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 |
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Country/Territory | United States |
City | Boston |
Period | 13/11/87 → 16/11/87 |