Improved measurement of blood pressure by extraction of characteristic features from the cuff oscillometric waveform

We present a novel approach to improve the estimation of systolic (SBP) and diastolic blood pressure (DBP) from oscillometric waveform data using variable characteristic ratios between SBP and DBP with mean arterial pressure (MAP). This was verified in 25 healthy subjects, aged 28 +/- 5 years. The m...

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Những tác giả chính: Lim, P.K., Ng, S.C., Jassim, W.A., Redmond, S.J., Zilany, M., Avolio, A., Lim, E., Tan, M.P., Lovell, N.H.
Định dạng: Bài viết
Ngôn ngữ:English
Được phát hành: 2015
Những chủ đề:
Truy cập trực tuyến:http://eprints.um.edu.my/15764/1/Improved_Measurement_of_Blood_Pressure_by_Extraction_of_Characteristic_Features.pdf
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author Lim, P.K.
Ng, S.C.
Jassim, W.A.
Redmond, S.J.
Zilany, M.
Avolio, A.
Lim, E.
Tan, M.P.
Lovell, N.H.
author_facet Lim, P.K.
Ng, S.C.
Jassim, W.A.
Redmond, S.J.
Zilany, M.
Avolio, A.
Lim, E.
Tan, M.P.
Lovell, N.H.
author_sort Lim, P.K.
collection UM
description We present a novel approach to improve the estimation of systolic (SBP) and diastolic blood pressure (DBP) from oscillometric waveform data using variable characteristic ratios between SBP and DBP with mean arterial pressure (MAP). This was verified in 25 healthy subjects, aged 28 +/- 5 years. The multiple linear regression (MLR) and support vector regression (SVR) models were used to examine the relationship between the SBP and the DBP ratio with ten features extracted from the oscillometric waveform envelope (OWE). An automatic algorithm based on relative changes in the cuff pressure and neighbouring oscillometric pulses was proposed to remove outlier points caused by movement artifacts. Substantial reduction in the mean and standard deviation of the blood pressure estimation errors were obtained upon artifact removal. Using the sequential forward floating selection (SFFS) approach, we were able to achieve a significant reduction in the mean and standard deviation of differences between the estimated SBP values and the reference scoring (MLR: mean +/- SD = -0.3 +/- 5.8 mmHg; SVR and -0.6 +/- 5.4 mmHg) with only two features, i.e., Ratio(2) and Area(3), as compared to the conventional maximum amplitude algorithm (MAA) method (mean +/- SD = -1.6 +/- 8.6 mmHg). Comparing the performance of both MLR and SVR models, our results showed that the MLR model was able to achieve comparable performance to that of the SVR model despite its simplicity.
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spelling um.eprints-157642016-04-14T06:53:25Z http://eprints.um.edu.my/15764/ Improved measurement of blood pressure by extraction of characteristic features from the cuff oscillometric waveform Lim, P.K. Ng, S.C. Jassim, W.A. Redmond, S.J. Zilany, M. Avolio, A. Lim, E. Tan, M.P. Lovell, N.H. T Technology (General) TA Engineering (General). Civil engineering (General) We present a novel approach to improve the estimation of systolic (SBP) and diastolic blood pressure (DBP) from oscillometric waveform data using variable characteristic ratios between SBP and DBP with mean arterial pressure (MAP). This was verified in 25 healthy subjects, aged 28 +/- 5 years. The multiple linear regression (MLR) and support vector regression (SVR) models were used to examine the relationship between the SBP and the DBP ratio with ten features extracted from the oscillometric waveform envelope (OWE). An automatic algorithm based on relative changes in the cuff pressure and neighbouring oscillometric pulses was proposed to remove outlier points caused by movement artifacts. Substantial reduction in the mean and standard deviation of the blood pressure estimation errors were obtained upon artifact removal. Using the sequential forward floating selection (SFFS) approach, we were able to achieve a significant reduction in the mean and standard deviation of differences between the estimated SBP values and the reference scoring (MLR: mean +/- SD = -0.3 +/- 5.8 mmHg; SVR and -0.6 +/- 5.4 mmHg) with only two features, i.e., Ratio(2) and Area(3), as compared to the conventional maximum amplitude algorithm (MAA) method (mean +/- SD = -1.6 +/- 8.6 mmHg). Comparing the performance of both MLR and SVR models, our results showed that the MLR model was able to achieve comparable performance to that of the SVR model despite its simplicity. 2015-06 Article PeerReviewed application/pdf en http://eprints.um.edu.my/15764/1/Improved_Measurement_of_Blood_Pressure_by_Extraction_of_Characteristic_Features.pdf Lim, P.K. and Ng, S.C. and Jassim, W.A. and Redmond, S.J. and Zilany, M. and Avolio, A. and Lim, E. and Tan, M.P. and Lovell, N.H. (2015) Improved measurement of blood pressure by extraction of characteristic features from the cuff oscillometric waveform. Sensors, 15 (6). pp. 14142-14161. ISSN 14142-14161, DOI https://doi.org/10.3390/s150614142 <https://doi.org/10.3390/s150614142>. http://www.ncbi.nlm.nih.gov/pubmed/26087370 10.3390/s150614142
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
Lim, P.K.
Ng, S.C.
Jassim, W.A.
Redmond, S.J.
Zilany, M.
Avolio, A.
Lim, E.
Tan, M.P.
Lovell, N.H.
Improved measurement of blood pressure by extraction of characteristic features from the cuff oscillometric waveform
title Improved measurement of blood pressure by extraction of characteristic features from the cuff oscillometric waveform
title_full Improved measurement of blood pressure by extraction of characteristic features from the cuff oscillometric waveform
title_fullStr Improved measurement of blood pressure by extraction of characteristic features from the cuff oscillometric waveform
title_full_unstemmed Improved measurement of blood pressure by extraction of characteristic features from the cuff oscillometric waveform
title_short Improved measurement of blood pressure by extraction of characteristic features from the cuff oscillometric waveform
title_sort improved measurement of blood pressure by extraction of characteristic features from the cuff oscillometric waveform
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
url http://eprints.um.edu.my/15764/1/Improved_Measurement_of_Blood_Pressure_by_Extraction_of_Characteristic_Features.pdf
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