Oscillometric blood pressure measurements: A signal analysis

Barbé, Kurt; Moer, Wendy Van; Lauwers, Lieve

doi:10.1088/1742-6596/238/1/012052

Cited by 6 publications

(3 citation statements)

References 3 publications

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“…In [173], [174], the Taylor-Fourier transform was employed to decompose the OMW into biorthogonal components based on which the respiration and the cardiac activity were separated. In [175], [176], the OMW was modeled by a sinusoidal amplitude-modulated signal. The distortions of the OMWE were then removed by suppressing the unwanted harmonics and intermodulation products of the model.…”

Section: Respiration Extraction and Removalmentioning

confidence: 99%

Oscillometric Blood Pressure Estimation: Past, Present, and Future

Forouzanfar

Dajani

Groza

et al. 2015

IEEE Rev. Biomed. Eng.

155

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The use of automated blood pressure (BP) monitoring is growing as it does not require much expertise and can be performed by patients several times a day at home. Oscillometry is one of the most common measurement methods used in automated BP monitors. A review of the literature shows that a large variety of oscillometric algorithms have been developed for accurate estimation of BP but these algorithms are scattered in many different publications or patents. Moreover, considering that oscillometric devices dominate the home BP monitoring market, little effort has been made to survey the underlying algorithms that are used to estimate BP. In this review, a comprehensive survey of the existing oscillometric BP estimation algorithms is presented. The survey covers a broad spectrum of algorithms including the conventional maximum amplitude and derivative oscillometry as well as the recently proposed learning algorithms, model-based algorithms, and algorithms that are based on analysis of pulse morphology and pulse transit time. The aim is to classify the diverse underlying algorithms, describe each algorithm briefly, and discuss their advantages and disadvantages. This paper will also review the artifact removal techniques in oscillometry and the current standards for the automated BP monitors.

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Section: Respiration Extraction and Removalmentioning

confidence: 99%

Oscillometric Blood Pressure Estimation: Past, Present, and Future

Forouzanfar

Dajani

Groza

et al. 2015

IEEE Rev. Biomed. Eng.

155

View full text Add to dashboard Cite

show abstract

“…We further demonstrated from our analysis results ( Table 5 and Table 6 ) that the usage of variable characteristic ratio derived based on several features extracted from the OWE improved the blood pressure estimation accuracy over the conventional MAA method using fixed characteristic ratios (SBP: mean ± SD = −1.6 ± 8.6 mmHg; DBP: mean ± SD = 0.3 ± 6.7 mmHg). Due to the large uncertainties in the characteristic ratios reported in the literature [ 7 , 12 , 33 ], we used averages of the SBPR and DBPR ratios derived from our reference SBP and DBP measurements based on the expert readings. When evaluated individually ( Table 5 and Table 6 ), the MAP feature proposed by Lee et al [ 15 ] as well as the two newly proposed features in the present study, i.e.…”

Section: Discussionmentioning

confidence: 99%

Improved Measurement of Blood Pressure by Extraction of Characteristic Features from the Cuff Oscillometric Waveform

Lim

Jassim

et al. 2015

Sensors

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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., Ratio2 and Area3, 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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“…The oscillometric method is the most common approach [ 11 , 12 ] to be applied to electrical BP measurement instruments. It has the advantages of noninvasive measurement which requires less professional skills.…”

Section: Introductionmentioning

confidence: 99%

Development of a Blood Pressure Measurement Instrument with Active Cuff Pressure Control Schemes

Kuo

Chou

et al. 2017

Journal of Healthcare Engineering

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This paper presents an oscillometric blood pressure (BP) measurement approach based on the active control schemes of cuff pressure. Compared with conventional electronic BP instruments, the novelty of the proposed BP measurement approach is to utilize a variable volume chamber which actively and stably alters the cuff pressure during inflating or deflating cycles. The variable volume chamber is operated with a closed-loop pressure control scheme, and it is activated by controlling the piston position of a single-acting cylinder driven by a screw motor. Therefore, the variable volume chamber could significantly eliminate the air turbulence disturbance during the air injection stage when compared to an air pump mechanism. Furthermore, the proposed active BP measurement approach is capable of measuring BP characteristics, including systolic blood pressure (SBP) and diastolic blood pressure (DBP), during the inflating cycle. Two modes of air injection measurement (AIM) and accurate dual-way measurement (ADM) were proposed. According to the healthy subject experiment results, AIM reduced 34.21% and ADM reduced 15.78% of the measurement time when compared to a commercial BP monitor. Furthermore, the ADM performed much consistently (i.e., less standard deviation) in the measurements when compared to a commercial BP monitor.

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Oscillometric blood pressure measurements: A signal analysis

Cited by 6 publications

References 3 publications

Oscillometric Blood Pressure Estimation: Past, Present, and Future

Oscillometric Blood Pressure Estimation: Past, Present, and Future

Improved Measurement of Blood Pressure by Extraction of Characteristic Features from the Cuff Oscillometric Waveform

Development of a Blood Pressure Measurement Instrument with Active Cuff Pressure Control Schemes

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