Patient-Specific Oscillometric Blood Pressure Measurement

Liu, Jiankun; Cheng, Hao Min; Chen, Chen Huan; Sung, Shih Hsien; Moslehpour, Mohsen; Hahn, Jin‐Oh; Mukkamala, Ramakrishna

doi:10.1109/tbme.2015.2491270

Cited by 46 publications

(37 citation statements)

References 13 publications

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“…Note that these parameter settings are buttressed by directly measured compliance curves [9]. Hence, the optimized patient-specific method estimated four parameters [SP, DP, c, e] from the oscillogram and yielded BP estimates with similar accuracy to the originally established method on the training dataset (see results elsewhere [6]). …”

Section: Methodsmentioning

confidence: 87%

“…In this way, the routinely used devices may not only maintain accuracy over a wider BP range but also be less sensitive to common physiologic deviations in the oscillogram and thus more repeatable. We also demonstrated that the method can offer improved accuracy compared to population average methods [6]. However, this demonstration was based on a limited set of testing data comprising 20 patients without repeated measurements and thus provided only proof-of-concept.…”

Section: Discussionmentioning

confidence: 98%

“…(3)) via root finding, and MP is computed as the time average of the derived waveform.

FIGURE 1.The patient-specific method for estimating blood pressure (BP) from the oscillogram [6]: (a) The first two steps produce estimates for systolic and diastolic pressure (SP and DP) and the parameters, a, b, c, and e, which characterize the underlying model of the brachial artery blood volume-transmural pressure relationship. (b) The last two steps use the resulting parameter estimates and measured cuff pressure oscillations to produce an estimate for mean pressure (MP).…”

Section: Methodsmentioning

confidence: 99%

“…The resulting user-selected variables were similar to those established previously [6]. The only differences were fixing the a parameter, which indicates the peak position of the brachial artery compliance curve, to 1.5 instead of 2.5 mmHg and the b parameter for each value of the c parameter such that the compliance curve was right-skewed by 40 rather than 35% about its maximum.…”

Section: Methodsmentioning

confidence: 99%

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Patient-Specific Oscillometric Blood Pressure Measurement: Validation for Accuracy and Repeatability

Liu

Cheng²,

Sung³

et al. 2017

IEEE J. Transl. Eng. Health Med.

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Oscillometric devices are widely used for automatic cuff blood pressure (BP) measurement. These devices estimate BP from the oscillometric cuff pressure waveform using population average methods. Hence, the devices may only be accurate over a limited BP range. The objective was to evaluate a new patient-specific method, which estimates BP by fitting a physiologic model to the same waveform. One-hundred and forty-five cardiac catheterization patients and normal adults were included for study. The oscillometric cuff pressure waveform was obtained with an office device, while reference BP was measured via brachial artery catheterization or auscultation, during baseline and/or nitroglycerin administration. Fifty-seven of the subject records were utilized for refining the patient-specific method, while the remaining 88 subject records were employed for evaluation. The precision errors for all BP levels of the patient-specific method ranged from 6.3 to 7.6 mmHg. These errors were significantly lower than those of the office device (by 29% on average) in subjects with high pulse pressure (>50 mmHg) while being comparable to those of the device in subjects with normal pulse pressure (<50 mmHg). The bias and precision of the differences in repeated estimates for all BP levels of the patient-specific method ranged from 0.1 to 1.1 and 2.1 to 5.9 mmHg, respectively. These precision differences were significantly lower than those of the office device (by 64% on average). The patient-specific method may afford more accurate automatic cuff BP measurement in patients with large artery stiffening while limiting the number of required cuff inflations/deflations per measurement.

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Section: Methodsmentioning

confidence: 87%

Section: Discussionmentioning

confidence: 98%

“…(3)) via root finding, and MP is computed as the time average of the derived waveform.

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Patient-Specific Oscillometric Blood Pressure Measurement: Validation for Accuracy and Repeatability

Liu

Cheng²,

Sung³

et al. 2017

IEEE J. Transl. Eng. Health Med.

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“…A noteworthy approach has been proposed by Liu et al [57]. They used a physiologic model in conjunction with model fitting [58]. The method has achieved to maintain blood pressure estimation accuracy whereas it was proven to be less sensitive to common physiologic deviations in the oscillogram.…”

Section: Discussionmentioning

confidence: 99%

Noninvasive Cardiac Output and Central Systolic Pressure From Cuff-Pressure and Pulse Wave Velocity

Bikia

Pagoulatou

Trachet

et al. 2020

IEEE J. Biomed. Health Inform.

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Goal: We introduce a novel approach to estimate cardiac output (CO) and central systolic blood pressure (cSBP) from noninvasive measurements of peripheral cuff-pressure and carotid-to-femoral pulse wave velocity (cf-PWV). Methods: The adjustment of a previously validated one-dimensional arterial tree model is achieved via an optimization process. In the optimization loop, compliance and resistance of the generic arterial tree model as well as aortic flow are adjusted so that simulated brachial systolic and diastolic pressures and cf-PWV converge towards the measured brachial systolic and diastolic pressures and cf-PWV. The process is repeated until full convergence in terms of both brachial pressures and cf-PWV is reached. To assess the accuracy of the proposed framework, we implemented the algorithm on in vivo anonymized data from 20 subjects and compared the methodderived estimates of CO and cSBP to patient-specific measurements obtained with Mobil-O-Graph apparatus (central pressure) and two-dimensional transthoracic echocardiography (aortic blood flow). Results: Both CO and cSBP estimates were found to be in good agreement with the reference values achieving an RMSE of 0.36 L/min and 2.46 mmHg, respectively. Low biases were reported, namely-0.04±0.36 L/min for CO predictions and-0.27±2.51 mmHg for cSBP predictions. Significance: Our onedimensional model can be successfully "tuned" to partially patient-specific standards by using noninvasive, easily obtained peripheral measurement data. The in vivo evaluation demonstrated that this method can potentially be used to obtain central aortic hemodynamic parameters in a noninvasive and accurate way.

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A Novel Blood Pressure Estimation Method with the Combination of Long Short Term Memory Neural Network and Principal Component Analysis Based on PPG Signals

Şentürk

Polat

Yücedağ

2020

Artificial Intelligence and Applied Mathematics in Engineering Problems

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Patient-Specific Oscillometric Blood Pressure Measurement

Cited by 46 publications

References 13 publications

Patient-Specific Oscillometric Blood Pressure Measurement: Validation for Accuracy and Repeatability

Patient-Specific Oscillometric Blood Pressure Measurement: Validation for Accuracy and Repeatability

Noninvasive Cardiac Output and Central Systolic Pressure From Cuff-Pressure and Pulse Wave Velocity

A Novel Blood Pressure Estimation Method with the Combination of Long Short Term Memory Neural Network and Principal Component Analysis Based on PPG Signals

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