Oscillometric determination of diastolic, mean and systolic blood pressure—A numerical model
Abstract
A theoretical model of oscillometric blood pressure measurement is presented. Particular emphasis is paid to the collapse behavior of the artery, and an exponential volume-pressure curve is used. The results of this study suggest that mean blood pressure can be accurately predicted from the peak of the oscillometric curve if corrections related to the cuff pressure waveform are applied. It is also shown, however, that systolic and diastolic pressure may not in general be accurately determined from fixed amplitude ratios based on the oscillometric peak due to the sensitivity of the method to variations in blood pressure waveform, pulse pressure, and arterial compliance. No simple procedures are found to correct for these effects.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
When the transmural pressure reaches zero, the AC amplitude reaches its maximum.
“When the transmural pressure reaches zero, the AC amplitude reaches its maximum [204,205].”
From Sources of inaccuracy in photoplethysmography for continuous cardiovascular monitoring (2021) · cites this paper as [205]
With the change in transmural pressure, there is a related compliance change in the affected vessel, and the vessel reaches maximum compliance when the transmural pressure is zero.
“With the change in transmural pressure, there is also a related compliance change in the affected vessel. The vessel reaches maximum compliance when the transmural pressure is zero [205].”
From Sources of inaccuracy in photoplethysmography for continuous cardiovascular monitoring (2021) · cites this paper as [205]
Cited by
Sorted by citations
Measurement and Interpretation of the Ankle-Brachial Index
Aboyans, V., Criqui, M. H., Abraham, P., Allison, M., Creager, M. A., Diehm, C., Fowkes, F. G. R., Hiatt, W. R., Jönsson, B., Lacroix, P., et al. (2012) · Circulation · doi:10.1161/cir.0b013e318276fbcb · Cited by 1,738 · see citing works
“185 This general observation is confirmed by 2 comparative studies 147,184 but has been challenged recently by Richart et al, 165 who used a 4-cuff oscillometric device.”
Sources of inaccuracy in photoplethysmography for continuous cardiovascular monitoring
Fine, J., Branan, K. L., Rodriguez, A. J., Boonya-ananta, T., Ajmal, Ramella-Roman, J. C., McShane, M. J., & Coté, G. L. (2021) · Biosensors · doi:10.3390/bios11040126 · Cited by 348 · see citing works
Theory of the oscillometric maximum and the systolic and diastolic detection ratios
Drzewiecki, G. M., Hood, R. R., & Apple, H. (1994) · Annals of Biomedical Engineering · doi:10.1007/bf02368225 · Cited by 251 · see citing works
Oscillometric Blood Pressure Estimation: Past, Present, and Future
Forouzanfar, M., Dajani, H. R., Groza, V. Z., Bolic, M., Rajan, S., & Batkin, I. (2015) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2015.2434215 · Cited by 196 · see citing works
“in [62] to study the effect of different parameters on the cuff pressure oscillations.”
BackgroundMethodInfluentialUrsino, M., & Cristalli, C. (1996) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.508540 · Cited by 179 · see citing works
Babbs, C. F. (2012) · BioMedical Engineering OnLine · doi:10.1186/1475-925x-11-56 · Cited by 178 · see citing works
“These empirical ratios are sensitive however to changes in physiological conditions, including most importantly the pulse pressure (systolic minus diastolic blood pressure) and the degree of arterial stiffness [9,10].”
BackgroundResultInfluentialBaker, P. D., Westenskow, D. R., & Kück, K. (1997) · Medical & Biological Engineering & Computing · doi:10.1007/bf02530049 · Cited by 140 · see citing works
Theoretical study on the effect of sensor contact force on pulse transit time
Teng, X.-F., & Zhang, Y.-T. (2007) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2007.900815 · Cited by 94 · see citing works
“[37] for negative transmural pressure is presented in Fig.”
BackgroundCoefficient-Free Blood Pressure Estimation Based on Pulse Transit Time–Cuff Pressure Dependence
Forouzanfar, M., Ahmad, S., Batkin, I., Dajani, H. R., Groza, V. Z., & Bolić, M. (2013) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2013.2243148 · Cited by 80 · see citing works
“The most common model for the arterial pressure–area relationship is the exponential model proposed in [24] and [25] and adopted in many research studies on oscillometry [19], [21], [26]–[29], defined as follows:”
MethodFeature-Based Neural Network Approach for Oscillometric Blood Pressure Estimation
Forouzanfar, M., Dajani, H. R., Groza, V. Z., Bolić, M., & Rajan, S. (2011) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2011.2123210 · Cited by 80 · see citing works
Reduction of interference in oscillometric arterial blood pressure measurement using fuzzy logic
Lin, C., Liu, S.-H., Wang, J.-J., & Wen, Z. (2003) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2003.809502 · Cited by 73 · see citing works
“In several previous studies, the relationship between the cuff pressure and OA has been investigated when the cuff was deflated [ 18 ], [19].”
Non-invasive assessment of arterial stiffness using oscillometric blood pressure measurement
Komine, H., Asai, Y., Yokoi, T., & Yoshizawa, M. (2012) · BioMedical Engineering OnLine · doi:10.1186/1475-925x-11-6 · Cited by 68 · see citing works
“Furthermore, a computer simulation that described the curve between transmural pressure and arterial volume during deflation of a cuff wrapped around the upper arm also found a steeper slope in compliant than in stiff brachial arteries [10].”
BackgroundInfluentialRaamat, R., Talts, J., Jagomägi, K., et al. (1999) · Medical & Biological Engineering & Computing · doi:10.1007/bf02513382 · Cited by 59 · see citing works
“Both relationships follow the exponential collapse model of the vessel (FORSTER et al., 1986).”
BackgroundThe effect of applied sensor contact force on pulse transit time
Teng, X. F., & Zhang, Y. T. (2006) · Physiological Measurement · doi:10.1088/0967-3334/27/8/002 · Cited by 53 · see citing works
Forouzanfar, M., Dajani, H. R., Groza, V. Z., et al. (2010) · International Workshop on Soft Computing Applications (SOFA) · doi:10.1109/sofa.2010.5565614 · Cited by 44 · see citing works
“The MAA uses fixed amplitude ratios based on the oscillometric peak to determine the time points at which the CP coincides with the systolic and diastolic pressures, respectively.”
MethodNakashima-Sasaki, R., Kino, T., Chen, L., Doi, H., Minegishi, S., Abe, K., Sugano, T., Taguri, M., & Ishigami, T. (2016) · Journal of Cardiology · doi:10.1016/j.jjcc.2016.06.004 · Cited by 43 · see citing works
“increasing intra-arterial pressure, and the corresponding brachial arterial volume can be described as a sigmoidal curve [18–20].”
BackgroundLiang, F., Takagi, S., Himeno, R., & Liu, H. (2011) · Computer Methods in Biomechanics & Biomedical Engineering · doi:10.1080/10255842.2011.610305 · Cited by 35 · see citing works
Narus, S. P., Egbert, T. P., Lee, T.-K., et al. (1995) · The Journal of Clinical Monitoring · doi:10.1007/bf01616986 · Cited by 35 · see citing works
Zheng, D., & Murray, A. (2009) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2009.02.011 · Cited by 32 · see citing works
“The non-linearity could then be compared with results from the physiological exponential elastic model (Forster and Turney, 1986; Hardy and Collins, 1982) and Langewouters’ arctangent model (Langewouters et al., 1984), and with published data.”
MethodResultGevers, M., van Genderingen, H. R., Lafeber, H. N., & Hack, W. W. M. (1996) · Intensive Care Medicine · doi:10.1007/bf01712244 · Cited by 32 · see citing works
Lee, B. Y., Campbell, J. S., & Berkowitz, P. (1996) · Journal of Vascular Surgery · doi:10.1016/s0741-5214(05)80041-2 · Cited by 31 · see citing works
Model-based synthetic fuzzy logic controller for indirect blood pressure measurement
Wang, J.-J., Lin, C., Liu, S.-H., & Wen, Z. (2002) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2002.999807 · Cited by 31 · see citing works
“Korotkoff methods. Both methods apply an occlusive cuff, as an external pressure source, wrapping around a subject’s upper arm to disclose the systolic and diastolic pressures within 30 to 60 s. In the oscillometric method, as the occluding cuff pressure is gradually reduced from above systolic values to below diastol…”
MethodOscillometric blood pressure estimation using principal component analysis and neural networks
Forouzanfar, M., Dajani, H. R., Groza, V. Z., Bolić, M., & Rajan, S. (2009) · IEEE Toronto International Conference Science and Technology for Humanity · doi:10.1109/tic-sth.2009.5444353 · Cited by 27 · see citing works
“Because the traditional auscultatory technique is difficult to automate, electronic BP monitoring devices have been developed based on the so-called “oscillometric” method which estimates the BP from the recorded pressure waveforms [ 2-4 ].”
BackgroundMethodNg, K.-G., & Small, C. F. (1993) · Journal of Biomedical Engineering · doi:10.1016/0141-5425(93)90003-h · Cited by 24 · see citing works
Adaptive neuro-fuzzy inference system for oscillometric blood pressure estimation
Forouzanfar, M., Dajani, H. R., Groza, V. Z., Bolić, M., & Rajan, S. (2010) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea.2010.5480225 · Cited by 23 · see citing works
“It has been shown [ 3 ], that the mean BP may be estimated accurately by MAA.”
MethodMathematical modeling and parameter estimation of blood pressure oscillometric waveform
Forouzanfar, M., Balasingam, B., Dajani, H. R., et al. (2012) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea.2012.6226639 · Cited by 22 · see citing works
“A similar model was utilized in [9] to study the effect of different parameters on the cuff pressure oscillations.”
MethodDhamotharan, V., Chandrasekhar, A., Cheng, H., Chen, C., Sung, S., Landry, C., Hahn, J., Mahajan, A., Shroff, S. G., & Mukkamala, R. (2022) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2022.3201433 · Cited by 23 · see citing works
“oscillogram models [9], [10], [11], [12], [14], [15], [16], [17], [18], [19], [20] and three additional prospective three-parameter functions that we identified according to predefined criteria (see”
BackgroundMethodInfluentialIs oscillometric ankle pressure reliable in leg vascular disease?
Jönsson, B., Lindberg, L., Skau, T., & Thulesius, O. (2001) · Clinical Physiology · doi:10.1046/j.1365-2281.2001.00314.x · Cited by 21 · see citing works
Yamanashi, H., Koyamatsu, J., Nagayoshi, M., Shimizu, Y., Kawashiri, S., Kondo, H., Fukui, S., Tamai, M., & Maeda, T. (2018) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.43125 · Cited by 20 · see citing works
Accuracy of some algorithms to determine the oscillometric mean arterial pressure
Raamat, R., Talts, J., Jagomägi, K., & Kivastik, J. (2012) · Blood Pressure Monitoring · doi:10.1097/mbp.0b013e32835d12f6 · Cited by 19 · see citing works
Talts, J., Raamat, R., Jagomägi, K., & Kivastik, J. (2011) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-642-21683-1_18 · Cited by 16 · see citing works
Mather, J. D., Hayes, L. D., Mair, J. L., & Sculthorpe, N. F. (2024) · Frontiers in Digital Health · doi:10.3389/fdgth.2024.1326511 · Cited by 17 · see citing works
“AC amplitude reaches its maximum when transmural pressure, de fi ned as the difference between intraarterial pressure on the vessel wall and contact pressure, reach zero (61, 62).”
BackgroundBogatu, L. I., Turco, S., Mischi, M., et al. (2020) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2020.3023218 · Cited by 14 · see citing works
A model-based fuzzy logic controller with Kalman filtering for tracking mean arterial pressure
Liu, S.-H., & Lin, C. (2001) · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans · doi:10.1109/3468.983423 · Cited by 14 · see citing works
“[1]–[4].”
BackgroundAdvancing PPG-Based Continuous Blood Pressure Monitoring from a Generative Perspective
Ji, H., & Zhou, P. (2024) · ACM Conference on Embedded Networked Sensor Systems (SenSys) · doi:10.1145/3666025.3699365 · Cited by 11 · see citing works
“This paper proposes the first end-to-end diffusion model based framework PPGG, which generates high-fidelity ECG signals with PPG condition, for predicting blood pressure.”
Hansen, K. W. (1996) · Journal of Diabetes and its Complications · doi:10.1016/s1056-8727(96)00065-7 · Cited by 11 · see citing works
Liang, F., Liu, H., & Takagi, S. (2012) · Journal of Biomechanical Science and Engineering · doi:10.1299/jbse.7.15 · Cited by 10 · see citing works
A Simulation For Estimation Of The Blood Pressure Using Arterial Pressure-Volume Model
Jeon, G.-R., Jung, J.-H., Kim, I., Jeon, A.-Y., Yoon, S.-H., Son, J.-M., Kim, J.-H., Ye, S.-Y., Ro, J. H., Kim, D., et al. (2007) · doi:10.5281/zenodo.1076311 · Cited by 10 · see citing works
Koohi, I., Batkin, I., Groza, V. Z., Shirmohammadi, S., Dajani, H. R., & Ahmad, S. S. (2017) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2017.2657978 · Cited by 10 · see citing works
“The oscillating component A2(t) is proportional to OMWsim by φ [27].”
BackgroundJilek, J., & Fukushima, T. (2007) · Biomedical Instrumentation & Technology · doi:10.2345/0899-8205(2007)41[238:bfuwci]2.0.co;2 · Cited by 10 · see citing works
Goh, C.-L., & Nakatake, S. (2016) · IEICE Transactions on Information and Systems · doi:10.1587/transinf.2015dap0010 · Cited by 9 · see citing works
An integrated blood pressure measurement system for suppression of motion artifacts
Abderahman, H. N., Dajani, H. R., Bolić, M., & Groza, V. Z. (2017) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2017.03.007 · Cited by 9 · see citing works
Modeling of Noninvasive Arterial Blood Pressure Methods
Drzewiecki, G. M. (1998) · Springer eBooks · doi:10.1007/978-1-4612-1744-2_13 · Cited by 8 · see citing works
Raamat, R., Jagomägi, K., Talts, J., et al. (2003) · Clinical Physiology and Functional Imaging · doi:10.1046/j.1475-097x.2003.00474.x · Cited by 8 · see citing works
“…have been performed applying coefficients like pressure pulse shape index (Baker et al., 1997; Raamat et al., 1999), pressure form factor (Christensen et al., 1990), arterial pressure waveform coefficient ka (Forster & Turney, 1986) and pressure constant k (Voelz, 1981; Lemler et al., 1996).”
MethodA Modeling Approach for Coefficient-Free Oscillometric Blood Pressure Estimation
Forouzanfar, M. (2014) · uO Research (University of Ottawa) · doi:10.20381/ruor-4926 · Cited by 8 · see citing works
“[15] Simple model of the cuff-arm-artery system SBP, DBP, and MAP The SBP and DBP estimation method relied on fixed coefficients.”
BackgroundMethodInfluentialLuchette, M., & Akhondi‐Asl, A. (2024) · Pediatric Critical Care Medicine · doi:10.1097/pcc.0000000000003420 · Cited by 6 · see citing works
Koohi, I., Ahmad, S. S., Batkin, I., Groza, V. F., Shirmohammadi, S., & Dajani, H. R. (2016) · IEEE Instrumentation & Measurement Magazine · doi:10.1109/mim.2016.7579067 · Cited by 6 · see citing works
“The auscultatory method is very sensitive to noise and movements and requires trained examiners [3], [4].”
MethodZhang, X., Gou, Z., Wang, T., & Liang, F. (2020) · PubMed Central · doi:10.7507/1001-5515.202008076 · Cited by 6 · see citing works
Model-based error analysis of the oscillometric fixed-ratio blood pressure measurement method
Liu, J., Hahn, J., & Mukkamala, R. (2012) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2012.6346011 · Cited by 6 · see citing works
A model-based retrospective analysis of the fixed-ratio oscillometric blood pressure measurement
Raamat, R., Jagomägi, K., Talts, J., & Kivastik, J. (2013) · IEEE International Conference on Bioinformatics and Bioengineering (BIBE) · doi:10.1109/bibe.2013.6701577 · Cited by 7 · see citing works
Pressure Waves as a Noninvasive Tool for Artery Stiffness Estimation
El-Aklouk, E., Al‐Jumaily, A. M., & Lowe, A. (2008) · Journal of Medical Devices · doi:10.1115/1.2918739 · Cited by 6 · see citing works
Automating Blood Pressure Measurements: The Division of Labour and the Transformation of Method
Hartland, J. (1998) · Palgrave Macmillan UK eBooks · doi:10.1007/978-1-349-13693-3_14 · Cited by 6 · see citing works
Brachial artery waveforms for automatic blood pressure measurement.
Al-Jumaily, A., Lan, H., & Stergiopulos, N. (2013) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2012.10.021 · Cited by 7 · see citing works
Automated Blood Pressure Measurement: Reasons for Measurement Variability Uncovered
Zheng, D., Jn, A., Mieke, S., Smith, F., King, S., & Murray, A. (2009) · Computers in Cardiology Conference · doi:10.25405/ncl.34119144 · Cited by 6 · see citing works
Compensation of the Error Rate for the Non-invasive Sphygmomanometer System Using a Tactile Sensor
Jeong, I., Choi, Y.-N., & Yoon, H.-R. (2007) · Journal of Electrical Engineering and Technology · doi:10.5370/jeet.2007.2.1.136 · Cited by 6 · see citing works
“Therefore, it should be accompanied by a proper method to measure the condition of the artery wall in order to avoid errors in measurement [1].”
BackgroundMethodStudy on the Effect of Contacting Force on Pulse Transit Time
Teng, X. F., Poon, C. C. Y., Zhang, C., & Zhang, Y. (2006) · IEEE/EMBS International Summer School on Medical Devices and Biosensors (ISSS-MDBS) · doi:10.1109/issmd.2004.1689575 · Cited by 6 · see citing works
“P1T4 From the arterial pressure-volume relationship [12, 13], E 270O| r T T-l it is known that with the increase of contacting force, the E _ | --.”
BackgroundEstimation of the Blood Pressure using Arterial Pressure-Volume Model
Jung, J. H., Yoon, S.-H., Kim, J. H., Kim, I. C., Jeon, A. Y., Ye, S. Y., Kim, B. C., Shin, B. J., Ro, J. H., Nam, K. G., et al. (2007) · IEEE International Conference on Information Technology and Applications in Biomedicine · doi:10.1109/itab.2007.4407402 · Cited by 5 · see citing works
“However, blood flow dynamic property of the arterial blood vessels reveals the diversified types of characteristic due to the blood pressure change[10]-[12].”
BackgroundBlood flow and pressure in a brachial artery under cuff pressure
Kim, H. J., Lee, H. C., Kim, C. H., Kim, Y. J., & Jeon, G. R. (2005) · Annual Conference of the IEEE Industrial Electronics Society (IECON) · doi:10.1109/iecon.2004.1432284 · Cited by 5 · see citing works
“and Tumey [ 6 ] developed more complete model including”
BackgroundTechniques and Applications of Mathematical Modeling for Noninvasive Blood Pressure Estimation
Ursino, M., & Cristalli, C. (2000) · CRC Press eBooks · doi:10.1201/9781420049534.ch-07 · Cited by 5 · see citing works
Talts, J. (2004) · DSpace repository (University of Tartu) · Cited by 5 · see citing works
Meyer-Sabellek, W. A., Schulte, K.-L., Distler, A., & Gotzen, R. (1990) · Steinkopff eBooks · doi:10.1007/978-3-642-72423-7_15 · Cited by 5 · see citing works
Tarasov, A. P., Karpov, V. N., & Рогаткин, Д. А. (2025) · Fluids · doi:10.3390/fluids10120314 · Cited by 4 · see citing works
“In general, since the late 1980s, a number of physical models have been proposed to describe the dynamics of blood flow and pulse wave propagation in vessels during brachial artery compression by a BP monitor’s cuff [15–19].”
Changes of oscillogram envelope maximum with blood pressure and aging: a quantitative observation
Pan, F., He, P., Qian, Y., et al. (2022) · Physiological Measurement · doi:10.1088/1361-6579/aca26d · Cited by 4 · see citing works
Variation of radial pulse wave contour influenced by contact pressure
He, D., Zheng, L., Liu, J. P., Geng, N., De-jun, G., & Xu, L. (2014) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2014.6944905 · Cited by 3 · see citing works
Non-invasive determination of instantaneous brachial blood flow using the oscillometric method
Liu, S.-H., Wang, J.-J., & Cheng, D. (2009) · Biomedizinische Technik/Biomedical Engineering · doi:10.1515/bmt.2009.020 · Cited by 3 · see citing works
“Oscillometry has been extensively applied to non-invasively measure the systolic and diastolic blood pressures, mean arterial pressure and heart rate [7, 8].”
BackgroundMethodInfluentialPitfalls of Hemodynamic Monitoring in Patients with Trauma
McNeer, R. R., & Varon, A. J. (2012) · Anesthesiology Clinics · doi:10.1016/j.anclin.2012.11.005 · Cited by 3 · see citing works
Bogatu, L. I., Turco, S., Mischi, M., et al. (2022) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2022.3193980 · Cited by 2 · see citing works
Kusakabe, T. (2014) · Angiology Open Access · doi:10.4172/2329-9495.1000123 · Cited by 2 · see citing works
“On the other hand, several research studies of the pressurevolume relationship with transmural pressures (difference of internal and external pressure) for normal or sclerotic arteries have reported [9-11].”
BackgroundMethodology of Casual Blood Pressure Measurement
Filler, G., & Sharma, A. P. (2018) · Springer eBooks · doi:10.1007/978-3-319-31107-4_42 · Cited by 3 · see citing works
Chin, K. Y., & Panerai, R. B. (2014) · Journal of Medical Engineering & Technology · doi:10.3109/03091902.2014.979953 · Cited by 2 · see citing works
“Forster and Turney [22] Oscillometric 3 Brachial n/a 7.”
BackgroundMa, S., Wang, G., Li, L., et al. (2018) · Biomedizinische Technik/Biomedical Engineering · doi:10.1515/bmt-2017-0146 · Cited by 2 · see citing works
Sidhu, E., & Groza, V. F. (2018) · International Conference on Intelligent Systems · Cited by 2 · see citing works
Ratio-Independent Arterial Stiffness-Based Blood Pressure Estimation
Baktash, S. (2014) · uO Research (University of Ottawa) · doi:10.20381/ruor-5024 · Cited by 2 · see citing works
“Disadvantages of this method are sensitivity to the noise, movements, and necessity of observer training [3, 6, 7].”
BackgroundMethodInfluentialMethods for Non-invasive Trustworthy Estimation of Arterial Blood Pressure
Koohi, I. (2017) · uO Research (University of Ottawa) · doi:10.20381/ruor-20113 · Cited by 2 · see citing works
“20) is obtained from multiplying the oscillating component by a proportional factor [106].”
BackgroundSimulations of Cuff-Tissue-Bone-Artery Systems for Blood Pressure Measurements
Xu, J. X. J., & Hu, D. H. D. (2022) · East Asian Journal on Applied Mathematics · doi:10.4208/eajam.020322.050422 · Cited by 1 · see citing works
Estimation of Blood Pressure Measurements for Hypertension Diagnosis Using Oscillometric Method
Shin, Y.-S. (2011) · IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences · doi:10.1587/transfun.e94.a.806 · Cited by 1 · see citing works
Methodology of Casual Blood Pressure Measurement
Filler, G., & Sharma, A. P. (2017) · Springer eBooks · doi:10.1007/978-3-319-31420-4_42-1 · Cited by 1 · see citing works
a-STEP: Oscillometry-Augmented Auscultation Method for Improved Blood Pressure Measurement
Krishna, A. R., Kiran, V. R., Nabeel, P. M., & Joseph, J. (2024) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea60663.2024.10596731 · Cited by 1 · see citing works
“However, challenges arise from the requirement for predefined calibration coefficients [10], leading to potential inaccuracies due to variations among device models and populations.”
BackgroundJeon, A.-Y., Ro, J. H., Kim, J., et al. (2013) · Journal of Sensor Science and Technology · doi:10.5369/jsst.2013.22.1.38 · Cited by 1 · see citing works
Interference resistance in automated oscillometric sphygmomanometers
Lazarashvili, L. T. (1993) · Biomedical Engineering · doi:10.1007/bf00556824 · Cited by 1 · see citing works
Jeong, I. C., Choi, Y. N., Park, S. W., & Yoon, H. R. (2007) · Springer eBooks · doi:10.1007/978-3-540-36841-0_1046 · Cited by 1 · see citing works
New algorithm of cuff-tissue-artery system modeled as the space axisymmetric problemPreprint
Xu, J., & Hu, D. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2007.06322 · Cited by 1 · see citing works
“Some researchers [9, 10, 11] obtain systolic and diastolic pressure by characteristic ratios while errors may be much large.”
BackgroundAn investigation into the acoustic response of the arteries
El-Aklouk, E. (2007) · Tuwhera (Auckland University of Technology)
Meyer-Sabellek, W. A., Schulte, K.-L., Distler, A., & Gotzen, R. (1988) · Steinkopff eBooks · doi:10.1007/978-3-662-12055-2_7
New FEM 3D model for arm-cuff interface simulation
Vallascas, R., & Usai, M. (2015) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea.2015.7145245
“For 978-1-4799-6477-2/15/$31.00 ©2015 IEEE instance, Foster and Turney [8], Baker et al. [3], and Jeon et al. [10], based their model on the static pressurevolume relation.”
BackgroundInfluentialPERSONALIZED TRAITS MONITORING USING A NEURAL NETWORK BASED ON OSCILLOMETRIC MEASUREMENTS
Shin, Y.-S. (2013) · Biomedical Engineering Applications Basis and Communications · doi:10.4015/s101623721350021x
Zheng, D., & Murray, A. (2007) · Computers in cardiology · doi:10.1109/cic.2007.4745503
Treat‐Jacobson, D., Norgren, L., Pande, R. L., Preux, P., Gerry, F., Fowkes, R., Hiatt, W. R., Jönsson, B., Lacroix, P., Aboyans, V., et al. (2012)
KURIYAMA, M. (1994) · Nippon Eiseigaku Zasshi (Japanese Journal of Hygiene) · doi:10.1265/jjh.49.816
An investigation into ambulatory blood pressure measurement
Hai, L. (2012) · Tuwhera (Auckland University of Technology)
Jeong, I. C., Ko, J. I., Lee, D. H., et al. (2007) · Springer eBooks · doi:10.1007/978-3-540-36841-0_1045
Anesthesia/ Monitoring Devices
Kee, S. S. (2003) · Handbook series for mechanical engineering/Mechanical engineering handbook series · doi:10.1201/9780203491492.sec5
Abderahman, H. N. (2016) · uO Research (University of Ottawa) · doi:10.20381/ruor-272
“Typically, the Mean Arterial Pressure (MAP) is first detected as the cuff pressure that corresponds to the time index of the maximum amplitude from the generated envelope (Forster and Turney1986).”
BackgroundUsing the system identify theorem for constructing the dynamic compliance of the brachial artery
Liu, S.-H., Lin, C., Wen, Z., et al. (2005) · doi:10.1109/biocas.2004.1454163
Kitamoto, N., Hitosugi, T., Kawakubo, Y., et al. (2019) · Blood Pressure Monitoring · doi:10.1097/mbp.0000000000000408
How and How Often Should Blood Pressure Be Measured for Optimum Hypertension Control?
Eckert, S., Mannebach, H., Ohlmeier, H., et al. (1992) · Springer eBooks · doi:10.1007/978-3-662-02748-6_22
Validierung von Blutdruckselbstmeßgeräten: welche Blutdruckselbstmeßgeräte sollten verwandt werden?
Eckert, S., Gleichmann, S., & Gleichmann, U. (1994) · Steinkopff eBooks · doi:10.1007/978-3-642-85428-6_5
Design of a Device for the Acquisition and Processing of Arterial Pressure
Terceño-Carrillo, S., Jodra-Luque, J.-L., Sagastibeltza, N., et al. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-031-98890-5_25
- Authors
- Forster, F. K., & Turney, D.
- Affiliations
- University of Washington (US)
- Venue
- Journal of Biomechanical Engineering
- Publisher
- ASME International
- Published
- 1986-11-01
- Volume
- 108
- Issue
- 4
- Pages
- 359-364
- ISSN
- 0148-0731 (ISSN-L)
- 1528-8951
- OpenAlex
- W1985131701
- Cited by
- 104
- References
- 0
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 4 · 2022: 4 · 2021: 1 · 2020: 3 · 2019: 1 · 2018: 4 · 2017: 4 · 2016: 4 · 2015: 2 · 2014: 5 · 2013: 4 · 2012: 11
- FWCI
- 0.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Biomechanical Engineering (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Disease Prevention
- Health Sciences › Medicine › Surgery › Hemodynamic Monitoring and Therapy
- Keywords
- oscillometric blood pressure measurement, mean arterial pressure, systolic blood pressure, diastolic blood pressure, pulse pressure, arterial compliance, amplitude ratio
- MeSH terms
- Biomechanical Phenomena, Blood Pressure, Blood Pressure Determination, Diastole, Humans, Models, Cardiovascular, Models, Theoretical, Oscillometry, Systole
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
