Relevant bibliographies by topics / Auscultatory blood pressure measurement

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Auscultatory blood pressure measurement'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Auscultatory blood pressure measurement"

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Sebald, D. J., D. E. Bahr, and A. R. Kahn. "Narrowband auscultatory blood pressure measurement." IEEE Transactions on Biomedical Engineering 49, no. 9 (September 2002): 1038–44. http://dx.doi.org/10.1109/tbme.2002.802056.

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Baker, Richard H., and Jack Ende. "Confounders of auscultatory blood pressure measurement." Journal of General Internal Medicine 10, no. 4 (April 1995): 223–31. http://dx.doi.org/10.1007/bf02600259.

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Oka, Erika Kaori, Liza Taveira Fleury Curado, Lucio Murilo Dos Santos, Mauro Santamaria, Michelle Bianchi Moraes, Rodrigo Dias Nascimento, and Fernando Vagner Haldi. "Comparative evaluation of blood pressure measuring equipment." Brazilian Dental Science 17, no. 4 (November 3, 2014): 48. http://dx.doi.org/10.14295/bds.2014.v17i4.1007.

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<p><strong>Objective</strong>: This study evaluated the agreement of blood pressure measurements obtained through different auscultatory and oscillometric automated/semi-automated monitors. <strong>Material</strong> <strong>and</strong> <strong>Methods</strong>: The blood pressure of 30 participants was evaluated by a single calibrated examiner. The measurements were carried out through either auscultatory monitor (mercury column or aneroid) or automated/semiautomated oscillometric pulse monitors. For each participant, 5 min rest was established by sitting on dental chair and the measurements were always carried out on the left arm, at the heart level. Three consecutive measurements were performed with the four monitors in each participant with a minimum time interval of five minutes between each measurement. All monitors were properly calibrated and certified by INMETRO. The results were submitted to intraclass correlation coefficient and Friedman’s analysis of variance. <strong>Results</strong>: The measurements of systolic blood pressure for both auscultatory and oscillometric methods were similar. The measurements of diastolic blood pressure for auscultatory monitors were similar (p &gt; 0.05); as well as for oscillometric monitors (p &gt; 0.05). However, when auscultatory and oscillometric monitors were compared, there were statistically significant differences in diastolic blood pressure (p &lt; 0.05). <strong>Conclusion</strong>: It was verified a difference in the results between the auscultatory and oscillometric blood pressure monitors. The systolic blood pressure measurements exhibited similar correlations, while<br />diastolic blood pressure measurements showed different correlations. </p>
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Mayer, Otto, Jitka Seidlerová, Markéta Mateřánková, Julius Gelžinský, Štěpán Mareš, Martina Rychecká, Veronika Svobodová, Jan Bruthans, and Jan Filipovský. "To what extent can the chosen blood pressure measurement technique affect the outcomes of an observational survey?" Journal of Comparative Effectiveness Research 8, no. 11 (August 2019): 841–52. http://dx.doi.org/10.2217/cer-2018-0149.

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Aim: We analyzed to what extent measurement protocol influenced individual blood pressure (BP) and achievement of treatment target in patients with coronary heart disease. Methods: In a subsample of Czech EUROASPIRE III–V survey participants (n = 913), we compared the per-protocol BP measurement (by automated oscillometric device OMRON at the beginning of survey procedure) with control auscultatory measurement (by physician during interview). Results: Per-protocol approach produced significantly (p < 0.0001) higher BP values (by 9/6 mmHg in median) than auscultatory measurements and led to markedly higher proportion of patients over target BP (less than 140/90 mmHg; 59.3 vs 34.9% [p < 0.0001], per-protocol vs auscultatory technique, respectively). Conclusion: Per-protocol oscillometric technique was not equivalent to conventional auscultatory measurement and seriously over-rated the real nonachievement of BP target in observational surveys.
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Rabbany, Sina Y., Gary M. Drzewiecki, and Abraham Noordergraaf. "Peripheral vascular effects on auscultatory blood pressure measurement." Journal of Clinical Monitoring 9, no. 1 (January 1993): 9–17. http://dx.doi.org/10.1007/bf01627631.

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Rutten, A. J., A. H. Ilsley, G. A. Skowronski, and W. B. Runciman. "A Comparative Study of the Measurement of Mean Arterial Blood Pressure Using Automatic Oscillometers, Arterial Cannulation and Auscultation." Anaesthesia and Intensive Care 14, no. 1 (February 1986): 58–65. http://dx.doi.org/10.1177/0310057x8601400113.

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Mean brachial artery pressures determined by five different non-invasive automatic oscillometric and one auscultatory preferred (oscillometric back-up) blood pressure (BP) monitors were compared with mean arterial pressures (MAP) obtained by cannulation of the radial artery of the same arm. The devices tested all performed similarly, showing a wide range of variation (+40% to −29%) compared with the directly measured MAP, and all tended to over-read at low values and under-read at high values. Trend information was generally acceptable, but occasionally was misleading. In addition, using one of the devices, systolic and diastolic blood pressure measurements were compared with those obtained by auscultation. This gives a range of differences from +22 to −25 mmHg for systolic and +20 to −12 mmHg for diastolic BP measurements. (The average fell within 1.0 mmHg of the auscultatory measurement, with a standard deviation of 10 mmHg.) Thus, the automatic oscillometric BP monitors tested were comparable in accuracy to auscultatory BP measurement, and are satisfactory for routine use in the appropriate clinical context. However, in settings where significance is to be attached to individual BP readings rather than to trends, or where a high degree of accuracy is required, automatic oscillometric machines cannot be regarded as satisfactory alternatives to arterial cannulation.
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Duncombe, Stephanie L., Christine Voss, and Kevin C. Harris. "Oscillometric and auscultatory blood pressure measurement methods in children." Journal of Hypertension 35, no. 2 (February 2017): 213–24. http://dx.doi.org/10.1097/hjh.0000000000001178.

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Green, Linda A., and Robin D. Froman. "Blood Pressure Measurement During Pregnancy: Auscultatory Versus Oscillatory Methods." Journal of Obstetric, Gynecologic & Neonatal Nursing 25, no. 2 (February 1996): 155–59. http://dx.doi.org/10.1111/j.1552-6909.1996.tb02419.x.

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Rosholm, Jens-Ulrik, Sidsel Arnspang, Lars Matzen, and Ib A. Jacobsen. "Auscultatory versus oscillometric measurement of blood pressure in octogenarians." Blood Pressure 21, no. 5 (May 2012): 269–72. http://dx.doi.org/10.3109/08037051.2012.680751.

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Jacobsen, I. A., J. U. Rosholm, S. Arnspang, and L. Matzen. "AUSCULTATORY VERSUS OSCILLOMETRIC MEASUREMENT OF BLOOD PRESSURE IN OCTOGENARIANS." Journal of Hypertension 29 (June 2011): e303. http://dx.doi.org/10.1097/00004872-201106001-00866.

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Dissertations / Theses on the topic "Auscultatory blood pressure measurement"

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Patzauer, Rebecka, and Elin Wessel. "Mätosäkerhet vid kalibrering av referensutrustning för blodtrycksmätning : En modell för framtagning av mätosäkerhet för referensmanometer WA 767." Thesis, KTH, Skolan för teknik och hälsa (STH), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191279.

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Avdelningen för Medicinsk teknik på Akademiska sjukhuset har uppdaterat befintliga kalibreringsprotokoll för Welch Allyn 767 som används som referensmanometer vid kalibrering av blodtrycksmätare. I protokollet ska det enligt ISO 9001 och ISO 13485 ingå att vid varje kalibreringspunkt ange mätosäkerheten.  Rutiner kring detta var inte definierade. En modell för att ta fram mätosäkerhet utformades utifrån standardiserade metoder från “Guide to the expression of uncertainty in measurement” och anpassades för att kunna användas på den medicintekniska avdelningen. En mätmetod för kalibrering togs fram och med modellen beräknades mätosäkerhet för en referensmanometer. Mätosäkerheten med definierad mätmetod blev lägre än den av Welch Allyn specificerade mätosäkerheten på ± 3 mmHg. Felfortplantning från kalibrering till blodtrycksmätning undersöktes. Mätosäkerheten ökade i varje steg, varför avdelningen bör ta fram ett protokoll för hur kalibrering genomförs, och på så sätt förbättra spårbarheten.
The department of Medical Technology at Akademiska sjukhuset has updated their current protocol for calibration for Welch Allyn 767, which serves as a reference manometer for blood pressure meters when being calibrated. According to ISO 9001 and ISO 13485, the protocol has to include a measurement uncertainty for every given point of calibration. The routines regarding this were undefined. A model for retrieving measurement uncertainty was designed using standardized methods from “Guide to the expression of uncertainty in measurement” and was customized to be used at the department of Medical Technology. A method for calibration was created and used to calculate the measurement uncertainty for the reference manometer. This measurement uncertainty was smaller than the one specified by Welch Allyn, which was ± 3 mmHg. Propagation of uncertainty from the calibration to the blood pressure measurement was investigated. The measurement uncertainty increased in every step. Therefore, the department should introduce a protocol for how a calibration is performed, and thereby improve the traceability.
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Soueidan, Karen. "Augmented blood pressure measurement through the estimation of physiological blood pressure variability." Thesis, University of Ottawa (Canada), 2010. http://hdl.handle.net/10393/28828.

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Current noninvasive blood pressure (BP) measurement methods estimate the systolic and diastolic blood pressure (SBP and DBP) at two random instants in time. The BP variability and its serious consequences on the measurement are not recognized by most physicians. The standard for automated BP devices sets a maximum allowable system error of +/- 5 mmHg, even though natural BP variability often exceeds these limits. This thesis characterizes the variability of SBP and DBP and proposes a new approach to augment the conventional noninvasive measurement using simultaneous recordings of the oscillometric and continuous arterial pulse waveforms by providing: 1) The mean SBP (or DBP) over the measurement interval, 2) Their respective standard deviations, and 3) An indicator as to whether or not the oscillometric reading is an outlier. Recordings with healthy subjects showed that the approach has prominent potential and does not suffer from bias relative to the conventional method.
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Ng, Kim-Gau. "Oscillometric blood pressure measurement and simulation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq20572.pdf.

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Lin, Han-Chun (Vivien). "Specialised non-invasive blood pressure measurement algorithm." AUT University, 2007. http://hdl.handle.net/10292/976.

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Blood pressure is one of the fundamental clinical measures. For more than 100 years, clinicians and researchers have used the mercury sphygmomanometer for blood pressure measurement. Environmental concern about mercury contamination has highlighted the need to find a replacement for traditional mercury sphygmomanometers. A number of currently used non-invasive blood pressure measurement methods have been studied in this research. The most commonly used automatic pressure monitoring method nowadays is the Oscillometric method. Height-based and Slope-based criteria are the two general means used to determine the systolic and diastolic pressures. However, these two criteria have many disputed points, making them debatable as a good standard for blood pressure measurement. For this reason, the auscultatory method continues to be the gold-standard for non-invasive blood pressure measurement. Current research uses a newly developed cuff with three different lengths of piezo film sensors and a pressure sensor to collect signals from the brachial artery. The objectives of the research are to process the measured signal from the sensors and develop a blood pressure measurement algorithm that will accurately determine the blood pressure noninvasively. Signal processing and heart beat / heart rate detection software have been developed. The best algorithm has been selected from three developed algorithms for further modification and validation. The final algorithm used two feed-forward Neural Networks to classify the acquired pressure signals into various regions of the pressure signals. The final algorithm has been tested on 258 measurements from 86 subjects. The testing result showed that the algorithm achieved grade A for both systolic and diastolic pressures according to the British Hypertension Society protocol. The mean differences (SD) between the observers and the developed algorithm were 1.44 (5.27) mmHg and 1.77 (6.17) mmHg for systolic and diastolic pressures, respectively, which also fulfilled the Association for the Advancement of Medical Instrumentation protocol. In conclusion, this algorithm was successfully developed and it is recommended for further clinical trial in a wider adult population. Further development of this algorithm also includes extending to other subgroups such as pregnant women, arrhythmia, diabetics and other subjects with diseases.
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Takahashi, Osamu. "Evaluation of lower limb blood pressure measurement." Kyoto University, 2006. http://hdl.handle.net/2433/143812.

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Jonnada, Srikanth. "Cuff-less Blood Pressure Measurement Using a Smart Phone." Thesis, University of North Texas, 2012. https://digital.library.unt.edu/ark:/67531/metadc115102/.

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Blood pressure is vital sign information that physicians often need as preliminary data for immediate intervention during emergency situations or for regular monitoring of people with cardiovascular diseases. Despite the availability of portable blood pressure meters in the market, they are not regularly carried by people, creating a need for an ultra-portable measurement platform or device that can be easily carried and used at all times. One such device is the smartphone which, according to comScore survey is used by 26.2% of the US adult population. the mass production of these phones with built-in sensors and high computation power has created numerous possibilities for application development in different domains including biomedical. Motivated by this capability and their extensive usage, this thesis focuses on developing a blood pressure measurement platform on smartphones. Specifically, I developed a blood pressure measurement system on a smart phone using the built-in camera and a customized external microphone. the system consists of first obtaining heart beats using the microphone and finger pulse with the camera, and finally calculating the blood pressure using the recorded data. I developed techniques for finding the best location for obtaining the data, making the system usable by all categories of people. the proposed system resulted in accuracies between 90-100%, when compared to traditional blood pressure meters. the second part of this thesis presents a new system for remote heart beat monitoring using the smart phone. with the proposed system, heart beats can be transferred live by patients and monitored by physicians remotely for diagnosis. the proposed blood pressure measurement and remote monitoring systems will be able to facilitate information acquisition and decision making by the 9-1-1 operators.
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Mueller, Jonathon. "The effect of differentiation technique utilized in continuous noninvasive blood pressure measurement." Akron, OH : University of Akron, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=akron1145295553.

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Thesis (M.S.)--University of Akron, Dept. of Biomedical Engineering, 2006.
"May, 2006." Title from electronic thesis title page (viewed 01/16/2008) Advisor, Dale Mugler; Co-Advisor, Bruce Taylor; Committee member, Daniel Sheffer; Department Chair, Daniel Sheffer; Dean of the College, George K. Haritos; Dean of the Graduate School, George R. Newkome. Includes bibliographical references.
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Shennan, Andrew Hoseason. "Ambulatory blood pressure measurement in pregnancy and pre-eclampsia." Thesis, Imperial College London, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286663.

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McGowan, Neil. "The utility of out of office blood pressure measurement." Thesis, University of Edinburgh, 2010. http://hdl.handle.net/1842/24943.

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Ambulatory blood pressure measurement (ABPM) has improved prognostic power with respect to cardiovascular disease compared with office blood pressure (BP). It can be postulated that this is secondary to improved reproducibility of measurement, as a result of ABPMs ability to remove most of the factors leading to within-subject variability of BP measurement. In addition, the number of BP readings obtained from ABPM results in a statistically more accurate reflection of mean BP compared with a single office BP measurement. Repeated episodes of ABPM, with time intervals of six months to greater than three years, were examined in a cohort of treatment naïve subjects. BP was more reproducible when expressed as a continuous variable, as defined by the intra-class correlation coefficient (ICC), than when BP was referred to as a dichotomous variable (hypertensive/normotensive), as defined with a kappa statistic. This was true independent of time interval between episodes of monitoring. Linear regression analysis or multivariate binomial regression indicated that nocturnal blood pressure dip, expressed as either a continuous or dichotomous variable, was unable to be predicted from age, sex, mean awake systolic BP. Nocturnal blood pressure dipping was poorly reproducible when expressed as a dichotomous variable (dipper/non-dipper), irrespective of the time interval between measurements (k=0.29). Intra class correlation coefficient demonstrated improved reproducibility of nocturnal pressure fall when this is expressed as a percentage reduction of mean awake BP (ICC=0.6). This was constant independent of time interval. ABPM was used to demonstrate a significant BP reduction in patients with diabetes and high vascular risk, managed through a pharmacist-led cardiovascular risk clinic. Repeat ABPM six months post discharge was not significantly different from BP on discharge from the clinic. ABPM data currently needs clinician interpretation. Four studies, using national and international experts in hypertension, indicated poor agreement in interpretation and diagnosis of hypertension when all were faced with identical ABPM data. Computer software can be used to standardise diagnosis but management decisions will always rest with clinicians. Self blood pressure monitoring has been proposed as the future of hypertension management. Mean BP obtained with self monitoring of BP (SBPM), using the schedule defined by the European Society of Hypertension, was not significantly different to mean awake-time BP on ABPM. In addition, SBPM was preferred by over 80% of subjects. The author suggests that using only office BP for measuring blood pressure is outdated and inaccurate. The aim of this thesis was to demonstrate the utility of out of office blood pressure measurement and recommends this becomes part of everyday clinical practice. It is time hypertension management was brought into the 21st century!
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He, Shan. "Time-interval based Blood Pressure Measurement Technique and System." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/38600.

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Smart watches in future will have smart wristband. This work analyses properties of new developed capacitive wristband sensor that measures ballistocardiogram (BCG) from single point on the wrist. In addition, it considers applications of this sensor to monitoring heart rate variability. Another application is in estimating changes (trend) in systolic blood pressure continuously when combined with lead one electrocardiogram (ECG). BP is one of the vital signs that indicates the health condition. It is commonly measured by cuff-based monitor using either auscultatory or oscillometric method. Cuff-based BP monitor is not portable and unable to measure BP continuously which means it is difficult to attach BP monitoring function on a wearable device. Significant research is conducted in estimating BP from pulse transit time (PTT) mathematically which would enable the cuffless BP measurement. In this work, a new time reference, RJ interval, which is the time delay between ECG and BCG signal peaks was tested whether it can be used as a surrogate of PTT in cuffless BP estimation. Based on the study done on 10 healthy people, it was shown that RJ intervals can be useful in evaluating trends of systolic blood pressure.
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Books on the topic "Auscultatory blood pressure measurement"

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Petrie, J. C. Blood pressure measurement. London: BMJ, 1990.

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Petrie, J. C. Blood pressure measurement. London: BMJ, 1990.

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Geddes, L. A. Handbook of blood pressure measurement. Clifton, N.J: Humana Press, 1991.

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Geddes, L. A. Handbook of Blood Pressure Measurement. Totowa, NJ: Humana Press, 1991. http://dx.doi.org/10.1007/978-1-4684-7170-0.

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Donald, Blaufox M., ed. Blood pressure measurement: An illustrated history. New York: Parthenon Pub. Group, 1998.

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Agency, Medical Devices. Blood pressure measurement devices: Mercury and non-mercury. London: Medical Deveices Agency, 2000.

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National Heart, Lung, and Blood Institute, ed. National High Blood Pressure Education Program (NHBPEP) Working Group report on ambulatory blood pressure monitoring. [Bethesda, Md.]: U.S. Dept. of Health and Human Services, National Institutes of Health, National Heart, Lung, and Blood Institute, 1990.

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de, Bruyne Bernard, ed. Coronary pressure. Dordrecht: Kluwer Academic Publishers, 1997.

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de, Bruyne Bernard, ed. Coronary pressure. 2nd ed. Dordrecht: Kluwer Academic Publishers, 2000.

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Cuiyun, Wu, ed. 108 tang gao xue ya jia ting jiang zuo: 108 halls hypertension family course. Taibei Xian Zhonghe Shi: Zhong jing she wen hua you xian gong si, 2006.

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Book chapters on the topic "Auscultatory blood pressure measurement"

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Anlauf, M., and F. Weber. "Automatic registration of Korotkoff sounds: clinical experiences with automatic blood pressure measurement devices as compared to the auscultatory method." In Blood Pressure Measurements, 35–40. Heidelberg: Steinkopff, 1990. http://dx.doi.org/10.1007/978-3-642-72423-7_6.

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Metoki, Hirohito. "Ambulatory Blood Pressure Measurement and Home Blood Pressure Measurement." In Preeclampsia, 199–208. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5891-2_12.

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Vrachatis, Dimitrios A., Theodore G. Papaioannou, and Athanasios D. Protogerou. "Central Blood Pressure Measurement." In Hypertension and Cardiovascular Disease, 49–58. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39599-9_5.

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Wagner, Stefan. "Blood Pressure Self-Measurement." In Advances in Experimental Medicine and Biology, 97–107. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/5584_2016_151.

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O’brien, Eoin. "Conventional blood pressure measurement." In Developments in Cardiovascular Medicine, 13–22. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-1647-0_2.

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O’brien, Eoin. "Automated blood pressure measurement." In Developments in Cardiovascular Medicine, 23–34. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-1647-0_3.

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Wideman, Timothy H., Michael J. L. Sullivan, Shuji Inada, David McIntyre, Masayoshi Kumagai, Naoya Yahagi, J. Rick Turner, et al. "Blood Pressure, Measurement of." In Encyclopedia of Behavioral Medicine, 240–41. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_444.

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Ginty, Annie T. "Blood Pressure, Measurement Of." In Encyclopedia of Behavioral Medicine, 1. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4614-6439-6_444-2.

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Ginty, Annie T. "Blood Pressure, Measurement of." In Encyclopedia of Behavioral Medicine, 276. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_444.

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Morgenstern, Bruce Z., and Lavjay Butani. "Casual Blood Pressure Measurement Methodology." In Pediatric Hypertension, 77–96. Totowa, NJ: Humana Press, 2004. http://dx.doi.org/10.1007/978-1-59259-797-0_4.

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Conference papers on the topic "Auscultatory blood pressure measurement"

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Wolff, M., U. Kordon, H. Hussein, M. Eichner, R. Hoffmann, and C. Tschope. "Auscultatory Blood Pressure Measurement using HMMs." In 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE, 2007. http://dx.doi.org/10.1109/icassp.2007.366702.

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Gersak, Gregor, Klemen Peterlin, and Janko Drnovsek. "Virtual auscultatory non-invasive blood pressure monitor." In 2011 IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE, 2011. http://dx.doi.org/10.1109/memea.2011.5966657.

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Daochai, S., W. Sroykham, Y. Kajornpredanon, and C. Apaiwongse. "Non-invasive blood pressure measurement: Auscultatory method versus oscillometric method." In 2011 Biomedical Engineering International Conference (BMEiCON) - Conference postponed to 2012. IEEE, 2012. http://dx.doi.org/10.1109/bmeicon.2012.6172056.

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Naufal, Dziban, Tati Latifah Erawati Rajab, and Agung Wahyu Setiawan. "Advancement on Automatic Blood Pressure Measurement Using Auscultatory Method: A Literature Review." In 2019 International Conference on Electrical Engineering and Informatics (ICEEI). IEEE, 2019. http://dx.doi.org/10.1109/iceei47359.2019.8988852.

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Lan, H., A. M. Al-Jumaily, W. Hing, and A. Lowe. "Biomechanical Basis of Oscillometric Blood Pressure Measuring Technique." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-11857.

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Non-invasive blood pressure (BP) measurement has been used clinically for over a century to diagnose hypertension. Compared with the auscultatory technique, the oscillometric technique requires less professional training and is widely used in automatic BP measurement devices. Currently, most of these devices measure and record amplitude of cuff pressure oscillation, and then calculate diastolic and systolic pressure using characteristic ratios and designed algorithms. A finite element (FE) model is developed to study the biomechanical basis of this technique. The model identifies that errors were caused by mechanical factors of the soft tissue and the shape of the arm. By personalizing the parameters for each patient, the accuracy of the measurement will be improved for all age groups.
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Naufal, Dziban, Azizah Syifalianti Noor, Muhammad Yusri Khalil, Tati Erawati Rajab, and Agung Wahyu Setiawan. "Automated Auscultatory Blood Pressure Measurements using Korotkoff Sounds Detection: A Preliminary Study." In 2019 6th International Conference on Instrumentation, Control, and Automation (ICA). IEEE, 2019. http://dx.doi.org/10.1109/ica.2019.8916727.

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Liu, Chengyu, Dingchang Zheng, Clive Griffiths, and Alan Murray. "Comparison of repeatability of blood pressure measurements between oscillometric and auscultatory methods." In 2015 Computing in Cardiology Conference (CinC). IEEE, 2015. http://dx.doi.org/10.1109/cic.2015.7411100.

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Yuqi, Wang, Xiang Haiyan, Li Yinhua, and Yu Mengsun. "Application of the visual auscultatory blood pressure measuring system." In Instruments (ICEMI). IEEE, 2009. http://dx.doi.org/10.1109/icemi.2009.5274314.

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Badran, Daniel, Paulo Abreu, and Maria Teresa Restivo. "Blood Pressure Measurement." In 2019 5th Experiment Conference (exp.at'19). IEEE, 2019. http://dx.doi.org/10.1109/expat.2019.8876538.

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Argha, Ahmadreza, and Branko G. Celler. "Blood Pressure Estimation Using Time Domain Features of Auscultatory Waveforms and Deep Learning." In 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2019. http://dx.doi.org/10.1109/embc.2019.8857464.

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Reports on the topic "Auscultatory blood pressure measurement"

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Bhattarai, Kusha. Investigation of blood pressure measurement using a hydraulic occlusive cuff. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.3131.

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echiam, Ostchega, Tatiana Nwankwo, Michele Chiappa, Jessica Graber, and Nguyen Duong T. Series 2–187: Comparing Blood Pressure Values Obtained by Two Different Protocols: National Health and Nutrition Examination Survey, 2017–2018. National Center for Health Statistics, April 2021. http://dx.doi.org/10.15620/cdc:104185.

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Treadwell, Jonathan R., James T. Reston, Benjamin Rouse, Joann Fontanarosa, Neha Patel, and Nikhil K. Mull. Automated-Entry Patient-Generated Health Data for Chronic Conditions: The Evidence on Health Outcomes. Agency for Healthcare Research and Quality (AHRQ), March 2021. http://dx.doi.org/10.23970/ahrqepctb38.

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Abstract:
Background. Automated-entry consumer devices that collect and transmit patient-generated health data (PGHD) are being evaluated as potential tools to aid in the management of chronic diseases. The need exists to evaluate the evidence regarding consumer PGHD technologies, particularly for devices that have not gone through Food and Drug Administration evaluation. Purpose. To summarize the research related to automated-entry consumer health technologies that provide PGHD for the prevention or management of 11 chronic diseases. Methods. The project scope was determined through discussions with Key Informants. We searched MEDLINE and EMBASE (via EMBASE.com), In-Process MEDLINE and PubMed unique content (via PubMed.gov), and the Cochrane Database of Systematic Reviews for systematic reviews or controlled trials. We also searched ClinicalTrials.gov for ongoing studies. We assessed risk of bias and extracted data on health outcomes, surrogate outcomes, usability, sustainability, cost-effectiveness outcomes (quantifying the tradeoffs between health effects and cost), process outcomes, and other characteristics related to PGHD technologies. For isolated effects on health outcomes, we classified the results in one of four categories: (1) likely no effect, (2) unclear, (3) possible positive effect, or (4) likely positive effect. When we categorized the data as “unclear” based solely on health outcomes, we then examined and classified surrogate outcomes for that particular clinical condition. Findings. We identified 114 unique studies that met inclusion criteria. The largest number of studies addressed patients with hypertension (51 studies) and obesity (43 studies). Eighty-four trials used a single PGHD device, 23 used 2 PGHD devices, and the other 7 used 3 or more PGHD devices. Pedometers, blood pressure (BP) monitors, and scales were commonly used in the same studies. Overall, we found a “possible positive effect” of PGHD interventions on health outcomes for coronary artery disease, heart failure, and asthma. For obesity, we rated the health outcomes as unclear, and the surrogate outcomes (body mass index/weight) as likely no effect. For hypertension, we rated the health outcomes as unclear, and the surrogate outcomes (systolic BP/diastolic BP) as possible positive effect. For cardiac arrhythmias or conduction abnormalities we rated the health outcomes as unclear and the surrogate outcome (time to arrhythmia detection) as likely positive effect. The findings were “unclear” regarding PGHD interventions for diabetes prevention, sleep apnea, stroke, Parkinson’s disease, and chronic obstructive pulmonary disease. Most studies did not report harms related to PGHD interventions; the relatively few harms reported were minor and transient, with event rates usually comparable to harms in the control groups. Few studies reported cost-effectiveness analyses, and only for PGHD interventions for hypertension, coronary artery disease, and chronic obstructive pulmonary disease; the findings were variable across different chronic conditions and devices. Patient adherence to PGHD interventions was highly variable across studies, but patient acceptance/satisfaction and usability was generally fair to good. However, device engineers independently evaluated consumer wearable and handheld BP monitors and considered the user experience to be poor, while their assessment of smartphone-based electrocardiogram monitors found the user experience to be good. Student volunteers involved in device usability testing of the Weight Watchers Online app found it well-designed and relatively easy to use. Implications. Multiple randomized controlled trials (RCTs) have evaluated some PGHD technologies (e.g., pedometers, scales, BP monitors), particularly for obesity and hypertension, but health outcomes were generally underreported. We found evidence suggesting a possible positive effect of PGHD interventions on health outcomes for four chronic conditions. Lack of reporting of health outcomes and insufficient statistical power to assess these outcomes were the main reasons for “unclear” ratings. The majority of studies on PGHD technologies still focus on non-health-related outcomes. Future RCTs should focus on measurement of health outcomes. Furthermore, future RCTs should be designed to isolate the effect of the PGHD intervention from other components in a multicomponent intervention.
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