Performance Analysis of Oscillometric Blood Pressure Estimation Techniques in Cardiac Patients

Sidhu, Ekambir; Yamaguchi, Masayoshi; Groza, Voicu; Dajani, Hilmi R.; Bolić, Miodrag

doi:10.1109/memea.2019.8802200

Cited by 5 publications

(4 citation statements)

References 11 publications

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“…31 and Eq. 32: We used the Bland-Altman plot statistical method [67] to compare the BP measured using Accurate24 and the aneroid sphygmomanometer. Fig.…”

Section: Resultsmentioning

confidence: 99%

Assessment of a Calibration-Free Method of Cuffless Blood Pressure Measurement: A Pilot Study

Guo¹,

Chang²,

Wang³

et al. 2023

IEEE J. Transl. Eng. Health Med.

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This study proposes a low-cost, high-sensitivity sensor of beat-to-beat local pulse wave velocity (PWV), to be used in a cuffless blood pressure monitor (BPM). Objective: We design an adaptive algorithm to detect the feature of the pulse wave, making it possible for two sensors to measure the local PWV in the radial artery at a short distance. Unlike the cuffless BPM that needs to use a regression model for calibration. Method: We encapsulate the piezoelectric sensor material in a cavity and design an analog front-end circuit. This study used color ultrasound imaging equipment to measure radial arterial parameters, including the diameter and wall thickness, to aid the estimation of blood pressure (BP) using the Moens-Korteweg (MK) equation of hemodynamics. Results: We compared the blood pressure estimated by the MK equation with the reference BP measured using an aneroid sphygmomanometer in a test group of 32 people, resulting in a mean difference of systolic BP of -0.63 mmHg, and a standard deviation of ±5.14 mmHg, a mean difference of mean arterial pressure (MAP) of 0.97 mmHg, with a standard deviation of ±3.54 mmHg, and a mean difference of diastolic BP of -1.14 mmHg, with a standard deviation of ±4.08 mmHg. This study has verified its compliance with ISO 81060-2. Conclusions: A new type of wearable continuous calibration-free BPM can replace the situation that requires the use of traditional ambulatory BPM and reduce patient discomfort. Clinical impact: In this study can provide long-term continuous blood pressure monitoring in the hospital.

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“…31 and Eq. 32: We used the Bland-Altman plot statistical method [67] to compare the BP measured using Accurate24 and the aneroid sphygmomanometer. Fig.…”

Section: Resultsmentioning

confidence: 99%

Assessment of a Calibration-Free Method of Cuffless Blood Pressure Measurement: A Pilot Study

Guo¹,

Chang²,

Wang³

et al. 2023

IEEE J. Transl. Eng. Health Med.

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“…Other aspects of validity and reliability of this noninvasive method could be considered as the effect of patient's clothing in terms of thickness, and it can be investigated. [ 16 ] Furthermore, for continuing this project with this device and this algorithm, analyzing the algorithm's performance among cardiac patients could be a good challenge because it is reported that among cardiac patients, in comparison to the invasive method, other algorithms indicate different and sometimes unreliable results. [ 17 ]…”

Section: Results and Validationmentioning

confidence: 99%

Implementation and Validation of a Novel Noninvasive blood Pressure Measurement Algorithm Based on Oscillometric Method with Obtaining International Hypertension Standards

Karimian

Yazdchi

Hajian

2022

Journal of Medical Signals &Amp; Sensors

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Background: One of the most prevalent methods in noninvasive blood pressure (BP) measurement with cuff is oscillometric, which has two different types of deflation, including linear and step deflation. With this approach, in addition to designing a novel algorithm by the step deflation method, a sample of its module was constructed and validated during clinical tests in different hospitals. Method: In this study, by controlling the valve, the pressure would be deflated through optimized steps. By real-time processing on the obtained signal from the pressure sensor, pulses in each step would be extracted. After that, in offline mode, mean arterial pressure is estimated based on curve fitting. Result: A BP simulator, various modules, and an auditory method were used to validate the algorithm and its results. During clinical tests, 80 people (men and women), 11 dialysis patients, and 69 non-dialysis (healthy or with other diseases) in the age range of 17–85 years participated. Conclusion: The obtained results compared with the BP simulator are in the standard range according to the international medical standards of the British Hypertension Society (BHS) and the US Association for the Advancement of Medical Instrumentation (AAMI), which are the global standard of comparison in this field.

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“…PPG has also shown limitations in regards to settling time in comparison to ECGs, and it has shown non-robustness in terms of body motion, occlusion of skin regions, and light interference [35], [44], [48]. With the advantages of both ECGs and PPG, they are considered accurate HR measurement techniques; however, various research work focused on incorporating advanced digital tools into health monitoring devices is necessary to improve the health system in terms of safety, accessibility, and efficiency by ensuring limited interaction of human in contact to devices [2], [8], [9], [22], [23], [28], [49].…”

Section: Primary Hr Assessment Through Contact Methodsmentioning

confidence: 99%

“…It is beneficial to break the video into several time intervals by segmenting across time with a 50% overlap across the segments. Since HR is known to minimally vary within a short interval of time [2], [9], [49], [90], [91], the time segments are chosen to be 20 sec. of length, and a 50% overlap provides a fair amount of video data to exist among different segments.…”

Section: Time Windowing Methodsmentioning

confidence: 99%

A Confidence Framework for Heart Rate Estimation in Video Magnification

Elhajjar

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Parts of this thesis were published in "Assessing Confidence in Video Magnification Heart Rate Measurement using Multiple ROIs" [1] and "A Confidence Framework through Temporal Averaging for Heart Rate Estimation in Video Magnification" [2]. The above-stated references were presented at and are in conference proceedings for conferences by the Institute of Electrical and Electronics Engineers (IEEE). IEEE allows the reuse of published articles in a thesis or dissertation without requesting permission (see Declaration message from IEEE below). The material used from the above conference proceedings [1]-[2] will be both referenced in the following chapters as © 2023 [1] for [1] and © 2023 [2] for [2]. I am the lead author on both conference proceedings stated above.

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Performance Analysis of Oscillometric Blood Pressure Estimation Techniques in Cardiac Patients

Cited by 5 publications

References 11 publications

Assessment of a Calibration-Free Method of Cuffless Blood Pressure Measurement: A Pilot Study

Assessment of a Calibration-Free Method of Cuffless Blood Pressure Measurement: A Pilot Study

Implementation and Validation of a Novel Noninvasive blood Pressure Measurement Algorithm Based on Oscillometric Method with Obtaining International Hypertension Standards

A Confidence Framework for Heart Rate Estimation in Video Magnification

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