Noninvasive cuffless blood pressure estimation using pulse transit time and Hilbert–Huang transform

Choi, Younhee; Zhang, Qiao; Ko, Seok‐Bum

doi:10.1016/j.compeleceng.2012.09.005

Cited by 111 publications

(76 citation statements)

References 23 publications

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“…The authors also reported that there was less correlation between DBP and PAT which could be due to the fact that PAT p , instead of PAT f , was used to estimate DBP. Choi et al used the same algorithm and investigated the use of different characteristic points of PPG (Figure 3b) and calibration intervals to achieve BP [25]. In their work, they concluded that PAT p measurements and one hour calibration intervals provided better estimates of BP within error limits.…”

Section: Proportional (Linear) Modelmentioning

confidence: 99%

“…Models under different conditions, generally exercising and medication, have been considered as summarized in Table 2. The same algorithm may result in different regression coefficients when using different BP perturbation techniques and calibration intervals, thus making comparisons difficult [25,84]. In order to give a better insight on this issue, in this work we elucidated four algorithms (6)- (8), and (10), using the Physionet online database as a source for the ECG, PPG and Arterial Blood Pressure (ABP).…”

Section: Comparison Between Modelsmentioning

confidence: 99%

“…The underlying principle of these devices is based on the relation of the time it takes for a volume of blood (in the form of a pulse) to travel from the heart to a peripheral organ, which could be in the form of pulse transit time (PTT) or pulse arrival time (PAT) [22][23][24]. Algorithms and mathematical models have been proposed and developed to optimize the regression process and calibration of the traveling/delay time ("Time Delay") and BP [25][26][27]. The "Time Delay" is usually obtained using a cardiac electrical signal, i.e., electrocardiogram (ECG), recording device and a pulse oximeter at a peripheral organ, i.e., photoplethysmography (PPG) [28,29].…”

Section: Introductionmentioning

confidence: 99%

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Cuff-Less and Continuous Blood Pressure Monitoring: A Methodological Review

et al. 2017

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Blood pressure (BP) is one of the most important monitoring parameters in clinical medicine. For years, the cuff-based sphygmomanometer and the arterial invasive line have been the gold standards for care professionals to assess BP. During the past few decades, the wide spread of the oscillometry-based BP arm or wrist cuffs have made home-based BP assessment more convenient and accessible. However, the discontinuous nature, the inability to interface with mobile applications, the relative inaccuracy with movement, and the need for calibration have rendered those BP oscillometry devices inadequate for next-generation healthcare infrastructure where integration and continuous data acquisition and communication are required. Recently, the indirect approach to obtain BP values has been intensively investigated, where BP is mathematically derived through the "Time Delay" in propagation of pressure waves in the vascular system. This holds promise for the realization of cuffless and continuous BP monitoring systems, for both patients and healthy populations in both inpatient and outpatient settings. This review highlights recent efforts in developing these next-generation blood pressure monitoring devices and compares various mathematical models. The unmet challenges and further developments that are crucial to develop "Time Delay"-based BP devices are also discussed.

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Section: Proportional (Linear) Modelmentioning

confidence: 99%

Section: Comparison Between Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Cuff-Less and Continuous Blood Pressure Monitoring: A Methodological Review

et al. 2017

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“…where f(PTT) could be PTT [39,[49][50][51][52][53][54][55][56][57] or its variants, such as 1/PTT [58,59], 1/PTT 2 [60,61], ln(PTT) [40,61], and e k*PTT [62] [63]. Rather than only PTT, extra parameters related to cardiovascular activity can be introduced:…”

Section: Ptt-bp Modelingmentioning

confidence: 99%

Continuous Blood Pressure Measurement From Invasive to Unobtrusive: Celebration of 200th Birth Anniversary of Carl Ludwig

Ding

Zhao

Yang

et al. 2016

IEEE J. Biomed. Health Inform.

147

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“…HHT is an empirical way of signal processing, and has been widely and successfully applied to signal extractions in health care issues, e.g. heart rate variability [27] and blood pressure measurement [28]. HHT was developed as a 2-stage approach.…”

Section: Ppg Signal Processingmentioning

confidence: 99%

A Tail-Worn Sensor-Equipped Heart Rate Measurement Apparatus for Ischemic Stroke Prevention

Chen¹,

Chang²

2018

Neuropsychiatry

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Objective:This paper presents a tail-worn sensor-equipped heart rate measurement apparatus to quantify the effect of exercise preconditioning on the physical disability of rats due to ischemic stroke. So far, physiological measurements in the literature are mostly conducted in an invasive manner, meaning that sensor implant surgery is a necessity, and result in the risk of infection and the problem of interrupted data capture. Nonetheless, most existing noninvasive physiological measurement apparatus are designed for animals at rest, not on the move. For this sake, this heart rate measurement apparatus was developed as an easy-touse, but high performance, non-invasive tool for long-term physiological monitoring on rats, particularly in the running state. Methods:The presented non-invasive measurement apparatus comprises a front-end PPG sensor array and a back-end digital signal processor. A PPG signal was chosen for back-end signal extraction, using an adaptive filer and Hilbert-Huang Transform (HHT). This work was experimentally validated by the heart rate variability due to the epinephrine administration to rats in the conscious and unconscious states, and a heart rate monitoring in the running state was performed at the end of this work. Results:Rats under test were equally divided into two groups for comparison purposes, one as the control group and the other as the exercise group, and each member in the latter needs to take a 3-week physical training program as a preconditioning. In weeks 1-3, the exercise (control) group members demonstrated an average pre-exercise heart rate of 358.31 (356.89), 328.21 (360.1) and 312.91 (361.68) BPM, respectively. The exercise group members clearly have a much slower preexercise average heart rate than the control group in weeks 2-3, indicating a negative correlation between the heart rate and the slide angle result of an inclined plane test. Conclusions:This paper presents a novel physiological measurement apparatus as a non-invasive alternative to a typical inclined plane test for quantifying the benefit of exercise preconditioning to ischemic stroke prevention. Featuring low physical confinement on animals and long-term monitoring, it was experimentally validated herein as an easy-to-use, but high performance, tool, and is expected to be employed in futuristic clinical research.

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Noninvasive cuffless blood pressure estimation using pulse transit time and Hilbert–Huang transform

Cited by 111 publications

References 23 publications

Cuff-Less and Continuous Blood Pressure Monitoring: A Methodological Review

Cuff-Less and Continuous Blood Pressure Monitoring: A Methodological Review

Continuous Blood Pressure Measurement From Invasive to Unobtrusive: Celebration of 200th Birth Anniversary of Carl Ludwig

A Tail-Worn Sensor-Equipped Heart Rate Measurement Apparatus for Ischemic Stroke Prevention

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