Feasibility study for the non-invasive blood pressure estimation based on ppg morphology: normotensive subject study

Shin, Hyunki; Min, Se Dong

doi:10.1186/s12938-016-0302-y

Cited by 90 publications

(57 citation statements)

References 38 publications

(41 reference statements)

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“…Calibration is unnecessary before SBP estimation, and information other than PPG (height, weight, age, and sex) is unnecessary for estimating the SBP. In the BP estimation method of Shin et al [9], the correlation between the BP and the proposed index, which is a combination of the PPG features and the height of a subject, was analyzed. The correlation coefficient between the index proposed in Shin et al [9] and the SBP is 0.826, which is higher than the result of this study (0.78).…”

Section: Discussionmentioning

confidence: 99%

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PPG-Based Systolic Blood Pressure Estimation Method Using PLS and Level-Crossing Feature

Fujita

Suzuki

Ryu³

2019

Applied Sciences

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This paper proposes a cuff-less systolic blood pressure (SBP) estimation method using partial least-squares (PLS) regression. Level-crossing features (LCFs) were used in this method, which were extracted from the contour lines arbitrarily drawn on the second-derivative photoplethysmography waveform. Unlike conventional height ratio features (HRFs), which are extracted on the basis of the peaks in the waveform, LCFs can be reliably extracted even if there are missing peaks in the waveform. However, the features extracted from adjacent contour lines show similar trends; thus, there is a strong correlation between the features, which leads to multicollinearity when conventional multiple regression analysis (MRA) is used. Hence, we developed a multivariate estimation method based on PLS regression to address this issue and estimate the SBP on the basis of the LCFs. Two-hundred-and-sixty-five subjects (95 males and 170 females [(Mean ± Standard Deviation) SBP: 133.1 ± 18.4 mmHg; age: 62.8 ± 16.8 years] participated in the experiments. Of the total number of subjects, 180 were considered as learning data, while 85 were considered as testing data. The values of the correlation coefficient between the measured and estimated values were found to be 0.78 for the proposed method (LCFs + PLS), 0.58 for comparison method 1 (HRFs + MRA), and 0.62 for comparison method 2 (HRFs + MRA). The proposed method was therefore found to demonstrate the highest accuracy among the three methods being compared.

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Section: Discussionmentioning

confidence: 99%

“…The second is based on epidemiological studies of the presence or absence of several cardiovascular diseases including hypertension and the second-derivative PPG waveform [7]. Therefore, the BP can be estimated by extracting various features from the waveform [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

PPG-Based Systolic Blood Pressure Estimation Method Using PLS and Level-Crossing Feature

Fujita

Suzuki

Ryu³

2019

Applied Sciences

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“…Maximum rate of rise (MRR) and maximum rate of fall (MRF) were calculated over short 40ms windows incrementally along the waveform and the greatest value was reported. This method allowed estimation of the max rate of rise while filtering against noise, compared to evaluation of the max rate from the first derivative of the PPG wave [17].…”

Section: Methodsmentioning

confidence: 99%

Using Pulse Oximetry Waveforms to Detect Coarctation of the Aorta

Sorensen

Sadiq

Clifford

et al. 2020

Preprint

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Background Coarctation of the aorta is a common form of critical congenital heart disease that remains challenging to diagnose prior to clinical deterioration. Despite current screening methods infants with coarctation may present with life threatening cardiogenic shock requiring urgent hospitalization and intervention. We sought to improve critical congenital heart disease screening by using a novel pulse oximetry waveform analysis, specifically focused on detection of coarctation of the aorta. Methods and Results Over a 2-year period, we obtained pulse oximetry waveform data on 18 neonates with coarctation of the aorta and 18 age-matched controls hospitalized in the cardiac intensive care unit at Children’s Healthcare of Atlanta. Patients with coarctation were receiving Prostaglandin E1 and had a patent ductus arteriosus. By analyzing discrete features in the waveforms, we identified statistically significant differences in the maximum rate of fall between patients with and without coarctation. This was accentuated when comparing the difference between the upper and lower extremities, with the lower extremities having a shallow slope angle when a coarctation was present (p-value 0.001). Postoperatively, there were still differences in the maximum rate of fall between the repaired coarctation patients and controls; however, these differences normalized when compared with the same individual’s upper vs. lower extremities. Coarctation patients compared to themselves (preoperatively and postoperatively), demonstrated waveform differences between upper and lower extremities that were significantly reduced after successful surgery (p-value 0.028). This screening algorithm had an accuracy of detection of 72% with 0.61 sensitivity and 0.94 specificity. Conclusions We were able to identify specific features in pulse oximetry waveforms that were unique to patients with coarctation and further demonstrated that these changes normalized after surgical repair. Pulse oximetry screening for congenital heart disease in neonates may thus be improved by including waveform analysis, aiming to identify coarctation of the aorta prior to critical illness. Further large-scale testing is required to validate this screening model among patients in a newborn nursery setting who are low risk for having coarctation.

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“…Hypertension is one of the most significant risk factors for cardiovascular diseases [1]. The outcome of a BP measurement consists of three parameters, namely the diastolic blood pressure (DBP), systolic blood pressure (SBP), and mean arterial pressure (MAP), in millimeters of mercury (mmHg) [2][3][4]. There are two categories of methods for determining BP: invasive and noninvasive methods.…”

Section: Introductionmentioning

confidence: 99%

Noninvasive Blood Pressure Classification Based on Photoplethysmography Using K-Nearest Neighbors Algorithm: A Feasibility Study

Tjahjadi¹,

Ramli²

2020

Information

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Blood pressure (BP) is an important parameter for the early detection of heart disease because it is associated with symptoms of hypertension or hypotension. A single photoplethysmography (PPG) method for the classification of BP can automatically analyze BP symptoms. Users can immediately know the condition of their BP to ensure early detection. In recent years, deep learning methods have presented outstanding performance in classification applications. However, there are two main problems in deep learning classification methods: classification accuracy and time consumption during training. We attempt to address these limitations and propose a method for the classification of BP using the K-nearest neighbors (KNN) algorithm based on PPG. We collected data for 121 subjects from the PPG-BP figshare database. We divided the subjects into three classification levels, namely normotension, prehypertension, and hypertension, according to the BP levels of the Joint National Committee report. The F1 scores of these three classification trials were 100%, 100%, and 90.80%, respectively. Hence, it is validated that the proposed method can achieve improved classification accuracy without additional manual pre-processing of PPG. Our proposed method achieves higher accuracy than convolutional neural networks (deep learning), bagged tree, logistic regression, and AdaBoost tree.Information 2020, 11, 93 2 of 18 blood volume changes, which occur between the systolic and diastolic phases of the cardiac cycle. The essential frequency of the AC component depends on the heart rate and is covered onto the DC component [11]. An LED is a light source that can be used to illuminate blood vessels so minor perfusion changes can be supervised on the photodetectors [12]. Perfusion is measured as the degree at which blood is distributed to tissue [13].

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Feasibility study for the non-invasive blood pressure estimation based on ppg morphology: normotensive subject study

Cited by 90 publications

References 38 publications

PPG-Based Systolic Blood Pressure Estimation Method Using PLS and Level-Crossing Feature

PPG-Based Systolic Blood Pressure Estimation Method Using PLS and Level-Crossing Feature

Using Pulse Oximetry Waveforms to Detect Coarctation of the Aorta

Noninvasive Blood Pressure Classification Based on Photoplethysmography Using K-Nearest Neighbors Algorithm: A Feasibility Study

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