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A blood pressure monitoring method for stroke management.

Ma HT - Biomed Res Int (2014)

Bottom Line: Variation and variability of pulse transit time were introduced to construct the compensation algorithm in the model.By comparing the estimated value to the measurement from an oscillometry, the result showed that the mean error of the estimated blood pressure was -0.2 ± 2.4 mmHg and 0.5 ± 3.9 mmHg for systolic and diastolic blood pressure, respectively.In addition, the estimation performance of the proposed model is better than the linear model, especially for the diastolic blood pressure.

View Article: PubMed Central - PubMed

Affiliation: Department of Electronic and Information Engineering, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen 518055, China.

ABSTRACT
Blood pressure is one important risk factor for stroke prognosis. Therefore, continuous monitoring of blood pressure is crucial for preventing and predicting stroke. However, current blood pressure devices are mainly air-cuff based, which only can provide measurements intermittently. This study proposed a new blood pressure estimation method based on the pulse transit time to realize continuous monitoring. The proposed method integrated a linear model with a compensation algorithm. A calibration method was further developed to guarantee that the model was personalized for individuals. Variation and variability of pulse transit time were introduced to construct the compensation algorithm in the model. The proposed method was validated by the data collected from 30 healthy subjects, aged from 23 to 25 years old. By comparing the estimated value to the measurement from an oscillometry, the result showed that the mean error of the estimated blood pressure was -0.2 ± 2.4 mmHg and 0.5 ± 3.9 mmHg for systolic and diastolic blood pressure, respectively. In addition, the estimation performance of the proposed model is better than the linear model, especially for the diastolic blood pressure. The results indicate that the proposed method has promising potential to realize continuous blood pressure measurement.

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Related in: MedlinePlus

Pulse transit time is defined as the time interval between the R-peak of ECG and the peak of PPG within the same cardiac cycle.
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fig1: Pulse transit time is defined as the time interval between the R-peak of ECG and the peak of PPG within the same cardiac cycle.

Mentions: Ninety-three datasets were finally recorded for the 31 subjects and processed offline. The raw data were first filtered by a sliding window with window length of 10 milliseconds. The beat-to-beat PTT was defined as the time interval between the R-wave of ECG and the peak of the PPG pulse within the same cardiac cycle (see in Figure 1). The fluctuation of the recorded signals was checked, where the signal with large fluctuation was considered as invalid because it might indicate an unstable physiology conditions during the recording. By such criteria, one subject's data were removed. Finally, 90 datasets from 30 subjects were included in the blood pressure estimation analysis.


A blood pressure monitoring method for stroke management.

Ma HT - Biomed Res Int (2014)

Pulse transit time is defined as the time interval between the R-peak of ECG and the peak of PPG within the same cardiac cycle.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4150505&req=5

fig1: Pulse transit time is defined as the time interval between the R-peak of ECG and the peak of PPG within the same cardiac cycle.
Mentions: Ninety-three datasets were finally recorded for the 31 subjects and processed offline. The raw data were first filtered by a sliding window with window length of 10 milliseconds. The beat-to-beat PTT was defined as the time interval between the R-wave of ECG and the peak of the PPG pulse within the same cardiac cycle (see in Figure 1). The fluctuation of the recorded signals was checked, where the signal with large fluctuation was considered as invalid because it might indicate an unstable physiology conditions during the recording. By such criteria, one subject's data were removed. Finally, 90 datasets from 30 subjects were included in the blood pressure estimation analysis.

Bottom Line: Variation and variability of pulse transit time were introduced to construct the compensation algorithm in the model.By comparing the estimated value to the measurement from an oscillometry, the result showed that the mean error of the estimated blood pressure was -0.2 ± 2.4 mmHg and 0.5 ± 3.9 mmHg for systolic and diastolic blood pressure, respectively.In addition, the estimation performance of the proposed model is better than the linear model, especially for the diastolic blood pressure.

View Article: PubMed Central - PubMed

Affiliation: Department of Electronic and Information Engineering, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen 518055, China.

ABSTRACT
Blood pressure is one important risk factor for stroke prognosis. Therefore, continuous monitoring of blood pressure is crucial for preventing and predicting stroke. However, current blood pressure devices are mainly air-cuff based, which only can provide measurements intermittently. This study proposed a new blood pressure estimation method based on the pulse transit time to realize continuous monitoring. The proposed method integrated a linear model with a compensation algorithm. A calibration method was further developed to guarantee that the model was personalized for individuals. Variation and variability of pulse transit time were introduced to construct the compensation algorithm in the model. The proposed method was validated by the data collected from 30 healthy subjects, aged from 23 to 25 years old. By comparing the estimated value to the measurement from an oscillometry, the result showed that the mean error of the estimated blood pressure was -0.2 ± 2.4 mmHg and 0.5 ± 3.9 mmHg for systolic and diastolic blood pressure, respectively. In addition, the estimation performance of the proposed model is better than the linear model, especially for the diastolic blood pressure. The results indicate that the proposed method has promising potential to realize continuous blood pressure measurement.

Show MeSH
Related in: MedlinePlus