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Quantitative analysis of pulse arrival time and PPG morphological features based cuffless blood pressure estimation:
Seongryul Park1, Seungjae Lee2, Eunkyoung Park3
1Department of Electronic Engineering, Hanyang University, Seoul, 04763 South Korea.
Insights
Diabetic disease significantly impacts cuffless blood pressure estimation using pulse arrival time (PAT) and PPG features. Different vascular characteristics necessitate tailored models for accurate blood pressure monitoring in diabetic patients.
Area of Science:
- Biomedical Engineering
- Cardiovascular Research
- Medical Informatics
Background:
- Cuffless blood pressure (BP) estimation using pulse arrival time (PAT) and photoplethysmography (PPG) morphological features is gaining interest.
- The influence of diseases like diabetes on these BP estimation methods is not well understood.
Purpose of the Study:
- To quantitatively analyze the effect of diabetes on BP estimation using PAT and PPG morphological features.
- To compare BP estimation performance between diabetic and non-diabetic individuals.
Main Methods:
- Utilized data from 112 diabetic patients and 308 non-diabetic subjects from VitalDB.
- Extracted 16 features including PAT, PPG morphological features, and heart rate.
- Employed linear regression models to compare BP estimation performance and feature importance between groups.
Main Results:
- PAT-based BP estimation showed significantly higher error (standard deviation and mean absolute error) in the diabetic group (p < 0.01).
- A combined feature set of PAT and PPG morphological features yielded the best BP estimation performance in both groups.
- The relative importance of features for BP estimation varied significantly between diabetic and non-diabetic subjects.
Conclusions:
- Diabetic disease alters vascular characteristics, impacting the accuracy of cuffless BP estimation.
- The optimal feature set for BP estimation differs based on individual vascular properties.
- Disease-specific models are crucial for accurate cuffless blood pressure monitoring in diverse patient populations.
Abstract:
Pulse arrival time (PAT) and PPG morphological features have attracted much interest in cuffless blood pressure (BP) estimation, but their effects are not clearly understood when vascular characteristics are affected by diseases such as diabetes. This work quantitatively analyzes the effect of diabetic disease on the PAT and PPG morphological features-based BP estimation. We selected 112 diabetic patients and 308 non-diabetic subjects from VitalDB, and extracted 16 features including PAT, PPG morphological features, and heart rate. BP estimation performance was statistically compared between groups using linear regression models with several feature sets, and the relative importance of each feature in the optimal feature set was extracted. As a result, the standard deviation of the error and mean absolute error of PAT-based BP estimation were significantly higher in the diabetic group than in the non-diabetic group (p < 0.01). A feature set containing PAT and PPG morphological features achieved the best performance in both groups. However, the relative importance of each feature for BP estimation differed notably between groups. The results indicate that different features are important depending on the vascular characteristics, which could help to construct different models to accommodate specific diseases.
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01:28Special considerations while measuring blood pressure
Monitoring Both Arms:
Monitoring BP in both arms during the initial assessment is advisable, as the systolic value may differ by five to ten mm Hg between arms. For subsequent BP assessments, use the arm with the higher reading.
01:11Assessing Blood pressure in the Leg
Preparation:
01:13Special considerations while measuring pulse