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Published on: December 15, 2023
[The lower limb blood pressure measurement of ankle-brachial index based on underdetermined blind signal]
1College of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China. liubaohua@ysu.edu.cn
Insights
Accurate lower limb systolic blood pressure measurement is crucial for diagnosing vascular disease. This study introduces a novel method using delay vectors and blind signal separation to improve ankle artery pulse wave analysis and enhance diagnostic accuracy.
Area of Science:
- Biomedical Engineering
- Cardiovascular Physiology
- Signal Processing
Context:
- Accurate measurement of lower limb systolic blood pressure is essential for diagnosing peripheral arterial disease.
- Traditional methods face challenges due to multiple ankle arteries and incomplete occlusion, leading to measurement errors.
- The ankle-brachial index (ABI) is a key diagnostic tool affected by these measurement inaccuracies.
Purpose:
- To develop a novel method for accurately identifying the starting point of the ankle artery pulse wave.
- To improve the accuracy of lower limb systolic blood pressure measurement.
- To enhance the reliability of the ankle-brachial index for vascular disease diagnosis.
Summary:
- This study constructs delay vectors from lower limb pulse wave data to form an embedding matrix, addressing inadequate sensor dimensions.
- Blind signal separation is applied to the embedding matrix to extract a single arterial pulse wave.
- The method accurately identifies the lower limb systolic blood pressure's starting point from the separated ankle artery pulse wave signal.
Impact:
- Improves the accuracy of lower limb systolic blood pressure measurement.
- Provides more reliable data for the clinical diagnosis of arterial diseases.
- Enhances the clinical utility of the ankle-brachial index in assessing vascular health.
Abstract:
As there are a number of ankle arteries and some of them can not be blocked completely under higher pressure from the external inflate cuff, we can not accurately identify the starting point of the pulse wave, so the errors of lower limb systolic blood pressure measurement take place and affect the accuracy of ankle-brachial index in diagnosing vascular disease. In this paper, we constructed delay vectors from the data we already collected from lower limb pulse wave and formed an embedding matrix; thus solving the problem of inadequate sensor dimensions. We extracted a single arterial pulse wave through the blind signal separation on the basis of embedding matrix, and we identified the lower limb systolic blood pressure corresponding to the starting point. Simulation and clinical experiments show the method can be used to separate the wave signals of ankle artery which contains information of systolic blood pressure. It improves the accuracy of lower limb systolic blood pressure measurement and hence provides accurate data for the clinical diagnosis of arterial disease.
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