Lightweight Blood Pressure Estimation Algorithm

Citation Author(s):
Yongjian
Li
Submitted by:
Yongjian Li
Last updated:
Fri, 06/07/2024 - 09:26
DOI:
10.21227/xt2j-5t27
License:
Creative Commons Attribution
426 Views
Categories:
Artificial Intelligence
Continuous-time signal processing
Machine Learning
Biomedical and Health Sciences
Keywords:
Cuff-less blood pressure
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Abstract 

Subjects are categorized into three groups based on office blood pressure threshold: Normal (N), Prehypertension (P), and Stage 1 Hypertension (S). Each group contains 100 subjects, and all records have duration of at least 8 minutes. This study uses sliding window with length of 1 second and step size of 1 second to segment records. PPG, ECG and BP yield 167432 segments, respectively. MAP, DBP, and SBP are defined as average, minimum, and maximum of each BP segment, respectively. Max-Min normalization is applied to PPG and ECG segments. 

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