ArticleBiomedical engineering letters2023
Exploiting moving slope features of PPG derivatives for estimation of mean arterial pressure.
Article in Biomedical engineering letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Regional tissue perfusion index (RTPI): a new optical-based metric for quantifying regional tissue perfusion.Journal of clinical monitoring and computing · 2026Article
- A Derivative-Based Framework for Real-Time Signal Processing and Event Detection in Impedance Flow Cytometry.Sensors (Basel, Switzerland) · 2025Article
- Exploring supervised machine learning models to estimate blood pressure using non-fiducial features of the photoplethysmogram (PPG) and its derivatives.Physical and engineering sciences in medicine · 2025Article
- An Ensemble-Based AI Approach for Continuous Blood Pressure Estimation in Health Monitoring Applications.Sensors (Basel, Switzerland) · 2025Article
- A non-invasive heart rate prediction method using a convolutional approach.Medical & biological engineering & computing · 2025Article
- Machine Learning Applied to Reference Signal-Less Detection of Motion Artifacts in Photoplethysmographic Signals: A Review.Sensors (Basel, Switzerland) · 2024Review
- Automated assessment of mental workload from PPG sensor data using cross-wavelet coherence and transfer learning.Biomedical engineering letters · 2024Article
- CIsense: an automated framework for early screening of cerebral infarction using PPG sensor data.Biomedical engineering letters · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Monitoring Mean Arterial Pressure (MAP) helps calculate the arteries' flow, resistance, and pressure. It allows doctors to check how well the blood flows through our body and reaches all major organs. Photoplethysmogram technology is gaining momentum and popularity in smart wearable devices to monitor cuff-less blood pressure (BP). However, the performance reliability of the existing PPG-based BP estimation devices is still poor. Inaccuracy in estimating systolic and diastolic blood pressure leads to an overall imprecision in resultant MAP values. Hence, there is a need for robust and reliable MAP estimation algorithms. This work exploits the moving slope features of PPG contour in its first and second derivatives that directly correlate with MAP and does not require estimating systolic and diastolic blood pressure values. The proposed approach is evaluated using two different data sets (i.e., MIMIC-I and MIMIC-II) to demonstrate the robustness and reliability of the work for personalized non-invasive BP monitoring devices to estimate MAP directly. A mean absolute error of
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