# Continuous PPG-Based Blood Pressure Monitoring Using Multi-Linear Regression

arXiv: https://arxiv.org/abs/2011.02231 · HTML: https://mlsanity.com/paper/2011.02231/

## Key facts

- Cited by 10 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 4 Nov 2020.

## Built on by (most cited first, 10 of 10)

- [PaPaGei: Open Foundation Models for Optical Physiological Signals](https://mlsanity.com/paper/2410.20542/) (2024)
- [Assessment of deep learning based blood pressure prediction from PPG and rPPG signals](https://mlsanity.com/paper/2104.09313/) (2021)
- [Large Language Models for Cuffless Blood Pressure Measurement From Wearable Biosignals](https://mlsanity.com/paper/2406.18069/) (2024)
- [Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks](https://mlsanity.com/paper/2505.11412/) (2025)
- [Regression or Classification? Reflection on BP prediction from PPG data using Deep Neural Networks in the scope of practical applications](https://mlsanity.com/paper/2204.05605/) (2022)
- [Cuffless Blood Pressure Estimation from Six Wearable Sensor Modalities in Multi-Motion-State Scenarios](https://mlsanity.com/paper/2512.01653/) (2025)
- [Modality vs. Morphology: A Framework for Time Series Classification for Biological Signals](https://mlsanity.com/paper/2605.18483/) (2026)
- [Single-Beat Cuffless Blood Pressure Estimation Using Ear-PPG and ECG with a Lightweight Hybrid Learning Framework](https://mlsanity.com/paper/2607.27076/) (2026)
- [SIFPBPNet: A Dual-Path Network for Wearable and Cuffless Blood Pressure Estimation via Individualized Steady-state Representation](https://mlsanity.com/paper/2609.12690/) (2026)
- [HiPPT: Physiology-Grounded Wearable PPG Representation Learning via Multi-Scope Text Alignment](https://mlsanity.com/paper/2610.14489/) (2026)

## Abstract (arXiv)

In this work, we present the Senbiosys blood pressure monitoring algorithm (SB-BPM) that solely requires a photoplethysmography (PPG) signal. The technology is based on pulse wave analysis (PWA) of PPG signals retrieved from different body locations to continuously estimate the systolic blood pressure (SBP) and the diastolic blood pressure (DBP).