A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals

12 November 2021

Papers citing "A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals"

5 / 5 papers shown

Title
Finetuning and Quantization of EEG-Based Foundational BioSignal Models on ECG and PPG Data for Blood Pressure Estimation Bálint Tóth Dominik Senti T. Ingolfsson Jeffrey Zweidler Alexandre Elsig Luca Benini Yawei Li 36 0 0 10 Feb 2025
"Can't Take the Pressure?": Examining the Challenges of Blood Pressure Estimation via Pulse Wave Analysis Suril Mehta Nipun Kwatra Mohit Jain Daniel J. McDuff OOD 30 4 0 23 Apr 2023
Regression or Classification? Reflection on BP prediction from PPG data using Deep Neural Networks in the scope of practical applications Fabian Schrumpf Paul Rudi Serdack M. Fuchs 14 10 0 12 Apr 2022
PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms using Fully Convolutional Neural Networks Nabil Ibtehaz Sakib Mahmud Muhammad E. H. Chowdhury Amith Khandakar Mohamed Arselene Ayari Anas Tahir Mohammad Sohel Rahman MedIm 18 75 0 04 May 2020
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation Daniel Stoller Sebastian Ewert S. Dixon AI4TS 104 588 0 08 Jun 2018