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Cuff-less Arterial Blood Pressure Waveform Synthesis from Single-site PPG using Transformer & Frequency-domain Learning
We propose two novel purpose-built deep learning (DL) models for synthesis of the arterial blood pressure (ABP) waveform in a cuff-less manner, using a single-site photoplethysmography (PPG) signal.
A low-cost PPG sensor-based empirical study on healthy aging based on changes in PPG morphology
For biological age prediction, the shallow FFNN again performs the best with a mean absolute error (MAE) of 1. 64.
Vascular Ageing and Smoking Habit Prediction via a Low-Cost Single-Lead ECG Module
For the binary classification problem that aims to differentiate between a smoker and a non-smoker, XGBoost method stands out with an accuracy of 96. 5%.
Your smartphone could act as a pulse-oximeter and as a single-lead ECG
The proposed methods include the following core steps: subject records a small video of his/her fingertip by placing his/her finger on the rear camera of the smartphone, and the recorded video is pre-processed to extract the filtered and/or detrended video-photoplethysmography (vPPG) signal, which is then fed to custom-built convolutional neural networks (CNN), which eventually spit-out the vitals (PR, SpO2, and RR) as well as a single-lead ECG of the subject.
Energy Disaggregation & Appliance Identification in a Smart Home: Transfer Learning enables Edge Computing
Non-intrusive load monitoring (NILM) or energy disaggregation aims to extract the load profiles of individual consumer electronic appliances, given an aggregate load profile of the mains of a smart home.
Throughput maximization of an IRS-assisted wireless powered network with interference: A deep unsupervised learning approach
We consider an intelligent reflecting surface (IRS)-assisted wireless powered communication network (WPCN) in which a multi antenna power beacon (PB) sends a dedicated energy signal to a wireless powered source.
Preventing Identity Attacks in RFID Backscatter Communication Systems: A Physical-Layer Approach
This work considers identity attack on a radio-frequency identification (RFID)-based backscatter communication system.
