A review of deep learning methods for photoplethysmography data

G Nie, J Zhu, G Tang, D Zhang, S Geng, Q Zhao… - arxiv preprint arxiv …, 2024 - arxiv.org
Photoplethysmography (PPG) is a highly promising device due to its advantages in
portability, user-friendly operation, and non-invasive capabilities to measure a wide range of …

Preterm birth risk stratification through longitudinal heart rate and HRV monitoring in daily life

M Feli, I Azimi, F Sarhaddi, Z Sharifi-Heris… - Scientific Reports, 2024 - nature.com
Preterm birth (PTB) remains a global health concern, impacting neonatal mortality and
lifelong health consequences. Traditional methods for estimating PTB rely on electronic …

Objective monitoring of loneliness levels using smart devices: A multi-device approach for mental health applications

S Jafarlou, I Azimi, J Lai, Y Wang, S Labbaf, B Nguyen… - Plos one, 2024 - journals.plos.org
Loneliness is linked to wide ranging physical and mental health problems, including
increased rates of mortality. Understanding how loneliness manifests is important for …

Signal completion using generative adversarial networks for enhanced photoplethysmography measurement accuracy

H Shin - Computers in Biology and Medicine, 2024 - Elsevier
Despite the growing adoption of wearable photoplethysmography (PPG) devices in personal
health management, their measurement accuracy remains limited due to susceptibility to …

End-to-end ppg processing pipeline for wearables: From quality assessment and motion artifacts removal to hr/hrv feature extraction

M Feli, K Kazemi, I Azimi, Y Wang… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
The rapid development of wearable technology has enabled remote photoplethysmography
(PPG)-based health monitoring in everyday settings, offering real-time and continuous …

Reconstruction of corrupted photoplethysmography signals using recursive generative adversarial networks

NMH Long, WY Chung - IEEE Transactions on Instrumentation …, 2023 - ieeexplore.ieee.org
This article explores how motion artifacts (MAs) affect photoplethysmography (PPG) signals
measured from the radial artery of the wrist through our wearable system called WrisTee. We …

Loneliness forecasting using multi-modal wearable and mobile sensing in everyday settings

Z Yang, I Azimi, S Jafarlou, S Labbaf… - 2023 IEEE 19th …, 2023 - ieeexplore.ieee.org
The adverse effects of loneliness on both physical and mental well-being are profound.
Although previous research has utilized mobile sensing techniques to detect mental health …

[PDF][PDF] Generative adversarial networks with fully connected layers to denoise PPG signals

IA Avila Castro, H Oliveira… - Physiological …, 2025 - iopscience.iop.org
Objective. The detection of arterial pulsating signals at the skin periphery with
Photoplethysmography (PPG) are easily distorted by motion artifacts. This work explores the …

An LLM-Powered Agent for Physiological Data Analysis: A Case Study on PPG-based Heart Rate Estimation

M Feli, I Azimi, P Liljeberg, AM Rahmani - arxiv preprint arxiv:2502.12836, 2025 - arxiv.org
Large language models (LLMs) are revolutionizing healthcare by improving diagnosis,
patient care, and decision support through interactive communication. More recently, they …

Bi-LSTM Based Interdependent Prediction of Physiological Signals

P Ghadekar, A Bongulwar, A Jadhav… - … on Emerging Smart …, 2023 - ieeexplore.ieee.org
Two of the most essential physiological signals obtained during patient care are the
photoplethysmogram (PPG) and electrocardiogram (ECG). Due to recent technological …