Advances in respiratory monitoring: a comprehensive review of wearable and remote technologies

D Vitazkova, E Foltan, H Kosnacova, M Micjan… - Biosensors, 2024 - mdpi.com
This article explores the importance of wearable and remote technologies in healthcare. The
focus highlights its potential in continuous monitoring, examines the specificity of the issue …

Advancing PPG-based cf-PWV estimation with an integrated CNN-BiLSTM-Attention model

KP Abrisham, K Alipour, B Tarvirdizadeh… - Signal, Image and Video …, 2024 - Springer
Carotid-to-femoral pulse wave velocity (cf-PWV) is essential for assessing arterial stiffness
and managing cardiovascular diseases (CVDs). Traditional cf-PWV measurement methods …

Wavelet-Based Analysis of Photoplethysmogram for Stress Detection Using Convolutional Neural Networks

Y Hasanpoor, B Tarvirdizadeh… - 2023 11th RSI …, 2023 - ieeexplore.ieee.org
This paper introduces an innovative approach to recognizing stress and meditation
emotions, building upon prior research in the field. It focuses on Photoplethysmogram (PPG) …

Predicting Vascular Age using PPG Signals and Machine Learning Algorithms: A Non-Invasive Approach for Early Cardiovascular Risk Detection

KP Abrisham, K Alipour… - 2023 11th RSI …, 2023 - ieeexplore.ieee.org
Cardiovascular diseases (CVDs) pose a significant global health challenge, necessitating
effective strategies for early risk assessment and intervention. Arterial stiffness, a critical …

Real-Time Stress Detection via Photoplethysmogram Signals: Implementation of a Combined Continuous Wavelet Transform and Convolutional Neural Network on …

Y Hasanpoor, A Rostami… - 2024 32nd …, 2024 - ieeexplore.ieee.org
This paper introduces a robust stress detection system utilizing a Convolutional Neural
Network (CNN) designed for the analysis of Photoplethysmogram (PPG) signals. Employing …