Photoplethysmogram analysis and applications: an integrative review

J Park, HS Seok, SS Kim, H Shin - Frontiers in Physiology, 2022 - frontiersin.org
Beyond its use in a clinical environment, photoplethysmogram (PPG) is increasingly used for
measuring the physiological state of an individual in daily life. This review aims to examine …

Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works

P Moridian, A Shoeibi, M Khodatars… - … : Data Mining and …, 2022 - Wiley Online Library
Apnea is a sleep disorder that stops or reduces airflow for a short time during sleep. Sleep
apnea may last for a few seconds and happen for many while sleeping. This reduction in …

Photoplethysmography signal processing and synthesis

E Mejia-Mejia, J Allen, K Budidha, C El-Hajj… - …, 2022 - Elsevier
This chapter presents the fundamental signal processing techniques used to analyze the
PPG signal. The chapter starts by providing an overview of the PPG signal, covering its …

A wearable multisensor patch for breathing pattern recognition

PS Das, HEU Ahmed, F Motaghedi… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
In this article, a multisensor patch is presented for the purpose of detecting and recognizing
the signals produced by human breathing in response to a variety of different body …

MS-Net: Sleep apnea detection in PPG using multi-scale block and shadow module one-dimensional convolutional neural network

K Wei, L Zou, G Liu, C Wang - Computers in Biology and Medicine, 2023 - Elsevier
Sleep Apnea (SA) is a respiratory disorder that affects sleep. However, the SA detection
method based on polysomnography is complex and not suitable for home use. The …

Respiratory rate estimation using u-net-based cascaded framework from electrocardiogram and seismocardiogram signals

M Chan, VG Ganti, OT Inan - IEEE journal of biomedical and …, 2022 - ieeexplore.ieee.org
Objective: At-home monitoring of respiration is of critical urgency especially in the era of the
global pandemic due to COVID-19. Electrocardiogram (ECG) and seismocardiogram (SCG) …

RRWaveNet: A Compact End-to-End Multiscale Residual CNN for Robust PPG Respiratory Rate Estimation

P Osathitporn, G Sawadwuthikul… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Respiratory rate (RR) is an important biomarker as RR changes can reflect severe medical
events, such as heart disease, lung disease, and sleep disorders. Unfortunately, standard …

A deep learning approach to estimate pulse rate by remote photoplethysmography

LC Lampier, CT Valadão, LA Silva… - Physiological …, 2022 - iopscience.iop.org
Objective. This study proposes a U-net shaped Deep Neural Network (DNN) model to
extract remote photoplethysmography (rPPG) signals from skin color signals to estimate …

[HTML][HTML] A meta-learning algorithm for respiratory flow prediction from FBG-based wearables in unrestrained conditions

M Filosa, L Massari, D Ferraro, G D'Alesio… - Artificial Intelligence in …, 2022 - Elsevier
The continuous monitoring of an individual's breathing can be an instrument for the
assessment and enhancement of human wellness. Specific respiratory features are unique …

Automated hilbert envelope based respiration rate measurement from PPG signal for wearable vital signs monitoring devices

GNK Reddy, MS Manikandan… - … Conference on Artificial …, 2022 - ieeexplore.ieee.org
Respiratory rate (RR) is one of the most vital signs to predict symptoms of serious illnesses
and also used as a vital indicator or significant physiological parameter for early disease …