Photoplethysmogram analysis and applications: an integrative review
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 …
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 …
apnea may last for a few seconds and happen for many while sleeping. This reduction in …
Photoplethysmography signal processing and synthesis
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 …
PPG signal. The chapter starts by providing an overview of the PPG signal, covering its …
A wearable multisensor patch for breathing pattern recognition
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 …
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
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 …
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
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) …
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 …
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 …
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
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 …
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 …
and also used as a vital indicator or significant physiological parameter for early disease …