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Published in 2019 at "Mobile Networks and Applications"
DOI: 10.1007/s11036-019-01323-6
Abstract: With the rise of wearable devices, which integrate myriad of health-care and fitness procedures into daily life, a reliable method for measuring various bio-signals in a daily setup is more desired than ever. Many of…
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Keywords:
artifacts ppg;
ppg signals;
motion artifacts;
removal motion ... See more keywords
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Published in 2019 at "Healthcare Technology Letters"
DOI: 10.1049/htl.2018.5019
Abstract: Estimation of respiratory rate (RR) from photoplethysmography (PPG) signals has important applications in the healthcare sector, from assisting doctors onwards to monitoring patients in their own homes. The problem is still very challenging, particularly during…
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Keywords:
respiratory rate;
motion;
ppg signals;
estimation respiratory ... See more keywords
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Published in 2023 at "SLEEP"
DOI: 10.1093/sleep/zsad077.0276
Abstract: A polysomnography or home sleep apnea study provides multiple pieces of information to diagnose obstructive sleep apnea (OSA), but the tests are costly with limited access. The study aims to use an automated AHI model…
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Keywords:
ppg signals;
sleep apnea;
obstructive sleep;
apnea ... See more keywords
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Published in 2020 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2020.2982540
Abstract: Heart rate (HR) estimated using the photoplethysmography (PPG) signals during intense physical exercise is highly onerous owing to the existence of noise components like motion artifacts (MA’s) in the PPG signal. In this work, a…
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Keywords:
noising technique;
heart rate;
ppg signals;
estimation ... See more keywords
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Published in 2018 at "BioMed Research International"
DOI: 10.1155/2018/4523593
Abstract: The photoplethysmography (PPG) is inevitably corrupted by many kinds of noise no matter whether its acquisition mode is transmittance or reflectance. To enhance the quality of PPG signals, many studies have made great progress in…
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Keywords:
noise;
ppg signals;
proposed method;
time ... See more keywords
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Published in 2023 at "Journal of Healthcare Engineering"
DOI: 10.1155/2023/4682760
Abstract: Heart rate (HR) estimation from multisensor PPG signals suffers from the dilemma of inconsistent computation results, due to the prevalence of bio-artifacts (BAs). Furthermore, advancements in edge computing have shown promising results from capturing and…
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Keywords:
ppg signals;
multisensor ppg;
estimation;
heart rate ... See more keywords
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Published in 2019 at "Studies in health technology and informatics"
DOI: 10.3233/978-1-61499-975-1-266
Abstract: PROBLEM Atrial Fibrillation (AF) is the most common sustained cardiac arrhythmia. It constitutes one of the leading cardiovascular health problems, affecting 33.5 million people of the world's population. AF detection is commonly made by an…
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Keywords:
atrial fibrillation;
systematic review;
ppg signals;
features extracted ... See more keywords
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Published in 2022 at "Frontiers in physiology"
DOI: 10.3389/fphys.2022.928098
Abstract: Objective: To develop a method for detection of bradycardia and ventricular tachycardia using the photoplethysmogram (PPG). Approach: The detector is based on a dual-branch convolutional neural network (CNN), whose input is the scalograms of the…
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Keywords:
ppg signals;
convolutional neural;
bradycardia tachycardia;
detection ... See more keywords
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Published in 2023 at "Frontiers in Physiology"
DOI: 10.3389/fphys.2023.1085871
Abstract: Background: Intracranial photoplethysmography (PPG) signals can be measured from extracranial sites using wearable sensors and may enable long-term non-invasive monitoring of intracranial pressure (ICP). However, it is still unknown if ICP changes can lead to…
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Keywords:
waveform;
ppg signals;
different cerebral;
perfusion territories ... See more keywords
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Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10134612
Abstract: As photoplethysmographic (PPG) signals are comprised of numerous pieces of important physiological information, they have been widely employed to measure many physiological parameters. However, only a high-quality PPG signal can provide a reliable physiological assessment.…
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Keywords:
quality;
convolution neural;
neural networks;
ppg signals ... See more keywords
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Published in 2023 at "Bioengineering"
DOI: 10.3390/bioengineering10060630
Abstract: Electrocardiograms (ECGs) provide crucial information for evaluating a patient’s cardiovascular health; however, they are not always easily accessible. Photoplethysmography (PPG), a technology commonly used in wearable devices such as smartwatches, has shown promise for constructing…
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Keywords:
time;
end end;
ppg signals;
ppg2ecgps end ... See more keywords