Results 11 to 20 of about 6,786 (191)

Photoplethysmogram Biometric Authentication Using a 1D Siamese Network

Sensors, 2023
In the head-mounted display environment for experiencing metaverse or virtual reality, conventional input devices cannot be used, so a new type of nonintrusive and continuous biometric authentication technology is required.
Chae Lin Seok, Young Do Song, Byeong Seon An, Eui Chul Lee   +3 more
doaj   +3 more sources

A Photoplethysmogram Dataset for Emotional Analysis

Applied Sciences, 2022
In recent years, research on emotion classification based on physiological signals has actively attracted scholars’ attention worldwide. Several studies and experiments have been conducted to analyze human emotions based on physiological signals ...
Ye-Ji Jin, Erkinov Habibilloh, Ye-Seul Jang, Taejun An, Donghyun Jo, Saron Park, Won-Du Chang   +6 more
doaj   +2 more sources

A Methodological Framework to Study Change in Team Cognition Under the Dynamical Hypothesis

Topics in Cognitive Science, EarlyView., 2023
Abstract The dynamical hypothesis claims that cognitive systems, such as teams, are dynamical systems (i.e., an interdependent collection of individuals and their technology that change together over time). Following this hypothesis, team researchers have adopted dynamical approaches to better understand the team cognitive processes and states that ...
Kyana van Eijndhoven, Travis J. Wiltshire, Elwira A. Hałgas, Josette M. P. Gevers   +3 more
wiley   +1 more source

Synthetic photoplethysmogram generation using two Gaussian functions [PDF]

Scientific Reports, 2020
AbstractEvaluating the performance of photoplethysmogram (PPG) event detection algorithms requires a large number of PPG signals with different noise levels and sampling frequencies. As publicly available PPG databases provide few options, artificially constructed PPG signals can also be used to facilitate this evaluation.
Tang, Qunfeng, Chen, Zhencheng, Ward, Rabab, Elgendi, Mohamed   +3 more
openaire   +2 more sources

End-To-End Deep Learning Architecture for Continuous Blood Pressure Estimation Using Attention Mechanism

Sensors, 2020
Blood pressure (BP) is a vital sign that provides fundamental health information regarding patients. Continuous BP monitoring is important for patients with hypertension.
Heesang Eom, Dongseok Lee, Seungwoo Han, Yuli Sun Hariyani, Yonggyu Lim, Illsoo Sohn, Kwangsuk Park, Cheolsoo Park   +7 more
doaj   +1 more source

Complementary Photoplethysmogram Synthesis From Electrocardiogram Using Generative Adversarial Network

IEEE Access, 2021
Photoplethysmogram (PPG) is one of the most widely measured biosignals alongside electrocardiogram (ECG). Due to the simplicity of measurement and the advent of wearable devices, there have been growing interest in using PPG for a variety of healthcare ...
Heean Shin, Sukkyu Sun, Joonnyong Lee, Hee Chan Kim   +3 more
doaj   +1 more source

COVID-19 Prediction With Machine Learning Technique From Extracted Features of Photoplethysmogram Morphology

Frontiers in Public Health, 2022
At present, COVID-19 is spreading widely around the world. It causes many health problems, namely, respiratory failure and acute respiratory distress syndrome. Wearable devices have gained popularity by allowing remote COVID-19 detection, contact tracing,
Nazrul Anuar Nayan, Nazrul Anuar Nayan, Choon Jie Yi, Mohd Zubir Suboh, Nur-Fadhilah Mazlan, Petrick Periyasamy, Muhammad Yusuf Zawir Abdul Rahim, Shamsul Azhar Shah   +7 more
doaj   +1 more source

A Review of Atrial Fibrillation Detection Methods as a Service [PDF]

, 2020
Atrial Fibrillation (AF) is a common heart arrhythmia that often goes undetected, and even if it is detected, managing the condition may be challenging. In this paper, we review how the RR interval and Electrocardiogram (ECG) signals, incorporated into a
Acharya, U. Rajendra, Ciaccio, Edward J., Faust, Oliver   +2 more
core   +1 more source

A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals

Sensors, 2022
Cardiovascular diseases are the most common causes of death around the world. To detect and treat heart-related diseases, continuous blood pressure (BP) monitoring along with many other parameters are required.
Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar, Anas M. Tahir, Tawsifur Rahman, Khandaker Reajul Islam, Md Shafayet Hossain, M. Sohel Rahman, Farayi Musharavati, Mohamed Arselene Ayari, Mohammad Tariqul Islam, Muhammad E. H. Chowdhury   +11 more
doaj   +1 more source

Stress Recognition Using Photoplethysmogram Signal [PDF]

Indonesian Journal of Electrical Engineering and Computer Science, 2017
<p> This study proposed a novel method of stress recognition using photopletysmogram (PPG) signal. PPG devices are now widely used because it is convenient, low powered, cheap and also easy to handle due to its small size. A total of 5 subjects were involved in this study. The PPG signals were taken in resting condition using pulse oximetry.
Noor Hafizah Azlin Abd Halim, Khairul Azami Sidek, Hasmah Mansor   +2 more
openaire   +1 more source