Results 71 to 80 of about 2,649 (198)

Contactless Measurement of Pulse Transit Time Between Upper Extremities During Simulated Stenosis

Current Directions in Biomedical Engineering
This paper proposes a novel approach for the noninvasive assessment of different degrees of stenosis by remote photoplethysmography (rPPG) using an RGB camera.
Tauber Samuel, Haendler Jakob, Wiede Christian, Seidl Karsten   +3 more
doaj   +1 more source

Improved Remote Photoplethysmography Using Machine Learning-Based Filter Bank

Applied Sciences
Remote photoplethysmography (rPPG) is a non-contact technology that monitors heart activity by detecting subtle color changes within the facial blood vessels.
Jukyung Lee, Hyosung Joo, Jihwan Woo
doaj   +1 more source

Lexicon of Latin loanwords in Greek documentary texts from Egypt, with consideration of Coptic sources, Fascicle-2 (Beta-Delta) [PDF]

, 2003
Review of: I.-M. Cervenka-Ehrenstrasser, J. Diethart (edd.): Lexikon der lateinischen Lehnwörter in den griechischsprachigen dokumentarischen Texten Ägyptens, mit Berücksichtigung koptischer Quellen. Faszikel II (Beta–Delta).
Gonis, N
core  

Advancements in Bio‐Integrated Flexible Electronics for Hemodynamic Monitoring in Cardiovascular Healthcare

Advanced Science, Volume 12, Issue 25, July 3, 2025.
This review explores the cutting‐edge development of bio‐integrated flexible electronics for real‐time hemodynamic monitoring in cardiovascular healthcare. It covers key physiological indicators, innovative sensing mechanisms, and materials considerations. This paper highlights the application of both invasive and non‐invasive devices in cardiovascular
Ke Huang, Zhiqiang Ma, Bee Luan Khoo
wiley   +1 more source

Layer‐Wise Cue Alignment for Unified Face Attack Detection With Vision‐Language Model

IET Biometrics, Volume 2025, Issue 1, 2025.
Unified face attack detection (UAD), which simultaneously addresses physical presentation attacks (PAs) and digital forgery attacks (DAs) with a vision‐language model, remains challenging due to the difficulty of effectively separating live and fake cues.
Yongze Li, Jing Gu, Ning Li, Bo-Han Li, Xiaoyuan Yu, Zhiyao Liang, Bin Li, Zhen Lei, Liu Ajian   +8 more
wiley   +1 more source

Facial Emotion Recognition Method Based on Convolutional Neural Network

IET Computers &Digital Techniques, Volume 2025, Issue 1, 2025.
Facial emotion recognition has poor robustness and low recognition accuracy in complex lighting, posture changes, and occlusion scenes. This study aims to design a high‐performance convolutional neural network (CNN) model to improve the recognition accuracy and generalization ability of seven basic emotions in complex environments.
Mou Hongwei, Wang Xue, Huang Kai, Rahmat Widia Sembiring   +3 more
wiley   +1 more source

A Comprehensive Review of Deepfake Detection Techniques Utilizing Remote Photoplethysmography

IEEE Access
Deepfake technology enables the creation of highly realistic but fabricated videos, raising significant concerns about the authenticity and reliability of digital media.
Kavya Sree Kammari, Manju Khanna, Yasasree Lasya Annambhotla, Keerthi Devarajan Anuradha, Poosarla Naga Suryapadma Namrata, K. V. Nagaraja, T. V. Smitha, Tony Jan, Ganesh R. Naik   +8 more
doaj   +1 more source

rPPG-SysDiaGAN: Systolic-Diastolic Feature Localization in rPPG Using Generative Adversarial Network with Multi-domain Discriminator

Remote photoplethysmography (rPPG) offers a novel approach to noninvasive monitoring of vital signs, such as respiratory rate, utilizing a camera. Although several supervised and self-supervised methods have been proposed, they often fail to accurately reconstruct the PPG signal, particularly in distinguishing between systolic and diastolic components.
Banafsheh Adami, Nima Karimian
openaire   +2 more sources

Learning Discriminative Palmprint Anti‐Spoofing Features via High‐Frequency Spoofing Regions Adaptation

IET Image Processing, Volume 19, Issue 1, January/December 2025.
This paper proposes a palmprint image processing algorithm based on grey‐level co‐occurrence matrix and attention mechanism to extract deception patterns in fake images. Extensive experiments against several state‐of‐the‐art algorithms in closed‐set, open‐set and cross‐domain recognition settings validate the effectiveness of the proposed algorithm ...
Chengcheng Liu, Huikai Shao, Dexing Zhong   +2 more
wiley   +1 more source

Contactless Health Monitoring: An Overview of Video‐Based Techniques Utilising Machine/Deep Learning

IET Wireless Sensor Systems, Volume 15, Issue 1, January/December 2025.
This review article presents a comprehensive examination of contactless health monitoring techniques utilising machine learning (ML) and deep learning (DL) algorithms for the assessment of critical vital signs. ABSTRACT Vital signs are crucial indicators of an individual's physiological well‐being and represent one of the primary evaluations conducted ...
Alaa Hajr, Bahram Tarvirdizadeh, Khalil Alipour, Mohammad Ghamari   +3 more
wiley   +1 more source