Results 111 to 120 of about 781,500 (170)

Multiscale entropy algorithms and their applications in cardiac disease discrimination

, 2020
In recent years, the number of cardiac disease patients has been increasing. Modern medical research has shown that the complexity of electrocardiogram (ECG) signals is related to cardiovascular diseases.
Jin, Zhiyao, Zhu, Binru, Li, Yan, Wan, Xiangkui, Zhang, Mingru   +4 more
core   +1 more source

Entropy and Multifractal-Multiscale Indices of Heart Rate Time Series to Evaluate Intricate Cognitive-Autonomic Interactions

, 2021
International audienceRecent research has clarified the existence of a networked system involving a cortical and subcortical circuitry regulating both cognition and cardiac autonomic control, which is dynamically organized as a function of cognitive ...
Bouny, Pierre, Arsac, Laurent, Touré Cuq, Emma, Deschodt-Arsac, Veronique, Laurent M. Arsac, Emma Touré Cuq, Pierre Bouny, Veronique Deschodt-Arsac   +7 more
core   +1 more source

A Comprehensive Assessment of EEG Entropy Measures for Bipolar Disorder Diagnosis Using Machine Learning

IEEE Access
Bipolar disorder (BD) is a common psychiatric condition with varying severity, characterized by alternating episodes of mania or hypomania and depression, making accurate and timely diagnosis challenging.
Hamed Bagheri, Seyed Rabi Mahdavi, Nazila Eyvazzadeh, Ali Neshaseh-Riz, Masoumeh Sajadi Rad, Shahryar Sadeghi, Reza Gerami, Mohammadreza Azimi Aval   +7 more
doaj   +1 more source

A Multimodal Deep Learning Based Framework for Early and Accurate Diagnosis of Depression Using Electroencephalography and Event‐Related Potential Signals

Applied AI Letters, Volume 7, Issue 3, October 2026.
Cross Wavelet Transform (XWT) is combined with a pre‐trained AlexNet to extract rich time‐frequency features from non‐stationary EEG signals. Also, the proposed framework simultaneously extracts and integrates spatial (Node2vec), time‐frequency (XWT + AlexNet), and spectral (PSD + TSCN) features from EEG and ERP signals within a parallel architecture ...
Atefeh Abedzadeh Attar, Mohammad Hossein Moattar, Yahya Forghani   +2 more
wiley   +1 more source

Imaging of Facial Muscles in Facioscapulohumeral Muscular Dystrophy: An Exploratory Study Comparing Magnetic Resonance Imaging and Ultrasound

Muscle &Nerve, Volume 74, Issue 4, Page 1256-1262, October 2026.
ABSTRACT Aims Facioscapulohumeral muscular dystrophy (FSHD) is a genetic progressive muscle disorder often presenting with facial weakness. However, imaging studies specifically evaluating facial muscle involvement and its relationship with clinical severity remain limited. This preliminary study explored magnetic resonance imaging (MRI) and ultrasound
Federico Pistoia, Elena Faedo, Marta Macciò, Giovanni Marcenaro, Maria Elena Susi, Mehrnaz Hamedani, Veronica Caramellino, Sara Massucco, Andrea Francesco Maria Vollaro, Paola Mandich, Fabio Gotta, Riccardo Picasso, Federico Zaottini, Marina Grandis, Carlo Martinoli   +14 more
wiley   +1 more source

On the similarity relation within fuzzy ontology components [PDF]

, 2005
Ontology reuse is an important research issue. Ontology merging, integration, mapping, alignment and versioning are some of its subprocesses. A considerable research work has been conducted on them.
Bejaoui, Lotfi, Bahri, Afef, Chakhar, Salem   +2 more
core  

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, Volume 38, Issue 51, 11 September 2026.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Bearing Fault Diagnosis Based on Multiscale Permutation Entropy and Support Vector Machine

, 2012
Bearing fault diagnosis has attracted significant attention over the past few decades. It consists of two major parts: vibration signal feature extraction and condition classification for the extracted features.
Chun-Chieh Wang, Chiu-Wen Wu, Po-Hung Wu, Shuen-De Wu, Jian-Jiun Ding, Wu, Shuen-De;Wu, Po-Hung;Wu, Chiu-Wen;Ding, Jian-Jiun;Wang, Chun-Chieh   +5 more
core   +1 more source

Materials and Music: Selective Imperfection as a Generative Framework for Analysis, Creativity and Discovery

Interdisciplinary Materials, Volume 5, Issue 5, Page 834-867, September 2026.
Vibrations in matter, from spider webs to molecules, water to flames, share a grammar with music. We propose that creativity emerges when constraints force expansion beyond existing possibilities. Selective imperfection restores balance, enabling invention.
Markus J. Buehler
wiley   +1 more source

Exploring the relationship between the speed-resolved perfusion of blood flux and HRV following different thermal stimulations using MSE and MFE analyses.

PLoS ONE, 2019
Our previous study employed the classic laser Doppler flux (LDF) to explore the complexity of local blood flow signals and their relationship with heart rate variability (HRV).
Guangjun Wang, Shuyong Jia, Hongyan Li, Xiaojing Song, Weibo Zhang   +4 more
doaj   +1 more source