Zobrazeno 1 - 10
of 8 801
pro vyhledávání: '"Electroencephalogram (EEG)"'
Publikováno v:
Brain Informatics, Vol 11, Iss 1, Pp 1-20 (2024)
Abstract Accurate monitoring of the depth of anesthesia (DoA) is essential for ensuring patient safety and effective anesthesia management. Existing methods, such as the Bispectral Index (BIS), are limited in real-time accuracy and robustness. Curren
Externí odkaz:
https://doaj.org/article/45a6e8a57f5342f4b8d7fe78da70e5e5
Autor:
Jose Cordoba-Silva, Rafael Maya, Mario Valderrama, Luis Felipe Giraldo, William Betancourt-Zapata, Andrés Salgado-Vasco, Juliana Marín-Sánchez, Viviana Gómez-Ortega, Mark Ettenberger
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Burn patients often face elevated pain, anxiety, and depression levels. Music therapy adds to integrative care in burn patients, but research including electrophysiological measures is limited. This study reports electrophysiological signals
Externí odkaz:
https://doaj.org/article/a373d9804274474f93187a277b2c447d
Publikováno v:
International Journal of Crowd Science, Vol 8, Iss 4, Pp 195-204 (2024)
Emotion recognition plays an important role in Human Computer Interaction (HCI) and the evaluation of human behavior based on emotional state is an important research topic. The purpose of emotion recognition is to automatically identify human’s em
Externí odkaz:
https://doaj.org/article/509a03ca1f4444f685a4b5893d3a5f5d
Autor:
Okkyung Lee, Heeran Lee
Publikováno v:
Fashion and Textiles, Vol 11, Iss 1, Pp 1-16 (2024)
Abstract Herein, we investigate the effects of 3D printed electrodes on electrophysiological signals and identify the important design elements required for manufacturing better electrodes for high body adhesion for smart wear. Ten electrodes of diff
Externí odkaz:
https://doaj.org/article/130319c33c1d4598b0e5d3c838786738
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract We present a new approach to classifying the sleep stage that incorporates a computationally inexpensive method based on permutations for channel selection and takes advantage of deep learning power, specifically the gated recurrent unit (GR
Externí odkaz:
https://doaj.org/article/0cd94a782d2443e3a19da1b2fde04ddb
Autor:
Muhammad Najam Dar, Muhammad Usman Akram, Ahmad Rauf Subhani, Sajid Gul Khawaja, Constantino Carlos Reyes-Aldasoro, Sarah Gul
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Affect recognition in a real-world, less constrained environment is the principal prerequisite of the industrial-level usefulness of this technology. Monitoring the psychological profile using smart, wearable electroencephalogram (EEG) senso
Externí odkaz:
https://doaj.org/article/5f9da2a6cd6a4db49615985ce9277e78
Autor:
Wenyi Xu, Alexa D. Monachino, Sarah A. McCormick, Emma T. Margolis, Ana Sobrino, Cara Bosco, Cassandra J. Franke, Lauren Davel, Michal R. Zieff, Kirsten A. Donald, Laurel J. Gabard-Durnam, Santiago Morales
Publikováno v:
Developmental Cognitive Neuroscience, Vol 70, Iss , Pp 101458- (2024)
EEG studies play a crucial role in enhancing our understanding of brain development across the lifespan. The increasing clinical and policy implications of EEG research underscore the importance of utilizing reliable EEG measures and increasing the r
Externí odkaz:
https://doaj.org/article/c95a96aff5ea46dc91686b0f23bdd6d4
Autor:
Jing Zhao, Qian Zhang, Xinrui Wang, Xueshuo Liu, Jiaxin Li, Fengjie Fan, Zhenhu Liang, Xiaoli Li
Publikováno v:
Brain-Apparatus Communication, Vol 3, Iss 1 (2024)
Compared with the commonly used synchronous brain-computer interface (BCI), the asynchronous BCI is a more flexible and natural way to control the real-world robotic devices. The major difficulty of building a robust asynchronous BCI lies in the disc
Externí odkaz:
https://doaj.org/article/67f43e94d1764aecaf151eafdfa6a70a
Publikováno v:
Data in Brief, Vol 57, Iss , Pp 110994- (2024)
Wearable EEG suffers from motion artifact contamination due to the subject's movement in an ambulatory environment. Signal processing techniques pose promising solutions for the detection and removal of motion artifacts from ambulatory EEG, but relev
Externí odkaz:
https://doaj.org/article/a28d1664e394433894adf032a758e6ab