Results 111 to 120 of about 236,683 (245)

Optimizing Disease Prediction and Monitoring Through AI-Driven EEG Signal Analysis

Proceedings of the International Conference on Applied Innovations in IT
Artificial Intelligence (AI) has revolutionized healthcare and other sectors by finding new ways to solve problems and making a lot of tasks easier. The need for precise and timely disease prediction and monitoring, especially for neurological disorders ...
Saad Shaban, Saja Salim Mohammed, Riyadh Salam Mohammed, Hassan Hadi Saleh, Israa A. Mishkal, Adil Deniz Duru   +5 more
doaj   +1 more source

Preserving Motor Features by Alternative Re‐Referencing to Remove Heart Artifact on the Stentrode

Advanced Science, EarlyView.
Endovascular brain‐computer interfaces record neural activity from within cerebrovasculature, at the expense of electrocardiogram contamination. Band‐limited independent component analysis separates this heart‐based artifact from task‐relevant neural activity in each frequency band, enabling the reconstruction of cleaner neural recordings without the ...
Ariel K. Feldman, Kriti Kacker, Rahyun Yun, Nikole Chetty, James Bennett, Peter E. Yoo, Raul G. Nogueira, Jennifer L. Collinger, Nicholas L. Opie, Thomas J. Oxley, David F. Putrino, Douglas J. Weber   +11 more
wiley   +1 more source

Targeting the KCNC3‐Dependent Anterior Insular‐Lateral Orbitofrontal Cortex Glutamatergic Circuit Attenuates Post‐Traumatic Anxiety

Advanced Science, EarlyView.
Frontal lobe traumatic brain injury is associated with hyperactivity of an insular–orbitofrontal circuit in both patients and mice. By combination of integrating functional imaging, cell‐type–specific circuit manipulation, single‐cell transcriptomics, and whole‐cell recordings, this work identifies the downregulation of the potassium channel KCNC3 in ...
Meng‐Ge Li, Xiao‐Bo Qian, Hai‐Long Zhang, Di Li, Ling Ji, Xin‐Chun Xu, Jia‐Sheng Ding, Li‐Jun Yin, Li Zhang, Guang‐Yin Xu, Rong Gao   +10 more
wiley   +1 more source

Data‐Driven Design of Self‐Adhesive Epidermal Electrodes and Sensors

Advanced Science, EarlyView.
This work presents self‐adhesive, stretchable epidermal electrodes and sensors developed through a data‐driven design framework that integrates artificial neural networks with genetic algorithms. By tailoring optimization objectives, either maximizing electrical conductivity and adhesion or enhancing piezoresistive sensitivity, the study enables the ...
Xuan Li, Shilei Wang, Milad Razbin, Danish Tahir, Chen Sang, Shuhua Peng, Markus Müllner, Wenlong Cheng, Wei Chen, Chun Hui Wang, Shuying Wu   +10 more
wiley   +1 more source

Neuromorphic Devices and Computing for Sensing, Memory, and Control

Advanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu, Nicholas Schaffer, Xiao Yang   +2 more
wiley   +1 more source

Perceived Time Shapes Physical Fatigue Accumulation and Its Neural Oscillatory Correlates

Advanced Science, EarlyView.
Can a clock change the course of physical fatigue? By covertly manipulating the clock calibration during repeated isometric contractions, we showed that perceived time shapes fatigue accumulation and frontal oscillatory dynamics. While fatigue accumulation was only reduced when the clock was slowed down, frontal oscillatory dynamics followed perceived ...
Pierre‐Marie Matta, Julien Duclay, Robin Baurès, Andrea Alamia   +3 more
wiley   +1 more source

Encapsulated Leptin‐Producing Cells Facilitate Entrainment of Circadian Rhythms in Rodents and Nonhuman Primates

Advanced Science, EarlyView.
A clinically translatable cell line can be engineered to produce leptin, encapsulated in biomaterial and safely implanted to produce and deliver the metabolic regulating protein within the body. Implantation of these encapsulated cells decreases the time it takes for mice and non‐human primates to adjust to circadian disruptions similar to those ...
Samantha T. Fleury, Xuanyi Lin, Peter D. Rios, Christopher Olker, Eun Joo Song, Alejandra Cobos Perez, Cody Fell, Daisy Lopez, Ira Joshi, Hafsa Nasir, Cecelia Curtis, Danna Muringi, Kaiyuan Wang, José Oberholzer, Fred W. Turek, Isaac B. Hilton, Jonathan Rivnay, Martha Hotz Vitaterna, Omid Veiseh   +18 more
wiley   +1 more source

Translational Barriers and AI‐Driven Challenges of Microfluidics‐Enabled Wearables and Implantable Systems in Personalized Medicine

Advanced Science, EarlyView.
An integrative review of microfluidics‐enabled wearables and implantable systems reveals a single‐track translation pipeline, bridging functional biomaterials with clinical utility. Dynamic feedback loops driven by artificial intelligence advance diagnostics toward personalized closed‐loop theranostics.
Ke Huang, Ching Yin Fong, Xin Huang, Bee Luan Khoo   +3 more
wiley   +1 more source

Contribuição ao reconhecimento automático de padrões epileptiformes em sinais de eletroencefalograma utilizando análise morfológica [PDF]

, 2015
Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia Elétrica, Florianópolis, 2015.A análise do sinal de eletroencefalograma (EEG) pode ser uma importante ferramenta de auxílio à ...
Boos, Christine Fredel
core  

FREQ-EER: A Novel Frequency-Driven Ensemble Framework for Emotion Recognition and Classification of EEG Signals

Applied Sciences
Emotion recognition using electroencephalogram (EEG) signals has gained significant attention due to its potential applications in human–computer interaction (HCI), brain computer interfaces (BCIs), mental health monitoring, etc.
Dibya Thapa, Rebika Rai
doaj   +1 more source