Results 271 to 280 of about 2,082,534 (353)

Classification of contralateral and ipsilateral finger movements for electrocorticographic brain-computer interfaces

, 2009
Reinhold Scherer, Stavros Zanos, Kai J. Miller, Rajesh P. N. Rao, Jeffrey G. Ojemann   +4 more
openalex   +1 more source

Neural signal analysis in chronic stroke: advancing intracortical brain-computer interface design. [PDF]

Front Hum Neurosci
Shawki N, Napoli A, Vargas-Irwin CE, Thompson CK, Donoghue JP, Serruya MD.   +5 more
europepmc   +1 more source

Intelligent Eye Tracker Integrated with Cylindrical Capacitive Sensors for Chronic Fatigue Assessment

Advanced Sensor Research, EarlyView.
A wearable capacitive eye tracker for chronic fatigue assessment is presented, utilizing cylindrically shaped capacitive sensors made of a carbon nanotube‐paper composite. By integrating a novel fatigue‐induction protocol with machine learning, the device achieves 0.75‐sensitivity and 0.73‐specificity, providing a practical alternative to existing ...
Tianyi Li, Seo‐Hyun Park, Changwoo Lee, Shawn Kim, Younghoon Kwon, Hojun Kim, Jae‐Hyun Chung   +6 more
wiley   +1 more source

Goal-Oriented Control with Brain-Computer Interface

, 2009
Günter Edlinger, Clemens Holzner, Christoph Groenegress, Christoph Guger, Mel Slater   +4 more
openalex   +1 more source

Efficacy of kinesthetic motor imagery based brain computer interface combined with tDCS on upper limb function in subacute stroke. [PDF]

Sci Rep
Ming Z, Yu W, Fan J, Ling G, Fengming C, Wei T.   +5 more
europepmc   +1 more source

Machine Learning Enhanced Multimodal Bioelectronics: Advancement Toward Intelligent Healthcare Systems

Advanced Sensor Research, EarlyView.
This review examines recent advancements in multimodal bioelectronics, emphasizing machine learning integration to enhance functionality. The application of machine learning methodologies improving biosignal processing, device adaptability, and diagnostic accuracy is discussed to introduce Machine Learning enhanced bioelectronics as a pathway toward ...
Myoungjae Oh, Enji Kim, Jakyoung Lee, Inhea Jeong, Eunmin Kim, Joonho Paek, Taekyeong Lee, Dayeon Kim, Seung Hyun An, Sumin Kim, Jung Ah Lim, Jang‐Ung Park   +11 more
wiley   +1 more source

Effect of natural and synthetic noise data augmentation on physical action classification by brain-computer interface and deep learning. [PDF]

Front Neuroinform
Gordienko Y, Gordienko N, Taran V, Rojbi A, Telenyk S, Stirenko S.   +5 more
europepmc   +1 more source

Emerging Therapeutic Strategies for Hearing Loss

Advanced Therapeutics, EarlyView.
Challenges still exist in treating hearing loss in cases of severe damage to hair cells or spiral ganglion neurons. Here, a schematic diagram of cochlear sensory hair cells and auditory nerves is presented. It is found that in normal Corti organs, hair cells have upright stereocilia at the top and auditory neurons at the base. Ototoxic drugs, noise, or
Shanying Han, Tian Shen, Weiwei He, Hao Wei, Xiaolong Zhao, Wen Yang, Chuan Bu, Xinghua Tang, Yu Zhao, Jiangang Fan   +9 more
wiley   +1 more source

Brain–Computer Interface Speaks Up

Engineering, 2022
Chris Palmer
doaj  

Thought-Controlled Computer Applications: A Brain-Computer Interface System for Severe Disability Support. [PDF]

Sensors (Basel)
Belwafi K, Ghaffari F.
europepmc   +1 more source