Results 51 to 60 of about 62,916 (267)
Novel Features for Brain-Computer Interfaces [PDF]
Computational Intelligence and Neuroscience, 2007 While conventional approaches of BCI feature extraction are based on the power spectrum, we have tried using nonlinear features for classifying BCI data. In this paper, we report our test results and findings, which indicate that the proposed method is a potentially useful addition to current feature extraction techniques.
Wei Lee Woon, Andrzej Cichocki
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IEEE Transactions on Neural Systems and Rehabilitation EngineeringBrain-computer interfaces (BCI) acquire electroencephalogram (EEG) signals to effectively address postoperative motor dysfunction in stroke patients by discerning their motor intentions during significant movements.
Sining Li +5 more
doaj +1 more source
Aquaporin‐4 in Narcolepsy Type 1: Investigation of Perivascular Fluid Movement in Sleep Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Narcolepsy type 1 (NT1) is caused by the loss of hypocretin‐1 leading to excessive daytime sleepiness and cataplexy. Additionally, disrupted nighttime sleep has become an increasingly recognized feature of NT1. As the glymphatic fluid movement has been linked to sleep architecture, we investigated cerebrospinal fluid (CSF) Aquaporin‐4 (AQP4 ...
Jonas Ranke +5 more
wiley +1 more source
Arthritis Care &Research, Accepted Article.Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed‐methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah +4 more
wiley +1 more source
Brain-computer interfaces for hci and games [PDF]
CHI '08 Extended Abstracts on Human Factors in Computing Systems, 2008 We study the research themes and the state-of-the-art of brain-computer interaction. Brain-computer interface research has seen much progress in the medical domain, for example for prosthesis control or as biofeedback therapy for the treatment of neurological disorders.
Nijholt, Antinus +5 more
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eLifeMice are among the most prevalent animal models used in neuroscience, benefiting from the extensive physiological, imaging, and genetic tools available to study their brain.
Bowen Yu +5 more
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COP-based Feature Extraction and Analysis of Plantar Pressure in Tai Chi Stake [PDF]
Zhengzhou Daxue xuebao. Gongxue banTo explore the inherent characteristics of Tai Chi Stake training and digitally interpret its movement essentials, an effective plantar pressure detection equipment was used to collect plantar pressure signals from participants, and the relative ...
WAN Hong, GU Zhiyuan, LI Mengmeng
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Frontiers in Bioengineering and Biotechnology, 2020 Brain-machine interfaces (BMIs) can improve the control of assistance mobility devices making its use more intuitive and natural. In the case of an exoskeleton, they can also help rehabilitation therapies due to the reinforcement of neuro-plasticity ...
Mario Ortiz +5 more
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Advanced Engineering Materials, EarlyView.A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Brain Research BulletinCurrently, most models rarely consider the negative transfer problem in the research field of cross-subject EEG emotion recognition. To solve this problem, this paper proposes a semi-supervised domain adaptive algorithm based on few labeled samples of ...
Rui Zhang +5 more
doaj +1 more source