- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Highly accelerated stress method for measuring water vapor transmission rate of PV backsheet
摘要： The increasing availability of network data is leading to a growing interest in processing of signals on graphs. One notable tool for extending conventional signal-processing operations to networks is the graph Fourier transform that can be obtained as the eigendecomposition of the graph Laplacian. In this letter, we used the graph Fourier transform to define a new method for generating surrogate graph signals. The approach is based on sign-randomization of the graph Fourier coefficients and, therefore, the correlation structure of the surrogate graph signals (i.e., smoothness on the graph topology) is imposed by the measured data. The proposed method of surrogate data generation can be widely applied for nonparametric statistical hypothesis testing. Here, we showed a proof-of-concept with a high-density electroencephalography dataset.
关键词： nonparametric hypothesis testing,Electroencephalography (EEG),graph Laplacian,surrogate data,phase randomization,graph signals
更新于2025-09-23 15:21:01
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Coupled CP Decomposition of Simultaneous MEG-EEG Signals for Differentiating Oscillators During Photic Driving
摘要： Magnetoencephalography (MEG) and electroencephalography (EEG) are contemporary methods to investigate the function and organization of the brain. Simultaneously acquired MEG-EEG data are inherently multi-dimensional and exhibit coupling. This study uses a coupled tensor decomposition to extract the signal sources from MEG-EEG during intermittent photic stimulation (IPS). We employ the Coupled Semi-Algebraic framework for approximate CP decomposition via SImultaneous matrix diagonalization (C-SECSI). After comparing its performance with alternative methods using simulated benchmark data, we apply it to MEG-EEG recordings of 12 participants during IPS with fractions of the individual alpha frequency between 0.4 and 1.3. In the benchmark tests, C-SECSI is more accurate than SECSI and alternative methods, especially involving collinear factors or noise sources with in ill-conditioned scenarios, e.g., different variances. The component field-maps allow us to separate physiologically meaningful oscillations of visually evoked brain activity from background signals. The frequency signatures of the components identify either an entrainment to the respective stimulation frequency or its first harmonic, or an oscillation in the individual alpha band or theta band. In the group analysis of both, MEG and EEG data, we observe a reciprocal relationship between alpha and theta band oscillations. The coupled tensor decomposition using C-SECSI is a robust, powerful method for the extraction of physiologically meaningful sources from multidimensional biomedical data. Unsupervised signal source extraction is an essential solution for rendering advanced multi-modal signal acquisition technology accessible to clinical diagnostics, pre-surgical planning, and brain computer interface applications.
关键词： alpha band,magnetoencephalography,theta band,tensor,frequency entrainment,electroencephalography,simultaneous diagonalization,steady-state evoked response
更新于2025-09-23 15:19:57
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Increase the Quantum Dots Sensitized ${\rm{TiO_{2}}}$ Solar Cell Efficiency Adding n%Yb3+a??1%Er3+ Doped ${\rm{NaYF_{4}}}$: Submicrometer-Sized Rods
摘要： The increasing availability of network data is leading to a growing interest in processing of signals on graphs. One notable tool for extending conventional signal-processing operations to networks is the graph Fourier transform that can be obtained as the eigendecomposition of the graph Laplacian. In this letter, we used the graph Fourier transform to define a new method for generating surrogate graph signals. The approach is based on sign-randomization of the graph Fourier coefficients and, therefore, the correlation structure of the surrogate graph signals (i.e., smoothness on the graph topology) is imposed by the measured data. The proposed method of surrogate data generation can be widely applied for nonparametric statistical hypothesis testing. Here, we showed a proof-of-concept with a high-density electroencephalography dataset.
关键词： nonparametric hypothesis testing,surrogate data,Electroencephalography (EEG),graph Laplacian,graph signals,phase randomization
更新于2025-09-23 15:19:57
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[IEEE 2019 IEEE SENSORS - Montreal, QC, Canada (2019.10.27-2019.10.30)] 2019 IEEE SENSORS - Fast response hydrogel-based plasmonic sensor substrate for the detection of ethanol
摘要： Decades of heavy investment in laboratory-based brain imaging and neuroscience have led to foundational insights into how humans sense, perceive, and interact with the external world. However, it is argued that fundamental differences between laboratory-based and naturalistic human behavior may exist. Thus, it remains unclear how well the current knowledge of human brain function translates into the highly dynamic real world. While some demonstrated successes in real-world neurotechnologies are observed, particularly in the area of brain-computer interaction technologies, innovations and developments to date are limited to a small science and technology community. We posit that advancements in real-world neuroimaging tools for use by a broad-based workforce will dramatically enhance neurotechnology applications that have the potential to radically alter human–system interactions across all aspects of everyday life. We discuss the efforts of a joint government-academic-industry team to take an integrative, interdisciplinary, and multi-aspect approach to translate current technologies into devices that are truly ?eldable across a range of environments. Results from initial work, described here, show promise for dramatic advances in the ?eld that will rapidly enhance our ability to assess brain activity in real-world scenarios.
关键词： brain computer interfaces,data acquisition,biomarkers,translational research,brain computer interaction,monitoring,wearable sensors,body sensor networks,electroencephalography,Behavioral science
更新于2025-09-23 15:19:57
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[IEEE 2019 IEEE 8th International Conference on Advanced Optoelectronics and Lasers (CAOL) - Sozopol, Bulgaria (2019.9.6-2019.9.8)] 2019 IEEE 8th International Conference on Advanced Optoelectronics and Lasers (CAOL) - Silver Nanoparticles-based Hydrogel for Potential Antibacterial Applications
摘要： Many commercially available electroencephalography (EEG) sensors, including conventional wet and dry sensors, can cause skin irritation and user discomfort owing to the foreign material. The EEG products, especially sensors, highly prioritize the comfort level during devices wear. To overcome these drawbacks for EEG sensors, this paper designs Societe Generale de Surveillance S · A · (SGS)-certi?ed, silicon-based dry-contact EEG sensors (SBDSs) for EEG signal measurements. According to the SGS testing report, SBDSs extract does not irritate skin or induce noncytotoxic effects on L929 cells according to ISO10993-5. The SBDS is also lightweight, ?exible, and nonirritating to the skin, as well as capable of easily ?tting to scalps without any skin preparation or use of a conductive gel. For forehead and hairy sites, EEG signals can be measured reliably with the designed SBDSs. In particular, for EEG signal measurements at hairy sites, the acicular and ?exible design of SBDS can push the hair aside to achieve satisfactory scalp contact, as well as maintain low skin-electrode interface impedance. Results of this paper demonstrate that the proposed sensors perform well in the EEG measurements and are feasible for practical applications.
关键词： Societe Generale de Surveillance S · A · (SGS),brain-computer interface,silicon-based dry sensors,electroencephalography (EEG),Non-skin irritation
更新于2025-09-19 17:13:59
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[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Correlation of advanced accelerated stress testing with polyamide-based photovoltaic backsheet field-failures
摘要： Patients have been known to regain consciousness during surgery while still paralyzed by the anesthesia and unable to communicate their distress. Recently, electronic engineers have helped resolve this problem by improving the real-time monitoring of depth of anesthesia. Electronic measurements of the brain’s activity are used for many clinical and research purposes. This is possible because the brain uses electrochemical phenomena in order to process data. Many researchers have taken this to mean that advances in computer science will eventually result in sentient computers. Some con?ate arti?cial consciousness with arti?cial intelligence even though consciousness and intelligence are not positively correlated. Those not trained in neurology, or at least medicine, understandably fail to comprehend what the rich, complex word ‘‘consciousness’’ actually means as a term of art. Human consciousness can only be evaluated with surrogate markers and is a broad and complex spectrum that ranges from minimally conscious to waking consciousness (what the reader is experiencing right now). The necessary conditions for waking consciousness include a brain in just the right electrical, chemical, and thermal states with suf?cient blood pressure. These conditions, in turn, require the brain to have a body that is maintained in the right environment. Hence, waking consciousness is a proper subset of spectrum consciousness and cannot be considered an independent phenomenon capable of being disembodied or sliced off of the spectrum. The Theory of Mind (TOM) from developmental psychology infers that a brain similar to that of humans is a suf?cient condition for spectrum consciousness. But this theory is precluded for computers because a child would not recognize a computer as being a living organism that is just like the child. Although TOM could be applied to an ideal android, there is a classic mathematical theorem from systems science that makes such an android seem infeasible.
关键词： synthetic biology,electroencephalography,arti?cial intelligence,Anesthesia,theory of mind
更新于2025-09-16 10:30:52
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Asymmetric photic driving response: importance of reviewing the video
摘要： Intermittent photic stimulation (IPS) is commonly used during electroencephalography to detect abnormal epileptogenic sensitivity to flickering light. In practice, substantial variability is found depending on the practice of the laboratory. We report a patient who had inadvertent medical investigations due to inappropriate photic stimulation.
关键词： intermittent photic stimulation,video review,photic driving response,epilepsy,electroencephalography
更新于2025-09-10 09:29:36