Filters








6 Hits in 8.9 sec

Combining SPECT and Quantitative EEG Analysis for the Automated Differential Diagnosis of Disorders with Amnestic Symptoms

Yvonne Höller, Arne C. Bathke, Andreas Uhl, Nicolas Strobl, Adelheid Lang, Jürgen Bergmann, Raffaele Nardone, Fabio Rossini, Harald Zauner, Margarita Kirschner, Amirhossein Jahanbekam, Eugen Trinka (+1 others)
2017 Frontiers in Aging Neuroscience  
We aimed to increase the diagnostic power by combining quantitative markers from SPECT and EEG for differential diagnosis of disorders with amnestic symptoms.  ...  Quantitative analysis of EEG connectivity could become an integral part for early differential diagnosis of cognitive impairment.  ...  ACKNOWLEDGMENTS We thank the memory clinic and the EEG-staff for their routine work in collecting the data, Andreas Westiner for help in organizing the data, and Gert Dehnen for helpful suggestions for  ... 
doi:10.3389/fnagi.2017.00290 pmid:28936173 pmcid:PMC5594223 fatcat:biimatqr7benvod3undj3wj4ea

Advances in Multimodal Emotion Recognition Based on Brain–Computer Interfaces

Zhipeng He, Zina Li, Fuzhou Yang, Lei Wang, Jingcong Li, Chengju Zhou, Jiahui Pan
2020 Brain Sciences  
For each type of aBCI, we further review several representative multimodal aBCI systems, including their design principles, paradigms, algorithms, experimental results and corresponding advantages.  ...  With the continuous development of portable noninvasive human sensor technologies such as brain–computer interfaces (BCI), multimodal emotion recognition has attracted increasing attention in the area  ...  output of the system for the i-th sample from j-th modality and y i,j ∈ [0, . . . , 1].  ... 
doi:10.3390/brainsci10100687 pmid:33003397 pmcid:PMC7600724 fatcat:juzx77asgrh2zpl3s2jvw6tdcq

Early Detection of Mental Stress Using Advanced Neuroimaging and Artificial Intelligence [article]

Fares Al-Shargie
2019 arXiv   pre-print
The CCA fuse information from two sets of features to discover the associations across modalities and to ultimately estimate the sources responsible for these associations.  ...  method (CCA) and predected the level of stress using machine-learning approach.  ...  New evidence furthermore suggests that it may also contribute to the cognitive deterioration of Alzheimer's disease.  ... 
arXiv:1903.08511v1 fatcat:kxf4uygomnd55brxmebdu6u7sm

DEEP ARCHITECTURES FOR SPATIO-TEMPORAL SEQUENCE RECOGNITION WITH APPLICATIONS IN AUTOMATIC SEIZURE DETECTION [article]

(:Unkn) Unknown, University, My, Joseph Picone
2021
Scalp electroencephalograms (EEGs) are used in a broad range of health care institutions to monitor and record electrical activity in the brain.  ...  Deep learning-based systems have generated significant improvements in performance for sequence recognitions tasks for temporal signals such as speech and for image analysis applications that can exploit  ...  The use of a novel differential energy feature improved performance for absolute features (system nos.  ... 
doi:10.34944/dspace/6883 fatcat:nkuyaal6wrfctlb7657lcrs2ue

Could Extracellular microRNAs act as a novel biomarkers of temporal lobe epilepsy?

Rana Raoof
2019
The identification of a reliable molecular biomarker for epilepsy will not only allow for a definitive diagnosis of seizures and epilepsy but as well help in the disease classification, individualize the  ...  Epilepsy diagnosis is always a challenging process. A detailed clinical history is the main tool used for diagnosis and classification; however, it is often incomplete and misleading.  ...  features (HS) of the disease.  ... 
doi:10.25419/rcsi.10803005.v1 fatcat:zhrugd4fxzd5pd2e5zegzc5hs4

Multimodal Wearable Sensors for Human-Machine Interfaces

Mark Nolan
2013
Certain areas of the body, such as the hands, eyes and organs of speech production, provide high-bandwidth information channels from the conscious mind to the outside world.  ...  The objective of this research was to develop an innovative wearable sensor device that records signals from these areas more conveniently than has previously been possible, so that they can be harnessed  ...  They could be a useful tool in the diagnosis of cardiovascular disease (e.g. based on blood flow information as measured by the temperature of the skin at various locations). 2.  ... 
doi:10.21427/d79903 fatcat:w6dc74fqhrfvrelytyzdsrydna