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An artificial Neural-Network Approach for Motor Hotspot Identification Based on Electroencephalography: A Proof-of-Concept Study [article]

Ga-Young Choi, Chang-Hee Han, Hyung-Tak Lee, Nam-Jong Paik, Won-Seok Kim, Han-Jeong Hwang
2021 bioRxiv   pre-print
The objective of this study is to validate the feasibility of a novel electroencephalography (EEG)-based motor-hotspot-identification approach using a machine learning technique as a potential alternative  ...  approach based on a relatively small number of EEG channels.  ...  Despite the mentioned limitation, 268 it is thought that the results shown in this study could prove the proof-of-concept of the 269 proposed EEG-based motor-hotspot-identification method. 270 .  ... 
doi:10.1101/2021.05.09.443338 fatcat:ypbe6xfyw5cmragkvcr5urm7ky

Person Identification From Audio Aesthetic

Brandon Sieu, Marina Gavrilova
2021 IEEE Access  
As a psychological-based concept, some papers explore the properties of musical preference [12] while others investigate its effects on aspects of an individual ranging from personality to substance  ...  This leads to the motivation for this work, and the proposal of the content-based person identification system using audio aesthetics. III. METHODOLOGY A.  ... 
doi:10.1109/access.2021.3096776 fatcat:cem73q6mq5frzdflz7osg72j5m

Non-invasive Multi-modal Human Identification System Combining ECG, GSR, and Airflow Biosignals

Carmen Camara, Pedro Peris-Lopez, Juan E. Tapiador, Guillermo Suarez-Tangil
2015 Journal of Medical and Biological Engineering  
Finally, a proof-of-concept implementation of the system is demonstrated on a smartphone and its performance is evaluated in terms of processing speed and power consumption.  ...  It is thus feasible to use the proposed system on a regular smartphone for user identification.  ...  Acknowledgments This work was supported by MINECO grant TIN2013-46469-R (SPINY: Security and Privacy in the Internet of You) and CAM grant S2013/ICE-3095 (CIBERDINE: Cybersecurity, Data, and Risks).  ... 
doi:10.1007/s40846-015-0089-5 fatcat:u32hvepttfaitf3s6sxd26nn4q

Identification Management in Nigeria: Innovations for Financial Inclusion

Monye Ogochukwu
2021 Indiana International & Comparative Law Review  
About 41.6% of Nigerians have no access to formal financial services.  ...  on the unbanked, the practice of insisting on proof of address evidenced by utility bills also ignores the exhortation of the CBN that banks need to employ a risk-based approach in the interest of financial  ...  Financial providers therefore need to consider a shift from this practice.  ... 
doi:10.18060/25063 fatcat:yfx7wbqkava5bkvtvig5clgluu

Identification for Development: The Biometrics Revolution

Alan Gelb, Julia Clark
2013 Social Science Research Network  
Civil registration systems are often absent or cover only a fraction of the population. In contrast, people in rich countries are almost all well identified from birth.  ...  Many of these programs use digital biometric identification technology that distinguish physical or behavioral features, such as fingerprints or iris scans, to help "leapfrog" traditional paper-based identity  ...  A country's identification system normally consists of a series of databases (such as civil, voter and driver registries) along with any documents or tokens issued, such as ID cards or personal identification  ... 
doi:10.2139/ssrn.2226594 fatcat:tbcm7dn6hfgx3f47owsbz3vria

Biometric and Emotion Identification: An ECG Compression Based Method

Susana Brás, Jacqueline H. T. Ferreira, Sandra C. Soares, Armando J. Pinho
2018 Frontiers in Psychology  
Moreover, due to its relationship with the nervous system, it also varies as a function of the emotional state.  ...  The ECG represents the electrical signal that comes from the contraction of the heart muscles, indirectly representing the flow of blood inside the heart, it is known to convey a key that allows biometric  ...  Since the main goal of this paper is to give a proof of concept, i.e., to show that an ECG biometric and emotion identification method based on compression models can correctly identify the person and  ... 
doi:10.3389/fpsyg.2018.00467 pmid:29670564 pmcid:PMC5893853 fatcat:7jbbnrfwwrbh3azqohlgx3enaa

Identification of Suitable Biomarkers for Stress and Emotion Detection for Future Personal Affective Wearable Sensors

Abdulaziz Zamkah, Terence Hui, Simon Andrews, Nilanjan Dey, Fuqian Shi, R. Simon Sherratt
2020 Biosensors  
Alternatively, cortisol in biofluids and VOCs emitted from the skin appear to be practical and useful markers for sensors to detect emotional stress events.  ...  ., sweat) forms the basis of many physiology-based emotion and stress detection systems.  ...  Hui and Sherratt [7] used physiological sensor data to detect emotional events based on the concept of emotional context awareness.  ... 
doi:10.3390/bios10040040 pmid:32316280 fatcat:mo4zw4mvyvcetanhbva5adrygm

Nonlinear System Identification: A User-Oriented Roadmap [article]

Johan Schoukens, Lennart Ljung
2019 arXiv   pre-print
Firstly, nonlinear system identification is introduced to a wide audience, guiding practicing engineers and newcomers in the field to a sound solution of their data driven modeling problems for nonlinear  ...  Here the focus is on the basic philosophy, giving an intuitive understanding of the problems and the solutions, by making a guided tour along the wide range of user choices in nonlinear system identification  ...  Bode Lecture Prize from the IEEE Control Systems Society, and he was the 2007 recipient of the IEEE Control Systems Award.  ... 
arXiv:1902.00683v1 fatcat:r6jwxklmyjdsfged6zflewsxki

A cross-sectional study in healthy elderly subjects aimed at development of an algorithm to increase identification of Alzheimer pathology for the purpose of clinical trial participation

Samantha Prins, Ahnjili Zhuparris, Ellen P. Hart, Robert-Jan Doll, Geert Jan Groeneveld
2021 Alzheimer's Research & Therapy  
The results of the logistic regression classifier showed that predictive features for Aβ positivity/negativity in CSF consist of sex, 7 CNS tests, and 1 plasma-based assay.  ...  The model achieved a sensitivity of 70.82% (± 4.35) and a specificity of 89.25% (± 4.35) with respect to identifying abnormal CSF in healthy elderly subjects.  ...  Acknowledgements The authors thank Christel Havers, Kimberley Versteegen, Jacky Zuiddam, and Renate van Rijt for their contributions to the clinical execution of the study.  ... 
doi:10.1186/s13195-021-00874-9 pmid:34274005 pmcid:PMC8286577 fatcat:elxpqgja3zdkromuxaz3az6yse

Real-Time Two-Dimensional Asynchronous Control of a Remote-Controlled Car Using a Single Electroencephalographic Electrode

César Màrquez-Chin, Egor Sanin, Jorge Silva, Milos Popovic
2009 Topics in Spinal Cord Injury Rehabilitation  
A defining factor for this limited information transfer rate is a synchronous (cue-based) mode of operation, currently used by most BMI systems.  ...  We present a novel approach for using electroencephalographic signals from a single electroencephalographic (EEG) electrode to control asynchronously a remote controlled vehicle moving in two dimensions  ...  , and a virtual keyboard 14 . 3 We present here a proof of concept study were we use a single EEG electrode to perform asynchronous control of a miniature remote control vehicle moving in two dimensions  ... 
doi:10.1310/sci1404-62 fatcat:twlg37r3bzbkzpcsmksztwogpi

Gaze-directed ubiquitous interaction using a Brain-Computer Interface

Dieter Schmalstieg, Alexander Bornik, Gernot Müller-Putz, Gert Pfurtscheller
2010 Proceedings of the 1st Augmented Human International Conference on - AH '10  
n this paper, we present a first proof-of-concept for using a mobile Brain-Computer Interface (BCI) coupled to a wearable computer as an ambient input device for a ubiquitous computing service.  ...  BCI devices, such as electroencephalogram (EEG) based BCI, can be used as a novel form of human-computer interaction device. A user can log into a nearby computer terminal by looking at its screen.  ...  of a digitally authorized user at a particular task location, and has potential to be upgraded to a full biometric identification system with enhanced BCI technology.  ... 
doi:10.1145/1785455.1785459 dblp:conf/aughuman/SchmalstiegBMP10 fatcat:u2xuztpblrfmjbcjr6okp6xn2a

In-ear EEG biometrics for feasible and readily collectable real-world person authentication [article]

Takashi Nakamura, Valentin Goverdovsky, Danilo P. Mandic
2017 arXiv   pre-print
To this end, we propose a readily deployable EEG biometrics system based on a 'one-fits-all' viscoelastic generic in-ear EEG sensor (collectability), which does not require skilled assistance or cumbersome  ...  The use of EEG as a biometrics modality has been investigated for about a decade, however its feasibility in real-world applications is not yet conclusively established, mainly due to the issues with collectability  ...  Figure 2 shows the concept of a rigorous EEG biometrics verification/identification system in the real-world.  ... 
arXiv:1705.03742v2 fatcat:4k25wht55zgt3d54lhwubzbwwy

In-Ear EEG Biometrics for Feasible and Readily Collectable Real-World Person Authentication

Takashi Nakamura, Valentin Goverdovsky, Danilo P. Mandic
2018 IEEE Transactions on Information Forensics and Security  
To this end, we propose a readily deployable EEG biometrics system based on a "one-fits-all" viscoelastic generic in-ear EEG sensor (collectability), which does not require skilled assistance or cumbersome  ...  The use of electroencephalogram (EEG) as a biometrics modality has been investigated for about a decade; however, its feasibility in real-world applications is not yet conclusively established, mainly  ...  ACKNOWLEDGEMENT We wish to thank the anonymous reviewers for their insightful comments.  ... 
doi:10.1109/tifs.2017.2763124 fatcat:54yso5ywpnanxgl4luvssb262m

Deep Brain Stimulation Programming 2.0: Future Perspectives for Target Identification and Adaptive Closed Loop Stimulation

Franz Hell, Carla Palleis, Jan H. Mehrkens, Thomas Koeglsperger, Kai Bötzel
2019 Frontiers in Neurology  
Recent research in humans highlights the relevance of widespread networks connected to specific DBS targets.  ...  In addition, we provide a detailed synopsis of novel technologies that will support DBS programming and parameter selection in the future, with a particular focus on closed-loop stimulation and associated  ...  The VTA is a concept to model the spatial dimension of stimulation for a given set of stimulation parameters (12, 41–43).  ... 
doi:10.3389/fneur.2019.00314 pmid:31001196 pmcid:PMC6456744 fatcat:gr2azomkijaeviu2hay6f4slyy

Time-critical neurological emergencies: the unfulfilled role for point-of-care testing

Jason T. McMullan, William A. Knight, Joseph F. Clark, Fred R. Beyette, Arthur Pancioli
2010 International Journal of Emergency Medicine  
Methods Point-of-care (POC) testing brings advanced diagnostics to the patient's bedside in an effort to assist medical providers with real-time decisions based on real-time infor-mation.  ...  Results Unfortunately, the lack of these technologies may result in delayed identification of patients of these devastating conditions and contribute to less aggressive therapies than is seen with other  ...  The concept of an early goal directed therapy in sepsis has decreased mortality, in part due to improved recognition and identification of patients [38] .  ... 
doi:10.1007/s12245-010-0177-9 pmid:20606822 pmcid:PMC2885257 fatcat:y3nkil3lp5b3no7noj7h3zxrta
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