Banu Onaral

ORCID: 0000-0003-2610-1734
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About
Contact & Profiles
Research Areas
  • Optical Imaging and Spectroscopy Techniques
  • Non-Invasive Vital Sign Monitoring
  • EEG and Brain-Computer Interfaces
  • Neural Networks and Applications
  • Functional Brain Connectivity Studies
  • Hemodynamic Monitoring and Therapy
  • Heart Rate Variability and Autonomic Control
  • Neural and Behavioral Psychology Studies
  • Image and Signal Denoising Methods
  • Neuroscience and Neural Engineering
  • Human-Automation Interaction and Safety
  • Ultrasonics and Acoustic Wave Propagation
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Electrochemical Analysis and Applications
  • Blind Source Separation Techniques
  • Photoacoustic and Ultrasonic Imaging
  • Analytical Chemistry and Sensors
  • Chaos control and synchronization
  • Neural dynamics and brain function
  • Deception detection and forensic psychology
  • Nonlinear Dynamics and Pattern Formation
  • Neuroscience, Education and Cognitive Function
  • Spectroscopy and Chemometric Analyses
  • Control Systems and Identification
  • Biomedical and Engineering Education

Drexel University
2011-2020

State Street (United States)
2018

Chestnut Health Systems
2011

Information Technology Laboratory
2006

Saint Peter's University Hospital
2005

University of Pennsylvania
1979-1990

Ospedale Santa Maria
1990

Group Image (Poland)
1990

Centre for Advanced Process Technology for Urban Resource Recovery
1990

International Society for Optics and Photonics
1990

A fractional slope on the log Bode plot has been observed in characterizing a certain type of physical phenomenon and called fractal system or power pole. In order to represent study its dynamical behavior, singularity function method is presented which consists cascaded branches number pole-zero (negative real) pairs simple RC section. The distribution spectrum can also be easily calculated, accuracy depends prescribed error specified beginning. then extended multiple-fractal poles. result...

10.1109/9.159595 article EN IEEE Transactions on Automatic Control 1992-01-01

Two methods for the linear approximation of a transfer function with pole fractional power are presented. Analog circuit models developed, and their frequency response curves step compared. It was found that Padé method gives better than Wang Hsia's within limit as specified.

10.1109/tac.1984.1103551 article EN IEEE Transactions on Automatic Control 1984-05-01

Background.Evidence suggests that gait is influenced by higher order cognitive and cortical control mechanisms. However, less known about the functional correlates of gait.

10.1093/gerona/glr068 article EN The Journals of Gerontology Series A 2011-05-17

Abstract The present study investigates brain-to-brain coupling, defined as inter-subject correlations in the hemodynamic response, during natural verbal communication. We used functional near-infrared spectroscopy (fNIRS) to record brain activity of 3 speakers telling stories and 15 listeners comprehending audio recordings these stories. Listeners’ was significantly correlated with speakers’ a delay. This between-brain correlation disappeared when communication failed. further compared...

10.1038/srep43293 article EN cc-by Scientific Reports 2017-02-27

Functional near-infrared spectroscopy (fNIR) is a neroimaging modality that enables continuous, noninvasive, and portable monitoring of changes in blood oxygenation volume related to human brain function. Over the last decade, studies laboratory have established fNIR provides veridical measure flow brain. Our recent findings indicate can effectively monitor cognitive tasks such as attention, working memory, target categorization, problem solving. These experimental outcomes compare favorably...

10.1109/tnsre.2005.847377 article EN IEEE Transactions on Neural Systems and Rehabilitation Engineering 2005-06-01

A symbiotic relation between the operator and operational environment can be realized by an advanced computing platform designed to understand adapt cognitive physiological state of user, especially during sensitive cognitively demanding operations. The success such a complex system depends not only on efficacy individual components, but also efficient appropriate integration its parts. Because near infrared technology allows design portable, safe, affordable, negligibly intrusive monitoring...

10.1207/s15327590ijhc1702_6 article EN International Journal of Human-Computer Interaction 2004-06-01

MazeSuite is a complete toolset to prepare, present and analyze navigational spatial experiments1. can be used design edit adapted virtual 3D environments, track participants' behavioral performance within the environment synchronize with external devices for physiological neuroimaging measures, including electroencephalogram eye tracking. Functional near-infrared spectroscopy (fNIR) an optical brain imaging technique that enables continuous, noninvasive, portable monitoring of changes in...

10.3791/3443 article EN Journal of Visualized Experiments 2011-10-08

We present a Wiener filtering based algorithm for the elimination of motion artifacts in Near Infrared (NIR) spectroscopy measurements. Until now, adaptive was only technique used noise cancellation NIR studies. The results this preliminary study revealed that proposed method gives better estimates than classical approach without need additional sensor Moreover, novel has potential to filter out functional near infrared (fNIR) signals, too.

10.1109/tbme.2005.845243 article EN IEEE Transactions on Biomedical Engineering 2005-04-19

Functional Near-Infrared Spectroscopy (fNIR) is an optical brain monitoring technology that tracks changes in hemodynamic responses within the cortex. fNIR uses specific wavelengths of light, introduced at scalp, to enable noninvasive measurement relative ratios deoxygenated hemoglobin (deoxy-Hb) and oxygenated (oxy-Hb) during activity. This allows design portable, safe, affordable, noninvasive, minimally intrusive systems can be used measure activity natural environments, ambulatory field...

10.1109/iembs.2010.5627113 article EN 2010-08-01

As a continuation of our earlier work, we present in this study Kalman filtering based algorithm for the elimination motion artifacts Near Infrared spectroscopy (NIR) measurements. Functional NIR measurements suffer from head especially real world applications where movement cannot be restricted such as studies involving pilots, children, etc. Since can cause fluctuations unrelated to metabolic changes blood due cognitive activity, removal these signal is necessary reliable assessment...

10.1186/1475-925x-9-16 article EN cc-by BioMedical Engineering OnLine 2010-01-01

Artifact removal from physiological signals is an essential component of the biosignal processing pipeline. The need for powerful and robust methods this process has become particularly acute as healthcare technology deployment undergoes transition current hospital-centric setting toward a wearable ubiquitous monitoring environment. Currently, determining relative efficacy performance multiple artifact techniques available on real world data can be problematic, due to incomplete information...

10.1109/titb.2012.2207400 article EN IEEE Transactions on Information Technology in Biomedicine 2012-07-10

Abstract Background Newborns with critical health conditions are monitored in neonatal intensive care units (NICU). In NICU, one of the most important problems that they face is risk brain injury. There a need for continuous monitoring newborn's function to prevent any potential This type should not interfere newborn. Therefore, it be non-invasive and portable. Methods this paper, low-cost, battery operated, dual wavelength, wave near infrared spectroscopy system bedside hemodynamic...

10.1186/1475-925x-4-29 article EN cc-by BioMedical Engineering OnLine 2005-04-29

Functional near-infrared spectroscopy (fNIR) measures changes in the relative levels of oxygenated and deoxygenated hemoglobin has increasingly been used to assess neural functioning brain. In addition ongoing technological developments, investigators have also conducting studies on functional mapping refinement data analytic strategies order better understand relationship between fNIR signal brain activity. However, since is a relatively new imaging modality as compared positron emission...

10.1109/iembs.2006.260835 article EN International Conference of the IEEE Engineering in Medicine and Biology Society 2006-08-01

Near infrared (NIR) light has been used widely to monitor important hemodynamic parameters in tissue non-invasively. Pulse oximetry, near spectroscopy, and diffuse optical tomography are examples of such NIR light-based applications. These other similar applications employ either lasers or emitting diodes (LED) as the source light. Although hazards laser sources have addressed regulations, risk LED is still unknown. Temperature increase human skin caused by measured means in-vivo in-vitro...

10.1186/1475-925x-3-9 article EN cc-by BioMedical Engineering OnLine 2004-03-22

Neuroimaging technologies, such as functional near-infrared spectroscopy (fNIR), could provide performance metrics directly from brain-based measures to assess safety and of operators in high-risk fields. In this paper, we objectively subjectively examine the cognitive workload air traffic control specialists utilizing a next-generation conflict resolution advisory. Credible differences were observed between continuously increasing levels that induced by number aircraft under control. higher...

10.1109/thms.2014.2319822 article EN IEEE Transactions on Human-Machine Systems 2014-06-05

The linear electrode-electrolyte polarization immittance (impedance or admittance) can be analyzed by the fractional power pole (FPP) model [38] based on modification of Bode's [4] method to include functions with poles and/or zeros power. This is, in essence, an extension Davidson-Cole [12] entire frequency spectrum. In this paper, minimum phase property FPP is verified and positive reality principle [5] used identify specific type function for which applicable. condition "universal" law...

10.1109/tbme.1984.325317 article EN IEEE Transactions on Biomedical Engineering 1984-10-01
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