Kurtulus I Izzetoglu

20080306365, Dec 11, 2008

Apr 18, 2008

12/105979

Scott C. Bunce - Philadelphia PA, US
Ajit Devaraj - Philadelphia PA, US
Meltem Izzetoglu - Drexel Hill PA, US
Banu Onaral - Philadelphia PA, US
Kurtulus Izzetoglu - Drexel Hill PA, US
Kambiz Pourrezaei - Philadelphia PA, US

A61B 5/1455

600323

Functional near-infrared (fNIR) neuroimaging is used to assess credibility, detect deception, and implement a query methodology for determining deception via neuroimaging. Oxygenation levels of portions of the brain are imaged via fNIR spectroscopy and utilized to determine if the subject is telling a lie or a truth. In an example configuration, oxygenation levels in the inferior and/or middle prefrontal cortical areas of the brain, such as the bilateral dorsolateral prefrontal and/or inferior frontal cortex, are measured to determine if a subject is lying relative to telling the truth. An example system includes a portable, flexible, belt like sensing device that is positioned proximate the subjects scalp. Sensed neural activity is transmitted either through wired or wireless means, to a processor for analysis of the sensed neural activity. The query methodology utilizes an attestation assertion that mitigates variance in brain responses due to the length or form of a question.

20100081903, Apr 1, 2010

Sep 30, 2009

12/571145

Kurtulus Izzetoglu - Drexel Hill PA, US

DREXEL UNIVERSITY - Philadelphia PA

A61B 5/1455

600328, 600326

Disclosed are methods and devices for measuring a state of anesthesia in a noninvasive manner. Optical techniques may be used to measure changes in a functional near-infrared (fNIR) signal, where the fNIR signal is received in response to directing wavelengths of light in a near-infrared range on a patient. The optical density change may be used to obtain a change in deoxyhemoglobin (deoxy-Hb) concentration and/or a change in an oxyhemoglobin concentration (oxy-Hb). The changes in the deoxy-Hb and/or the oxy-Hb may then be compared to determine a state of anesthesia.The effect of artifacts (e.g., strong surgery room lighting, patient-table tilting, patient intubation/extubation) on the fNIR signal may be removed using a noise removal algorithm. In selecting the noise removal algorithm, a switching technique may be used to select the component analysis algorithm, such as a principal component analysis (PCA), an independent component analysis (ICA), or the like.

20140372081, Dec 18, 2014

Mar 29, 2012

14/007815

Meltem Alkan Izzetoglu - Drexel Hill PA, US
Kurtulus Izzetoglu - Drexel Hill PA, US

Drexel University - Philadelphia PA

G01R 23/15

702193

Noise artifacts may be removed from a signal utilizing functional near infrared (fNIR) spectroscopy measurement techniques. The noise removal may be accomplished in field conditions, such as, for example, in an operating room setting. In an example configuration, to remove noise artifacts, independent component analysis (ICA) and principal component analysis (PCA) may be implemented in a procedure that utilizes a dark current measurement as a reference signal. The use of the combined ICA/PCA analysis and dark current measurement reference signal allows noise to be removed on a per channel basis, thus providing an effective noise removal procedure and allowing for a single active measurement channel.