DocumentCode
2949555
Title
Single trial hemodynamic response estimation in a block anagram solution study using fNIR spectroscopy
Author
Izzetoglu, Meltem ; Nioka, Shoko ; Chance, Britton ; Onara, Banu
Author_Institution
Sch. of Biomed. Eng., Sci. & Health Syst., Drexel Univ., Philadelphia, PA, USA
Volume
5
fYear
2005
fDate
18-23 March 2005
Abstract
Near infrared spectroscopy (NIRs) has shown great potential in examining functional brain activity during cognitive tasks by enabling the measurement of changes in the concentration of deoxygenated and oxygenated hemoglobin. It has attracted great interest due to its portability, low cost, safety and non-invasiveness. We present a novel single trial hemodynamic response estimation algorithm in an anagram solution study using functional NIRs (fNIRs). The temporal profile of the hemodynamic response to each single trial stimulus is estimated by minimizing the error between the oxygenation data measured by fNIRs and a linear model. No prior assumption on the amplitude, latency, or variance of the hemodynamic response is required other than its shape to be a γ function. Once the estimates of single trial hemodynamic responses gathered from the dorsolateral prefrontal cortex are obtained, features, such as maximum amplitude, rise time, etc., are extracted and compared for different difficulty levels of the test.
Keywords
brain; haemodynamics; infrared spectroscopy; medical signal processing; minimisation; parameter estimation; patient monitoring; proteins; γ function; block anagram solution study; cognitive tasks; deoxygenated hemoglobin; dorsolateral prefrontal cortex; error minimization; functional NIR spectroscopy; functional brain activity; functional near infrared spectroscopy; gamma function; maximum amplitude; oxygenated hemoglobin; rise time; single trial hemodynamic response estimation; Amplitude estimation; Brain modeling; Costs; Delay; Hemodynamics; Infrared spectra; Safety; Shape; Spectroscopy; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-8874-7
Type
conf
DOI
10.1109/ICASSP.2005.1416383
Filename
1416383
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