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Scott Bunce

Publications and source records attributed to Scott Bunce.

3 recordsLinked to original sources

Motion artifact cancellation in NIR spectroscopy using Wiener filtering.

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

Algorithms↗

Functional near-infrared neuroimaging.

Functional near-infrared spectroscopy (fNIR) is a neroimaging modality that enables continuous, noninvasive, and portable monitoring of changes in blood oxygenation and blood volume related to human brain function. Over the last decade, studies in the laboratory have established that fNIR spectroscopy provides a veridical measure of oxygenation and blood flow in the brain. Our recent findings indicate that fNIR can effectively monitor cognitive tasks such as attention, working memory, target categorization, and problem solving. These experimental outcomes compare favorably with functional magnetic resonance imaging (fMRI) studies, and in particular, with the blood oxygenation level dependent signal. Since fNIR can be implemented in the form of a wearable and minimally intrusive device, it has the capacity to monitor brain activity under real life conditions and in everyday environments. Moreover, the fNIR system is amenable to integration with other established physiological and neurobehavioral measures, including electroencephalogram, eye tracking, pupil reflex, heart rate variability, respiration, and electrodermal activity.

Algorithms↗

Learning from disappointing outcomes: an evaluation of prevocational interventions for methadone maintenance patients.

To increase rates of employment and improve overall rehabilitation in methadone maintenance treatment, three prevocational trainings, Vocational Problem Solving, Job Seekers Workshop, and the two combined, were evaluated as adjunctive services. Between March 1995 and April 1998, subjects in treatment were interviewed at baseline, randomly assigned to one of the trainings, and followed up at 6 and 12 months postbaseline. None of the three models produced significantly greater employment or better overall rehabilitation. Experience from the study suggests that closer integration of prevocational training with treatment, individualizing efforts to meet training needs, and providing support during job-finding and early job-holding might improve program effectiveness.

Adult↗