Cognitive event-related potential waveform latency determination: Based on result of matching pursuit algorithm and Hilbert-Huang transform

Rondik, Tomas; Mautner, Pavel

doi:10.1109/bmei.2013.6746935

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…Increased (i.e., more negative) magnitude of ERN amplitudes after errors are thought to constitute better executive functioning in the form of cognitive control and monitoring and cognitive flexibility [23]. To avoid detection of inaccurate peak amplitudes [48], a wavelet-based peak finding method was applied to the session mean ERN waveform within 0 to 300 ms relative to response onset. The ERN peak amplitude and latency values were identified.…”

Section: Brain Activitymentioning

confidence: 99%

Executive Function-Related Improvements on a Commercial CBT-Based Weight Management Intervention: Pilot Randomized Controlled Trial

Michaelides¹,

Mitchell²,

Behr³

et al. 2022

Preprint

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Executive functioning is a key component involved in many of the processes necessary for effective weight management behavior change (e.g., setting goals). Cognitive behavioral therapy (CBT) and third-wave CBT (e.g., mindfulness) are considered first-line treatments for obesity, but it is unknown to what extent they can improve or sustain executive functioning. This pilot randomized controlled trial examined if a CBT-based generalized weight management intervention would affect executive functioning and executive function-related brain activity in individuals with obesity or overweight. Participants were randomized to an intervention condition (N=24) that received the Noom Weight program or to a control group (N=26) receiving weekly educational newsletters. EEG measurements were taken during Flanker, Stroop, and N-back tasks at baseline and months 1 through 4. After 4 months, the intervention condition evidenced greater accuracy over time and, to some extent, neural markers of executive function (error-related negativity and beta and gamma band powers) compared to the control group on the Flanker and Stroop tasks. The intervention condition also lost more weight than controls (-7.1 pounds vs. +1.0 pounds). Given mixed evidence on whether CBT-based interventions can change markers of executive function, this study contributes preliminary evidence that a multicomponent CBT-based weight management intervention (i.e., that provide both support for weight management and is based on CBT) can help individuals sustain executive function compared to controls.

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Section: Brain Activitymentioning

confidence: 99%

Executive Function-Related Improvements on a Commercial CBT-Based Weight Management Intervention: Pilot Randomized Controlled Trial

Michaelides¹,

Mitchell²,

Behr³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…An ERP is a response of the brain to a certain stimulus (Rondik and Mautner, 2013). The amplitude and latency of the third spade of the ERP is often studied.…”

Section: Erp and Eeg Entropymentioning

confidence: 99%

Modelling and Detection of Driver’s Fatigue using Ontology

Lambert

Hina

Barth

et al. 2021

Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management

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Road accidents have become the eight leading cause of death all over the world. Lots of these accidents are due to a driver's inattention or lack of focus, due to fatigue. Various factors cause driver's fatigue. This paper considers all the measureable data that manifest driver's fatigue, namely those manifested in the vehicle measureable data while driving as well as the driver's physical and physiological data. Each of the three main factors are further subdivided into smaller details. For example, the vehicle's data is composed of the values obtained from the steering wheel's angle, yaw angle, the position on the lane, and the speed and acceleration of the vehicle while moving. Ontological knowledge and rules for driver fatigue detection are to be integrated into an intelligent system so that on the first sign of dangerous level of fatigue is detected, a warning notification is sent to the driver. This work is intended to contribute to safe road driving.

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Sensor Applications and Physiological Features in Drivers’ Drowsiness Detection: A Review

et al. 2018

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Cognitive event-related potential waveform latency determination: Based on result of matching pursuit algorithm and Hilbert-Huang transform

Cited by 3 publications

References 14 publications

Executive Function-Related Improvements on a Commercial CBT-Based Weight Management Intervention: Pilot Randomized Controlled Trial

Executive Function-Related Improvements on a Commercial CBT-Based Weight Management Intervention: Pilot Randomized Controlled Trial

Modelling and Detection of Driver’s Fatigue using Ontology

Sensor Applications and Physiological Features in Drivers’ Drowsiness Detection: A Review

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