Fuzzy adaptive neurofeedback training: An efficient neurofeedback training procedure providing a more accurate progress rate for trainee

Shourie, Nasrin; Firoozabadi, Mohammad; Badie, Kambiz

doi:10.1016/j.bspc.2018.02.009

Cited by 16 publications

(18 citation statements)

References 26 publications

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“…To test the HBNFT method, EEG signals recorded in the study by Sho’ouri et al were used. 51,60 These signals were obtained from a total number of seven women during ten sessions (three 10-minute trials in each session) of NF training. Such participants were trained to increase low beta activity (15-18 Hz) and inhibit alpha activity in T5 channel to resemble the patterns of the brain activity of participants to those of professional visual artists during mental imagery.…”

Section: Description Of Proposed Training Methodsmentioning

confidence: 99%

“…Whenever relative low beta in a subject was higher than the threshold, the image was changed, their points were added, and an auditory feedback was heard. 37,51,60…”

Section: Description Of Proposed Training Methodsmentioning

confidence: 99%

“…At each period of time; the points added to each subject for each success, intensity of auditory feedback, and dimensions of visual feedback frame were determined according to the SI. 51,60…”

Section: Description Of Proposed Training Methodsmentioning

confidence: 99%

“…As a result, this method cannot inform subjects regarding their success rate and it may also confuse them in their evaluations. 51,60–63…”

Section: Introductionmentioning

confidence: 99%

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Hard Boundary-Based Neurofeedback Training Procedure: A Modified Fixed Thresholding Method for More Accurate Guidance of Subjects Within Target Areas During Neurofeedback Training

Sho’ouri

2022

Clin EEG Neurosci

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In nearly all studies within the domain of neurofeedback, a threshold has been defined for each training feature in a way that subjects’ status can be evaluated during training according to the given value. In this study, a hard boundary-based neurofeedback training (HBNFT) method based on the determination of decision boundary using support vector machine (SVM) classifier was proposed in which subjects’ status were clarified considering a decision boundary and they could also be encouraged once entering a target area. In this method, a scoring index (SI) was similarly defined whose value was determined in accordance with subject performance during training. The results revealed that employing a classifier and determining a decision boundary instead of using a threshold could prove more successful in accurately guiding them towards a target area and also meet no needs to choose a basis for determining a threshold. Moreover, it was likely that the proposed method could be more efficient in controlling features and preventing extreme changes compared to those using variable thresholds.

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Section: Description Of Proposed Training Methodsmentioning

confidence: 99%

“…Whenever relative low beta in a subject was higher than the threshold, the image was changed, their points were added, and an auditory feedback was heard. 37,51,60…”

Section: Description Of Proposed Training Methodsmentioning

confidence: 99%

Section: Description Of Proposed Training Methodsmentioning

confidence: 99%

“…As a result, this method cannot inform subjects regarding their success rate and it may also confuse them in their evaluations. 51,60–63…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Hard Boundary-Based Neurofeedback Training Procedure: A Modified Fixed Thresholding Method for More Accurate Guidance of Subjects Within Target Areas During Neurofeedback Training

Sho’ouri

2022

Clin EEG Neurosci

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“…Repetition of training that selectively compensates for EEG in a speci c frequency band can change a subject's EEG shape in a speci c direction. 13,14 At this time, a very small signal that does not interfere with the subject's meditation is provided. Neurofeedback protocols are mainly alpha, beta, delta, theta, or their combinations such as alpha/theta ratio and beta/theta ratio.…”

Section: Introductionmentioning

confidence: 99%

Modest effect of neurofeedback-assisted meditation using wearable device on stress reduction: A randomized, double-blind and controlled Study

Lee

Hong

Choi

et al. 2022

Preprint

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A 2-week, randomized, double blind, and controlled study was designed to evaluate the therapeutic effectiveness and safety of a neurofeedback wearable device for stress reduction. Participants were healthy adults with psychological stress and subclinical symptoms of depression or anxiety. Subjects practiced either neurofeedback-assisted meditation (n = 20) or neurofeedback non-assisted meditation (n = 18) for 12 minutes twice a day for a total of two weeks. Outcome variables were questionnaires of stress, mood, and sleep, quantitative electroencephalogram (qEEG), and blood tests. Regarding the Perceived Stress Scale, the experimental group had a significantly decreased score compared to the control group (6.45 ± 0.95 vs. 3.00 ± 5.54, p = 0.037). State anxiety tended to have a greater effect in the experimental group than in the control group (p = 0.078). Depressive mood and sleep were also improved in each group, showing no difference between the two groups. There were no significant differences in stress-related physiological parameters such as stress hormone or qEEG between the two groups. In the satisfaction evaluation of device use measured at final visits, subjective device satisfaction was significantly higher in the experimental group than in the control group (p = 0.008). Thus, neurofeedback-assisted meditation using a wearable device can help improve subjective stress reduction compared to non-assisted meditation. These results support neurofeedback as an effective adjunct to meditation to relieve stress.

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The effect of beta/alpha neurofeedback training on imitating brain activity patterns in visual artists

Sho’ouri

Firoozabadi

Badie³

2020

Biomedical Signal Processing and Control

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Fuzzy adaptive neurofeedback training: An efficient neurofeedback training procedure providing a more accurate progress rate for trainee

Cited by 16 publications

References 26 publications

Hard Boundary-Based Neurofeedback Training Procedure: A Modified Fixed Thresholding Method for More Accurate Guidance of Subjects Within Target Areas During Neurofeedback Training

Hard Boundary-Based Neurofeedback Training Procedure: A Modified Fixed Thresholding Method for More Accurate Guidance of Subjects Within Target Areas During Neurofeedback Training

Modest effect of neurofeedback-assisted meditation using wearable device on stress reduction: A randomized, double-blind and controlled Study

The effect of beta/alpha neurofeedback training on imitating brain activity patterns in visual artists

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