scholarly journals Challenge Accepted? Individual Performance Gains for Motor Imagery Practice with Humanoid Robotic EEG Neurofeedback

Sensors ◽  
2020 ◽  
Vol 20 (6) ◽  
pp. 1620 ◽  
Author(s):  
Mareike Daeglau ◽  
Frank Wallhoff ◽  
Stefan Debener ◽  
Ignatius Condro ◽  
Cornelia Kranczioch ◽  
...  
Keyword(s):  
Motor Imagery ◽  
Humanoid Robot ◽  
Individual Performance ◽  
Context Factors ◽  
Race Condition ◽  
Significant Difference ◽  
Eeg Neurofeedback ◽  
Single User ◽  
Signal Processing Methods ◽  
User Condition

Optimizing neurofeedback (NF) and brain–computer interface (BCI) implementations constitutes a challenge across many fields and has so far been addressed by, among others, advancing signal processing methods or predicting the user’s control ability from neurophysiological or psychological measures. In comparison, how context factors influence NF/BCI performance is largely unexplored. We here investigate whether a competitive multi-user condition leads to better NF/BCI performance than a single-user condition. We implemented a foot motor imagery (MI) NF with mobile electroencephalography (EEG). Twenty-five healthy, young participants steered a humanoid robot in a single-user condition and in a competitive multi-user race condition using a second humanoid robot and a pseudo competitor. NF was based on 8–30 Hz relative event-related desynchronization (ERD) over sensorimotor areas. There was no significant difference between the ERD during the competitive multi-user condition and the single-user condition but considerable inter-individual differences regarding which condition yielded a stronger ERD. Notably, the stronger condition could be predicted from the participants’ MI-induced ERD obtained before the NF blocks. Our findings may contribute to enhance the performance of NF/BCI implementations and highlight the necessity of individualizing context factors.

scholarly journals Event-related desynchronization in motor imagery with EEG neurofeedback in the context of declarative interference and sleep

2021 ◽  
Vol 1 (4) ◽  
pp. 100058
Author(s):  
Mareike Daeglau ◽  
Catharina Zich ◽  
Julius Welzel ◽  
Samira Kristina Saak ◽  
Jannik Florian Scheffels ◽  
...  
Keyword(s):  
Motor Imagery ◽  
Event Related Desynchronization ◽  
Eeg Neurofeedback

Individual and Group Performance

1967 ◽  
Vol 21 (2) ◽  
pp. 341-344
Author(s):  
Robert Pawlicki ◽  
Walter Gunn
Keyword(s):  
Grade Level ◽  
Group Performance ◽  
Individual Performance ◽  
The Other ◽  
Lower Grade ◽  
Clear Cut ◽  
Significant Difference ◽  
Upper Level ◽  
Shift Change

Two freshman psychology classes were presented a series of factual statements and asked to respond either true or false both individually and collectively to determine the importance of individual performance preceding group performance and vice versa in terms of shift (change of an answer given to a statement in one situation from an answer previously given to the same statement in another situation), the influence on accuracy of one situation preceding the other and the amount of shift observed in students with high grades and those with low grades. The data indicated that students at the extreme lower grade level (quartile IV) tended to shift more than students at the extreme upper level (quartile I), but no clear-cut differentiation appeared in central areas (quartiles II and III). No significant difference in shift occurred when group performance preceded individual performance or vice versa. Group performance preceding individual performance did prove to have a beneficial influence upon the individual's performance in that Ss conform somewhat to the performance of the group. The accuracy of the group performance was superior to that of the individuals.

scholarly journals Application of a Simulation-Based Interprofessional Teamwork Assessment Tool (SITAT) to Individual Student Performance in a Team-Based Simulation

2021 ◽  
Vol 8 ◽  
pp. 238212052110424
Author(s):  
Brittany J Daulton ◽  
Laura Romito ◽  
Zach Weber ◽  
Jennifer Burba ◽  
Rami A Ahmed
Keyword(s):  
Student Performance ◽  
Internal Consistency ◽  
Interprofessional Education ◽  
Interrater Reliability ◽  
Assessment Tool ◽  
Individual Performance ◽  
Individual Student ◽  
Interprofessional Teamwork ◽  
Significant Difference ◽  
Simulation Based

There are a very limited number of instruments to assess individual performance in simulation-based interprofessional education (IPE). The purpose of this study was to apply the Simulation-Based Interprofessional Teamwork Assessment Tool (SITAT) to the individualized assessment of medicine, pharmacy, and nursing students (N = 94) in a team-based IPE simulation, as well as to explore potential differences between disciplines, and calculate reliability estimates for utilization of the tool. Results of an analysis of variance provided evidence that there was no statistically significant difference among professions on overall competency ( F(2, 91)  =  0.756, P  = .472). The competency reports for nursing ( M = 3.06, SD = 0.45), medicine ( M = 3.19, SD = 0.42), and pharmacy ( M = 3.08, SD = 0.49) students were comparable across professions. Cronbach's alpha provided a reliability estimate of the tool, with evidence of high internal consistency ( α = .92). The interrater reliability of the SITAT was also investigated. There was moderate absolute agreement across the 3 faculty raters using the 2-way mixed model design and “average” unit (kappa = 0.536, P = .000, 95% CI [0.34, 0.68]). The novel SITAT demonstrates internal consistency and interrater reliability when used for evaluation of individual performance during IPE simulation. The SITAT provides value in the education and evaluation of individual students engaged in IPE curriculum.

DECODING OF SIMPLE AND COMPOUND LIMB MOTOR IMAGERY MOVEMENTS BY FRACTAL ANALYSIS OF ELECTROENCEPHALOGRAM (EEG) SIGNAL

Fractals ◽  
2019 ◽  
Vol 27 (03) ◽  
pp. 1950041 ◽  
Author(s):  
HAMIDREZA NAMAZI ◽  
TIRDAD SEIFI ALA
Keyword(s):  
Fractal Dimension ◽  
Motor Imagery ◽  
Fractal Analysis ◽  
Brain Activity ◽  
Eeg Signal ◽  
Left Hand ◽  
Right Hand ◽  
Significant Difference ◽  
Electroencephalogram Eeg ◽  
The Brain

One of the major attempts in rehabilitation science is to decode different movements of human using physiological signals. Since human movements are mainly controlled by the brain, decoding of movements by analysis of the brain activity has great importance. In this paper, we apply fractal analysis to Electroencephalogram (EEG) signal in order to decode simple and compound limb motor imagery movements. The fractal dimension of EEG signal is analyzed in case of left hand, right hand, both hands, feet, left hand combined with right foot, and right hand combined with left foot movements. Based on the obtained results, EEG signal experiences the lowest and greatest fractal dimension in case of both hands movement, and feet movement, respectively. Besides obtaining different fractal dimension for EEG signal in case of different movements, no significant difference was observed in fractal dimension of EEG signal between different movements. The method of analysis employed in this research can be widely applied to analysis of EEG signal for decoding of different movements of human.

Stability of Speech Intelligibility Measures Over Repeated Sampling Times in Speakers With Acquired Apraxia of Speech

2021 ◽  
pp. 1-17
Author(s):  
Emilia Vitti ◽  
Shannon Mauszycki ◽  
Lisa Bunker ◽  
Julie Wambaugh
Keyword(s):  
Speech Intelligibility ◽  
Group Performance ◽  
Multiple Choice ◽  
Individual Performance ◽  
Apraxia Of Speech ◽  
Single Word ◽  
Significant Difference ◽  
Repeated Sampling ◽  
Positive Correlations ◽  
Sampling Times

Purpose The purpose of this investigation was to measure the test–retest stability of single-word intelligibility in a group of 28 speakers with chronic apraxia of speech and aphasia. Method The Assessment of Intelligibility of Dysarthric Speech was administered twice to each participant, with samples separated by 1 week. Scoring of recorded samples was completed independently by three expert listeners using transcription and multiple-choice scoring formats. Results Percent intelligible words was very similar for the group over the two sampling times for both scoring formats (i.e., within 1.5%), with no statistically significant differences found between times. Statistically significant, very strong, positive correlations were found between sampling times for intelligibility scores. Transcription and multiple-choice scores were strongly, positively correlated, with multiple-choice scores being statistically higher. There was a statistically significant difference between mean transcription and multiple-choice scores for the group at Time 1 and Time 2. Individual performance was similar to group performance for the majority of participants. Conclusions These findings indicate that single-word intelligibility measures are stable over repeated sampling occasions. Stability was evident for transcription and multiple-choice scoring methods. Supplemental Material https://doi.org/10.23641/asha.14226737

Finding the Value of Immersive, Virtual Environments Using Competitive Usability Analysis

2012 ◽  
Vol 12 (2) ◽  
Author(s):  
Kurt M. Satter ◽  
Alley C. Butler
Keyword(s):  
Virtual Environments ◽  
Virtual Environment ◽  
Time Frame ◽  
Individual Performance ◽  
Immersive Virtual Environments ◽  
Cost Avoidance ◽  
Immersive Virtual Environment ◽  
Cave System ◽  
Significant Difference ◽  
Usability Analysis

Competitive usability studies are employed providing empirical results in a design evaluation and review context. Populations of novice and experienced users are tested against benchmarks. Benchmark 1 is used to evaluate error identification and correction. Benchmark 2 is employed to evaluate the user’s ability to understand spatial relationships. Both benchmarks 1 and 2 compare individual performance with performance of teams. Benchmarks 3 measures quantity of errors found in a 4 min time frame. For benchmark 1, there is a statistically significant difference, but for benchmark 2, there is no statistical difference. For benchmark 3, there is a statistically significant increase in errors found. This increase is evaluated for impact as cost avoidance. It is concluded that cost avoidance by using a cave automatic virtual environment (CAVE) immersive virtual environment easily justifies the CAVE system.

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