Human Performance Assessment: Evaluation of Wearable Sensors for Monitoring Brain Activity

İzzetoǧlu, Kurtuluş; Richards, Dale

doi:10.4324/9780429492181-8

Cited by 14 publications

(6 citation statements)

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“…Additional analysis was performed on the individual fNIRS optodes. Within the scope of this study, we primarily focused on the left dorsolateral prefrontal cortex region, specifically optode-3 and optode-4, as shown in Figure 3 b, as both optodes acquire hemodynamic changes from the PFC region, which is known to be associated with working memory and learning [ 15 , 25 ]. The topographic mapping and the relative oxygenation changes are depicted on the left dorsolateral prefrontal cortex (left DPFC) for each task block in Figure 6 .…”

Section: Resultsmentioning

confidence: 99%

Studying Brain Activation during Skill Acquisition via Robot-Assisted Surgery Training

et al. 2021

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Robot-assisted surgery systems are a recent breakthrough in minimally invasive surgeries, offering numerous benefits to both patients and surgeons including, but not limited to, greater visualization of the operation site, greater precision during operation and shorter hospitalization times. Training on robot-assisted surgery (RAS) systems begins with the use of high-fidelity simulators. Hence, the increasing demand of employing RAS systems has led to a rise in using RAS simulators to train medical doctors. The aim of this study was to investigate the brain activity changes elicited during the skill acquisition of resident surgeons by measuring hemodynamic changes from the prefrontal cortex area via a neuroimaging sensor, namely, functional near-infrared spectroscopy (fNIRS). Twenty-four participants, who are resident medical doctors affiliated with different surgery departments, underwent an RAS simulator training during this study and completed the sponge suturing tasks at three different difficulty levels in two consecutive sessions/blocks. The results reveal that cortical oxygenation changes in the prefrontal cortex were significantly lower during the second training session (Block 2) compared to the initial training session (Block 1) (p < 0.05).

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Section: Resultsmentioning

confidence: 99%

Studying Brain Activation during Skill Acquisition via Robot-Assisted Surgery Training

et al. 2021

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“…The trainees may have similar performance scores, but the amount of mental effort varies between individuals. Using optical imaging along with the existing training and scoring protocols and scoring systems has been used by various industries such as aviation [17, 31, 36]. It was shown that adaptive training systems, such as fNIRS, which utilize the “brain‐in‐the‐loop” learning method, increase the efficiency of the training programs [36, 40].…”

Section: Discussionmentioning

confidence: 99%

Assessment of learning in simulator‐based arthroscopy training with the diagnostic arthroscopy skill score (DASS) and neurophysiological measures

Aksoy,

Kocaoglu,

İzzetoglu

et al. 2023

Knee surg. sports traumatol. arthrosc.

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Purpose Virtual arthroscopic training has become increasingly popular. However, there is a lack of efficiency-based tracking of the trainee, which may be critical for determining the specifics of training programs and adapting them for the needs of each trainee. This study aims to evaluate and compare the measures obtained with a non-invasive neurophysiological method with The Diagnostic Arthroscopy Skill Score (DASS), a commonly used assessment tool for evaluating arthroscopic skills. Methods The study collected simulator performance scores, consisting of "Triangulation Right Hand", "Triangulation Left Hand", "Catch the Stars" and "Three Rings" and DASS scores from 22 participants (11 novices, 11 experts). These scores were obtained while participants underwent a structured program of exercises for the fundamentals of arthroscopic surgery training (FAST) and knee module using a simulator-based arthroscopy device. During the evaluation, data on oxy-hemoglobin and deoxy-hemoglobin levels in the prefrontal cortex were collected using the Functional Near-Infrared Spectroscopy (fNIRS) imaging system. Performance scores, DASS scores, and fNIRS data were subsequently analyzed to determine any correlation between performance and cortex activity. ResultsThe simulator performance scores and the DASS Part2 scores were significantly higher in the expert group compared to the novice group (200.1 ± 28.5 vs 172.5 ± 48.9, p = 0.04 and 9.4 ± 5.6 vs. 5.4 ± 5.6 p = 0.02). In the expert group, fNIRS data showed a significantly lower prefrontal cortex activation during fundamental tasks in the FAST module, indicating significantly more efficient mental resource use. ConclusionThe analysis of cognitive workload changes during simulation-based arthroscopy training revealed a significant correlation between the trainees' DASS scores and fNIRS data. This correlation suggests the potential use of fNIRS data and DASS scores as additional metrics to create adaptive training protocols for each participant. By incorporating these metrics, the training process can be optimized, leading to more efficient arthroscopic training and better preparedness for clinical operations. Level of evidence III.

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“…Previous studies have repetitively indicated that brain activity during complex tasks is not localized to one PFC area [10,12,15,18,40,41]. Furthermore, studies have also shown increased intersubject variability when studying a complex task in comparison to a standard or simple task (i.e., Stroop, etc.)…”

Section: Prefrontal Cortex's Involvement During Uas Operator's Search and Surveillance Taskmentioning

confidence: 99%

“…We had each participant undergo three sessions of easy difficulty, followed by two sessions of harder difficulty to evaluate skill acquisition and transfer, respectively. Based on previous investigation using a similar task, we hypothesize that those participants who demonstrate an increase in their behavioral performance with practice across easy sessions, will display a decrease in brain activity within task specific regions [18,19].…”

Section: Introductionmentioning

confidence: 99%

Utilizing Inter-Subject Variability to Assess Performance and Brain Activity During Complex Task Learning

Reddy

Shewokis

İzzetoǧlu

2021

Preprint

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With tasks becoming more mentally focused and operators being required to conduct multiple tasks simultaneously, it is important to not only acquire direct measurements from the brain, but also account for changes in performance and brain activity as a function of intersubject variability and task demands. Such methodology is particularly important when evaluating skill acquisition and transfer during training on a complex and ecologically valid task. To evaluate the aforementioned factors, we implemented a search and surveillance task (scanning an assigned area and identifying targets) using a high-fidelity Unmanned Aerial System operator training simulator, acquired brain activity changes via a portable functional near infrared spectroscopy (fNIRS) sensor array, and had novice participants (N = 13) undergo three sessions of easy difficulty followed by two harder difficulty sessions. Behavioral performance results indicated no significant change in scan or target find performance across easy sessions when intersubject variability was not accounted for. However, accounting for intersubject variability indicated that some individuals improved their scan performance, and they deteriorated their target find performance (Attention-focused group), while others deteriorated their scan performance, and they improved their target find performance (Accuracy-focused group). fNIRS results displayed that both groups exhibited a decrease in brain activity across easy sessions within the left dorsolateral prefrontal cortex (LDLPFC) and right anterior medial PFC (RAMPFC), while activity in left anterior medial prefrontal cortex (LAMPFC) increased in the Attention-focused group and decreased in the Accuracy-focused group. In both groups, transitioning to hard sessions resulted in a decrease in performance. The Attention-focused group displayed an increase in brain activity within LDLPFC, RAMPFC and LAMPFC, while the Accuracy-focused group displayed an increase in brain activity within LDLPFC, no change within RAMPFC and a decrease within LAMPFC. These results suggest that the Attention-focused group was able to acquire and transfer the skills needed to efficiently complete the scan task, while remaining engaged in a target find task. Alternatively, the Accuracy-focused group was engaged only on acquiring the skills needed to efficiently complete the target find task. In conclusion, these results suggest that utilizing intersubject variability as relevant information rather than noise improves assessments of skill acquisition and transfer during training on a complex task.

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Human Performance Assessment: Evaluation of Wearable Sensors for Monitoring Brain Activity

Cited by 14 publications

References 1 publication

Studying Brain Activation during Skill Acquisition via Robot-Assisted Surgery Training

Studying Brain Activation during Skill Acquisition via Robot-Assisted Surgery Training

Assessment of learning in simulator‐based arthroscopy training with the diagnostic arthroscopy skill score (DASS) and neurophysiological measures

Utilizing Inter-Subject Variability to Assess Performance and Brain Activity During Complex Task Learning

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