Evidence map›Paper›PMID 41354899›Full record

ArticleMedical & biological engineering & computing2026

Assessment of surgical proficiency based on evaluating muscle activity, bimanual muscle coordination, and fatigue susceptibility in simulated laparoscopic tasks.

Farzad Aghazadeh, Bin Zheng, Mahdi Tavakoli, Hossein Rouhani

Abstract read
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In one paragraph

Article in Medical & biological engineering & computing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Farzad AghazadehDepartment of Mechanical Engineering, University of Alberta, Edmonton, Alberta, Canada.
Bin ZhengDepartment of Surgery, University of Alberta, Edmonton, Alberta, Canada.
Mahdi TavakoliDepartment of Electrical & Computer Engineering, University of Alberta, Edmonton, Alberta, Canada.
Hossein RouhaniDepartment of Mechanical Engineering, University of Alberta, Edmonton, Alberta, Canada. hrouhani@ualberta.ca.

Funding

Alberta Minister of Jobs, Economy and Innovation MIF01 T4 P1
6 · The paper itself

Abstract

Surgical complications pose significant risks to patient safety and impose financial burdens, underscoring the need for reliable surgical skill training. Effective skill training requires accurate assessment. Conventional assessment methods are often subjective and labor-intensive. While motion metrics evaluate surgical performance, they provide limited insight into physiological mechanisms. This study assessed surgical proficiency through electromyography (EMG) during simulated laparoscopic tasks. Eighteen participants were recruited: five experts, five intermediates, and eight novices. EMG signals were recorded from Biceps Brachii, Triceps Brachii, Brachioradialis, Wrist Flexors, and Wrist Extensors of both arms. Root mean squared (RMS) values assessed muscle activity amplitude, mutual information (MI) quantified bimanual coordination, and instantaneous median frequency (IMDF) evaluated fatigue susceptibility. Higher skill levels, compared to lower levels, had significantly lower RMS EMG values in Biceps and Triceps, suggesting more relaxed muscle states. They exhibited significantly higher MI values, indicating superior bimanual coordination. Novices showed a significant decline in mean IMDF over trials, highlighting fatigue susceptibility, particularly in the Biceps and Triceps. These findings underscore EMG metrics' merit in objectively assessing surgical skill, providing insight into motor control, coordination, and fatigue. This multilevel physiological approach can inform training strategies and ergonomic interventions to improve surgical performance and reduce fatigue risk.

Indexed as

Clinical CompetenceLaparoscopyMuscle FatigueMuscle, SkeletalAdultElectromyographyFemaleHumansMaleYoung AdultEMGMinimally invasive surgeryMotor controlMutual informationWavelet analysis

Identifiers

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.