Evidence map›Paper›PMID 37177557›Full record

ArticleSensors (Basel, Switzerland)2023

Physiological Metrics of Surgical Difficulty and Multi-Task Requirement during Robotic Surgery Skills.

Chiho Lim, Juan Antonio Barragan, Jason Michael Farrow, Juan P Wachs, Chandru P Sundaram, Denny Yu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. An Expertise Transfer Framework For Autonomous Surgical Assistance.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Observational
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Cognitive ergonomics and robotic surgery.Journal of robotic surgery · 2024
    Review
  9. Review
  10. Quantifying Difficulty in Endoscopic Endonasal Surgery-A Modified Delphi Method Approach.Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale
    Article
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

6 authors.

Chiho LimSchool of Industrial Engineering, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0002-5293-5823
Juan Antonio BarraganSchool of Industrial Engineering, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0003-0855-4203
Jason Michael FarrowSchool of Medicine, Indiana University, Indianapolis, IN 46202, USA.
Juan P WachsSchool of Industrial Engineering, Purdue University, West Lafayette, IN 47907, USA.
Chandru P SundaramSchool of Medicine, Indiana University, Indianapolis, IN 46202, USA.
Denny YuSchool of Industrial Engineering, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0002-5083-1713

Funding

Real-time non-intrusive workload monitoring-Integration of human factors in surgery training and assessmentR21EB026177 · NIBIB · PURDUE UNIVERSITY · PI YU, DENNY · 2019 to 2020
$405k
NIBIB NIH HHS R21 EB026177NIBIB NIH HHS R21EB026177
6 · The paper itself

Abstract

Previous studies in robotic-assisted surgery (RAS) have studied cognitive workload by modulating surgical task difficulty, and many of these studies have relied on self-reported workload measurements. However, contributors to and their effects on cognitive workload are complex and may not be sufficiently summarized by changes in task difficulty alone. This study aims to understand how multi-task requirement contributes to the prediction of cognitive load in RAS under different task difficulties. Multimodal physiological signals (EEG, eye-tracking, HRV) were collected as university students performed simulated RAS tasks consisting of two types of surgical task difficulty under three different multi-task requirement levels. EEG spectral analysis was sensitive enough to distinguish the degree of cognitive workload under both surgical conditions (surgical task difficulty/multi-task requirement). In addition, eye-tracking measurements showed differences under both conditions, but significant differences of HRV were observed in only multi-task requirement conditions. Multimodal-based neural network models have achieved up to 79% accuracy for both surgical conditions.

Indexed as

Robotic Surgical ProceduresHumansNeural Networks, ComputerSelf ReportTask Performance and AnalysisWorkloadcognitive workloadmultimodalitymultitaskphysiological signalsurgical skill

Identifiers

PMID37177557
PMCPMC10181544

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.