Evidence map›Paper›PMID 40628858›Full record

ArticleScientific reports2025

Smartwatch-based wrist tremor assessment in neurosurgical simulator training.

Laurenz Berger, Lorenzo Civilla, Philippe Dodier, Karl Rössler, Francesco Moscato

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Laurenz BergerCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria. laurenz.berger@meduniwien.ac.at.
Lorenzo CivillaCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Philippe DodierDepartment of Neurosurgery, Medical University of Vienna, Vienna, Austria.
Karl RösslerDepartment of Neurosurgery, Medical University of Vienna, Vienna, Austria.
Francesco MoscatoCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While surgical skill is acquired during training, objectively evaluating training's impact is challenging. However, new possibilities in measuring wrist tremor during surgical procedures have emerged due to novel wearable sensors. In this study, the effect of simulator-based neurosurgical resident training on wrist tremor was assessed using a smartwatch. A study involving nine neurosurgical residents performing simulator-based training on unruptured intracranial aneurysm clipping procedures was conducted. Residents performed four training sessions on two days (180 clippings in total). Three cohorts were formed receiving in between the two days either: no training, video-based training, or video-based training with augmented reality. Wrist acceleration was measured using a smartwatch. Wrist tremor was calculated using the acceleration data in time and frequency domains (peak power, total power, and peak frequency). Video-based training with augmented reality showed a statistically significant reduction in total power as well as in peak power, with reductions of 56% (p = 0.0186) and 69% (p = 0.0021), between day 0 and day 14, respectively. Wrist tremor assessment using a smartwatch confirmed the positive impact of video-based and augmented reality training on neurosurgical residents' confidence in surgical training procedures by reducing wrist tremor, making it a valuable tool for skill assessment.

Indexed as

Neurosurgical ProceduresSimulation TrainingTremorWearable Electronic DevicesWristAdultClinical CompetenceFemaleHumansInternship and ResidencyMaleAugmented realityNeurosurgerySimulation-based trainingSkillSmartwatchTremor measurement

Identifiers

PMID40628858
PMCPMC12238482

What OpenQuestion holds

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Registered trials

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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.