Evidence map›Paper›PMID 42122468›Full record

ArticleSensors (Basel, Switzerland)2026

Webcam-Based Pain Measurement Using Pupillary Diameter.

Natalia Shamantseva, Arseniy Polyakov, Vsevolod Lyakhovetskii, Margarita Bystrova, Ivan Sakun, Sergey Ananyev, Yury Gerasimenko, Tatiana Moshonkina

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Natalia ShamantsevaPavlov Institute of Physiology, Russian Academy of Sciences, 199034 St. Petersburg, Russia.ORCID 0000-0001-8332-1843
Arseniy PolyakovPavlov Institute of Physiology, Russian Academy of Sciences, 199034 St. Petersburg, Russia.
Vsevolod LyakhovetskiiPavlov Institute of Physiology, Russian Academy of Sciences, 199034 St. Petersburg, Russia.ORCID 0000-0001-5948-0991
Margarita BystrovaPavlov Institute of Physiology, Russian Academy of Sciences, 199034 St. Petersburg, Russia.ORCID 0009-0000-1547-3001
Ivan SakunPavlov Institute of Physiology, Russian Academy of Sciences, 199034 St. Petersburg, Russia.ORCID 0009-0003-7810-8396
Sergey AnanyevPavlov Institute of Physiology, Russian Academy of Sciences, 199034 St. Petersburg, Russia.ORCID 0000-0001-9757-7946
Yury GerasimenkoPavlov Institute of Physiology, Russian Academy of Sciences, 199034 St. Petersburg, Russia.
Tatiana MoshonkinaPavlov Institute of Physiology, Russian Academy of Sciences, 199034 St. Petersburg, Russia.ORCID 0000-0002-8934-5253

Funding

Cosyma LLC 2025-10-01/2025-06-17Pavlov Institute of Physiology, Russian Academy of Sciences 1021062411782-5-3.1.8
6 · The paper itself

Abstract

Pupillometry can be used as a method for monitoring pain. There are experimental conditions under which standard pupillometry equipment cannot be used. Studying the effects of different pulse forms used for transcutaneous spinal cord stimulation (tSCS) is one such task. The aim was to create a system for recording pupil diameter based on a web camera because it can be synchronised with external equipment, which allows the diameter to be recorded simultaneously with other physiological signals. A markerless system for recording and analysing pupil diameter using deep neural networks was developed based on a commercially available web camera. The accuracy of this system was compared with the accuracy of measurements using manual analysis with ImageJ (version 1.54g). For validation, the system was tested in a study of the dependence of tolerance to tSCS on the shape of stimulating pulses, which involved volunteers (n = 12). The results of the developed pupillometry were compared with the pain rating scale traditionally used in such studies. The developed system is accurate in determining the pupil diameter, comparable to human accuracy. The pupillometry results reproduced those obtained using a subjective pain scale. This method was found to be a reliable method for recording nociceptive pupillary responses in electrophysiology.

Indexed as

Pain MeasurementPupilHumansNeural Networks, ComputerPainneural networkpain measurementpupillary diametertranscutaneous spinal cord stimulationvideo pupillometry

Identifiers

PMID42122468
PMCPMC13165936

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.