Evidence map›Paper›PMID 36501978›Full record

ArticleSensors (Basel, Switzerland)2022

Analysis of Physiological Responses during Pain Induction.

Raquel Sebastião, Ana Bento, Susana Brás

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 16% of its field
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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

3 authors at 1 institution in 1 country.

Raquel SebastiãoIEETA, DETI, LASI, University of Aveiro, 3810-193 Aveiro, Portugal.ORCID 0000-0001-5717-1415
Ana BentoDFis, University of Aveiro, 3810-193 Aveiro, Portugal.
Susana BrásIEETA, DETI, LASI, University of Aveiro, 3810-193 Aveiro, Portugal.ORCID 0000-0001-8650-9219
University of Aveiro · PT

Funding

Fundação para a Ciência e Tecnologia IEETA/UA R&D unit (UIDB/00127/2020)Fundação para a Ciência e Tecnologia In the scope of the framework contract foreseen in the numbers 4, 5, and 6 of the article 23, of the Decree-Law 57/2016, of August 29, changed by Law 57/2017, of July 19Fundação para a Ciência e Tecnologia Scientific Employment Stimulus - Individual Call - CEECIND/03986/2018
6 · The paper itself

Abstract

Pain is a complex phenomenon that arises from the interaction of multiple neuroanatomic and neurochemical systems with several cognitive and affective processes. Nowadays, the assessment of pain intensity still relies on the use of self-reports. However, recent research has shown a connection between the perception of pain and exacerbated stress response in the Autonomic Nervous System. As a result, there has been an increasing analysis of the use of autonomic reactivity with the objective to assess pain. In the present study, the methods include pre-processing, feature extraction, and feature analysis. For the purpose of understanding and characterizing physiological responses of pain, different physiological signals were, simultaneously, recorded while a pain-inducing protocol was performed. The obtained results, for the electrocardiogram (ECG), showed a statistically significant increase in the heart rate, during the painful period compared to non-painful periods. Additionally, heart rate variability features demonstrated a decrease in the Parasympathetic Nervous System influence. The features from the electromyogram (EMG) showed an increase in power and contraction force of the muscle during the pain induction task. Lastly, the electrodermal activity (EDA) showed an adjustment of the sudomotor activity, implying an increase in the Sympathetic Nervous System activity during the experience of pain.

Indexed as

Autonomic Nervous SystemSympathetic Nervous SystemElectrocardiographyHeart RateHumansPainautonomic nervous system (ANS)cold pressor task (CPT)pain assessmentpain inductionphysiological signalssignal analysissignal processing

Identifiers

PMID36501978
PMCPMC9738626
OpenAlexW4310990213

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.