Evidence map›Paper›PMID 41977900›Full record

SynthesisSensors (Basel, Switzerland)2026

Investigation of Heart Rate Variability Indices in Motion Sickness.

Alfonso Maria Ponsiglione, Lorena Guerrini, Simona Pierucci, Vittorio Santoriello, Maria Romano, Marco Recenti, Hannes Petersen, Paolo Gargiulo, Carlo Ricciardi

Abstract readSystematic Review
In one paragraph

Synthesis 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

9 authors.

Alfonso Maria PonsiglioneDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, 80138 Naples, Italy.ORCID 0000-0003-1346-515X
Lorena GuerriniInstitute of Biomedical and Neural Engineering, Reykjavik University, 102 Reykjavík, Iceland.ORCID 0000-0002-6308-8981
Simona PierucciInstitute of Biomedical and Neural Engineering, Reykjavik University, 102 Reykjavík, Iceland.
Vittorio SantorielloDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, 80138 Naples, Italy.ORCID 0000-0002-3168-4682
Maria RomanoDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, 80138 Naples, Italy.
Marco RecentiInstitute of Biomedical and Neural Engineering, Reykjavik University, 102 Reykjavík, Iceland.ORCID 0000-0001-9440-8434
Hannes PetersenDepartment of Anatomy, School of Medicine, University of Iceland, 102 Reykjavík, Iceland.
Paolo GargiuloInstitute of Biomedical and Neural Engineering, Reykjavik University, 102 Reykjavík, Iceland.ORCID 0000-0002-5049-4817
Carlo RicciardiDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, 80138 Naples, Italy.ORCID 0000-0001-7290-6432

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motion sickness (MS), or kinetosis, is a condition experienced by some individuals in response to rhythmic or irregular body motion. Multiple studies have explored its neurobiological mechanisms and countermeasures, with the sensory-conflict hypothesis remaining the most accepted explanation. Heart-rate variability (HRV) and electrocardiography provide complementary autonomic nervous system perspectives that may support MS assessments. From an applied viewpoint, reliable HRV markers could enable the early detection and continuous monitoring of MS in real-world contexts, such as autonomous vehicles, where passenger comfort and safety are critical, motivating contact-free cardiac sensing for unobtrusive monitoring. This systematic review examines the value of HRV indices in MS, conducted under PRISMA guidelines across PubMed, Scopus, and the Web of Science. The included studies were grouped into four categories based on the methods used to induce MS: mechanical stimulus, real trip, visual stimulus, and virtual reality. Aggregated findings indicate that frequency-domain metrics, particularly the low frequency (LF)/high frequency (HF) ratio, HF power, and mean heart rate (mHR), are most frequently reported in relation to MS. Overall, autonomic dysregulation likely contributes to MS susceptibility, but standardized protocols are needed to validate HRV as a reliable marker.

Indexed as

Heart RateMotion SicknessAutonomic Nervous SystemElectrocardiographyHumansautonomic nervous systembiosignalsheart rate variabilitykinetosismotion sicknessvirtual reality

Identifiers

PMID41977900
PMCPMC13074661

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.