Evidence map›Paper›PMID 29922478›Full record

ArticleHealthcare technology letters2018

Are ultra-short heart rate variability features good surrogates of short-term ones? State-of-the-art review and recommendations.

Leandro Pecchia, Rossana Castaldo, Luis Montesinos, Paolo Melillo

Abstract read
In one paragraph

Article in Healthcare technology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
–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

50 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

4 authors.

Leandro PecchiaSchool of Engineering, University of Warwick, Coventry, CV4 7AL, UK.
Rossana CastaldoSchool of Engineering, University of Warwick, Coventry, CV4 7AL, UK.
Luis MontesinosSchool of Engineering, University of Warwick, Coventry, CV4 7AL, UK.
Paolo MelilloThe Multidisciplinary Department of Medical, Surgical and Dental Sciences of the Second University of Naples, Naples, 80131, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultra-short heart rate variability (HRV) analysis refers to the study of HRV features in excerpts of length <5 min. Ultra-short HRV is widely growing in many healthcare applications for monitoring individual's health and well-being status, especially in combination with wearable sensors, mobile phones, and smart-watches. Long-term (nominally 24 h) and short-term (nominally 5 min) HRV features have been widely investigated, physiologically justified and clear guidelines for analysing HRV in 5 min or 24 h are available. Conversely, the reliability of ultra-short HRV features remains unclear and many investigations have adopted ultra-short HRV analysis without questioning its validity. This is partially due to the lack of accepted algorithms guiding investigators to systematically assess ultra-short HRV reliability. This Letter critically reviewed the existing literature, aiming to identify the most suitable algorithms, and harmonise them to suggest a standard protocol that scholars may use as a reference in future studies. The results of the literature review were surprising, because, among the 29 reviewed papers, only one paper used a rigorous method, whereas the others employed methods that were partially or completely unreliable due to the incorrect use of statistical tests. This Letter provides recommendations on how to assess ultra-short HRV features reliably and proposes an inclusive algorithm that summarises the state-of-the-art knowledge in this area.

Indexed as

electrocardiographyhealthcare applicationshealth monitoringHRVmedical signal processingmobile phonespatient monitoringshort-term heart rate variability featuressmart watchesstatistical analysisstatistical testsultrashort heart rate variability featureswearable sensors

Identifiers

PMID29922478
PMCPMC5998753

What Socratic 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 Socratic graph.