Evidence map›Paper›PMID 32498403›Full record

ArticleSensors (Basel, Switzerland)2020

Assessing the Quality of Heart Rate Variability Estimated from Wrist and Finger PPG: A Novel Approach Based on Cross-Mapping Method.

Mimma Nardelli, Nicola Vanello, Guenda Galperti, Alberto Greco, Enzo Pasquale Scilingo

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. A Study on Evaluating Cardiovascular Diseases Using PPG Signals.Bioengineering (Basel, Switzerland) · 2025
    Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Cardiodiagnostics Based on Photoplethysmographic Signals.Diagnostics (Basel, Switzerland) · 2022
    Article
  17. Article
  18. Non-Invasive Solutions to Identify Distinctions Between Healthy and Mild Cognitive Impairments Participants.IEEE journal of translational engineering in health and medicine · 2022
    Article
  19. Article
  20. 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

5 authors.

Mimma NardelliBioengineering and Robotics Research Centre E. Piaggio, University of Pisa, Pisa 56122, Italy.
Nicola VanelloBioengineering and Robotics Research Centre E. Piaggio, University of Pisa, Pisa 56122, Italy.ORCID 0000-0002-2312-6699
Guenda GalpertiDipartimento di Ingegneria dell'Informazione, University of Pisa, Pisa 56122, Italy.
Alberto GrecoBioengineering and Robotics Research Centre E. Piaggio, University of Pisa, Pisa 56122, Italy.
Enzo Pasquale ScilingoBioengineering and Robotics Research Centre E. Piaggio, University of Pisa, Pisa 56122, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The non-invasiveness of photoplethysmographic (PPG) acquisition systems, together with their cost-effectiveness and easiness of connection with IoT technologies, is opening up to the possibility of their widespread use. For this reason, the study of the reliability of PPG and pulse rate variability (PRV) signal quality has become of great scientific, technological, and commercial interest. In this field, sensor location has been demonstrated to play a crucial role. The goal of this study was to investigate PPG and PRV signal quality acquired from two body locations: finger and wrist. We simultaneously acquired the PPG and electrocardiographic (ECG) signals from sixteen healthy subjects (aged 28.5 ± 3.5, seven females) who followed an experimental protocol of affective stimulation through visual stimuli. Statistical tests demonstrated that PPG signals acquired from the wrist and the finger presented different signal quality indexes (kurtosis and Shannon entropy), with higher values for the wrist-PPG. Then we propose to apply the cross-mapping (CM) approach as a new method to quantify the PRV signal quality. We found that the performance achieved using the two sites was significantly different in all the experimental sessions (

Indexed as

FingersHeart RatePhotoplethysmographyWristAdultElectrocardiographyFemaleHumansMaleReproducibility of ResultsSignal Processing, Computer-Assistedcross-mappingheart rate variability (HRV)kurtosisphase space reconstructionphotoplethysmographic (PPG) signalpulse rate variability (PRV)Shannon entropysignal quality indexeswearable monitoring systems.

Identifiers

PMID32498403
PMCPMC7309104

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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.