Evidence map›Paper›PMID 30936820›Full record

ArticleFrontiers in neuroscience2019

Validation of 'Somnivore', a Machine Learning Algorithm for Automated Scoring and Analysis of Polysomnography Data.

Giancarlo Allocca, Sherie Ma, Davide Martelli, Matteo Cerri, Flavia Del Vecchio, Stefano Bastianini, Giovanna Zoccoli, Roberto Amici, Stephen R Morairty, Anne E Aulsebrook and 13 more

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Trial
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  4. Sleep-Wake Transitions Are Impaired in thebioRxiv : the preprint server for biology · 2025
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  8. Contribution of basal ganglia activity to REM sleep disorder in Parkinson's disease.Journal of neurology, neurosurgery, and psychiatry · 2024
    Article
  9. Seasonal variation in sleep time: jackdaws sleep when it is dark, but do they really need it?Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2024
    Article
  10. Article
  11. Article
  12. An EEG Signature of MCH Neuron Activities Predicts Cocaine Seeking.bioRxiv : the preprint server for biology · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
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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

23 authors.

Giancarlo AlloccaThe Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia.
Sherie MaThe Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia.
Davide MartelliThe Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia.
Matteo CerriLaboratory of Autonomic and Behavioral Physiology, Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
Flavia Del VecchioLaboratory of Autonomic and Behavioral Physiology, Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
Stefano BastianiniPRISM Laboratory, Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
Giovanna ZoccoliPRISM Laboratory, Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
Roberto AmiciLaboratory of Autonomic and Behavioral Physiology, Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
Stephen R MorairtyCenter for Neuroscience, Biosciences Division, SRI International, Menlo Park, CA, United States.
Anne E AulsebrookSchool of BioSciences, The University of Melbourne, Parkville, VIC, Australia.
Shaun BlackburnSchool of Life Sciences, La Trobe University, Bundoora, VIC, Australia.
John A LeskuSchool of Life Sciences, La Trobe University, Bundoora, VIC, Australia.
Niels C RattenborgAvian Sleep Group, Max Planck Institute for Ornithology, Seewiesen, Germany.
Alexei L VyssotskiInstitute of Neuroinformatics, University of Zurich and ETH Zurich, Zurich, Switzerland.
Emma WamsThe Sleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Kate PorcheretThe Sleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Katharina WulffThe Sleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Russell FosterThe Sleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Julia K M ChanMelbourne School of Psychological Sciences, The University of Melbourne, Parkville, VIC, Australia.
Christian L NicholasMelbourne School of Psychological Sciences, The University of Melbourne, Parkville, VIC, Australia.
Dean R FreestoneDepartment of Medicine, St. Vincent's Hospital, The University of Melbourne, Fitzroy, VIC, Australia.
Leigh A JohnstonBiomedical Engineering, The University of Melbourne, Parkville, VIC, Australia.
Andrew L GundlachThe Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Manual scoring of polysomnography data is labor-intensive and time-consuming, and most existing software does not account for subjective differences and user variability. Therefore, we evaluated a supervised machine learning algorithm, Somnivore

Indexed as

machine learning algorithmspolysomnographysignal processing algorithmssleep stage classificationwake–sleep stage scoring

Identifiers

PMID30936820
PMCPMC6431640

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.