Evidence map›Paper›PMID 41301147›Full record

ReviewBioengineering (Basel, Switzerland)2025

Beyond the Sleep Lab: A Narrative Review of Wearable Sleep Monitoring.

Maria P Mogavero, Giuseppe Lanza, Oliviero Bruni, Luigi Ferini-Strambi, Alessandro Silvani, Ugo Faraguna, Raffaele Ferri

Abstract readReview
In one paragraph

Review in Bioengineering (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Observational
  8. Article
  9. Article
  10. Review
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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

7 authors.

Maria P MogaveroVita-Salute San Raffaele University, 20132 Milan, Italy.ORCID 0000-0001-6662-2281
Giuseppe LanzaOasi Research Institute-IRCCS, 94018 Troina, Italy.ORCID 0000-0002-5659-662X
Oliviero BruniDepartment of Human Neurosciences, Sapienza University, 00100 Rome, Italy.ORCID 0000-0003-2207-1398
Luigi Ferini-StrambiVita-Salute San Raffaele University, 20132 Milan, Italy.ORCID 0000-0003-2867-5424
Alessandro SilvaniDepartment of Biomedical and Neuromotor Science, University of Bologna, Ravenna Campus, 48100 Ravenna, Italy.ORCID 0000-0003-3992-3892
Ugo FaragunaDepartment of Translational Research and of New Surgical and Medical Technologies, University of Pisa, 56100 Pisa, Italy.ORCID 0000-0002-4814-7218
Raffaele FerriOasi Research Institute-IRCCS, 94018 Troina, Italy.ORCID 0000-0001-6937-3065

Funding

Italian Ministry of Health Grant RC 1.21
6 · The paper itself

Abstract

Sleep is a fundamental biological process essential for health and homeostasis. Traditionally investigated through laboratory-based polysomnography (PSG), sleep research has undergone a paradigm shift with the advent of wearable technologies that enable non-invasive, long-term, and real-world monitoring. This review traces the evolution from early analog and actigraphic methods to current multi-sensor and AI-driven wearable systems. We summarize major technological milestones, including the transition from movement-based to physiological and biochemical sensing, and the growing role of edge computing and deep learning in automated sleep staging. Comparative studies with PSG are discussed, alongside the strengths and limitations of emerging devices such as wristbands, rings, headbands, and camera-based systems. The clinical applications of wearable sleep monitors are examined in relation to remote patient management, personalized medicine, and large-scale population research. Finally, we outline future directions toward integrating multimodal biosensing, transparent algorithms, and standardized validation frameworks. By bridging laboratory precision with ecological validity, wearable technologies promise to redefine the gold standard for sleep monitoring, advancing both individualized care and population-level health assessment.

Indexed as

actigraphypolysomnographyremote patient monitoringsleep monitoring technologysleep stage classificationsleep trackerswearable sleep monitors

Identifiers

PMID41301147
PMCPMC12649296

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.