Evidence map›Paper›PMID 24426823›Full record

ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2014

Monitoring sound to quantify snoring and sleep apnea severity using a smartphone: proof of concept.

Hiroshi Nakano, Kenji Hirayama, Yumiko Sadamitsu, Ayaka Toshimitsu, Hisayuki Fujita, Shizue Shin, Takeshi Tanigawa

Abstract readComment
In one paragraph

Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 7 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

60 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. How to objectively measure snoring: a systematic review.Sleep & breathing = Schlaf & Atmung · 2024
    Pooled it
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  5. Digital Health and Sleep-Disordered Breathing: A Systematic Review and Meta-Analysis.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2018
    Pooled it
  6. Acoustic Analysis of Snoring in the Diagnosis of Obstructive Sleep Apnea Syndrome: A Call for More Rigorous Studies.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2015
    Pooled it
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  8. Atomoxetine plus oxybutynin for symptomatic snoring and airflow limitation in individuals without moderate-to-severe obstructive sleep apnea.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
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  11. Engineering Triboelectric Paper for Energy Harvesting and Smart Sensing.Advanced materials (Deerfield Beach, Fla.) · 2025
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  14. Public engagement with consumer sleep technology for obstructive sleep apnea screening: implications for equity, access, and practice.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Hiroshi NakanoSleep Disorders Center, Fukuoka National Hospital, Fukuoka City, Japan.
Kenji HirayamaSleep Disorders Center, Fukuoka National Hospital, Fukuoka City, Japan.
Yumiko SadamitsuSleep Disorders Center, Fukuoka National Hospital, Fukuoka City, Japan.
Ayaka ToshimitsuSleep Disorders Center, Fukuoka National Hospital, Fukuoka City, Japan.
Hisayuki FujitaSleep Disorders Center, Fukuoka National Hospital, Fukuoka City, Japan.
Shizue ShinSleep Disorders Center, Fukuoka National Hospital, Fukuoka City, Japan.
Takeshi TanigawaDepartment of Public Health, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesHabitual snoring is a prevalent condition that is not only a marker of obstructive sleep apnea (OSA) but can also lead to vascular risk. However, it is not easy to check snoring status at home. We attempted to develop a snoring sound monitor consisting of a smartphone alone, which is aimed to quantify snoring and OSA severity.

methodsThe subjects included 50 patients who underwent diagnostic polysomnography (PSG), of which the data of 10 patients were used for developing the program and that of 40 patients were used for validating the program. A smartphone was attached to the anterior chest wall over the sternum. It acquired ambient sound from the built-in microphone and analyzed it using a fast Fourier transform on a real-time basis.

resultsSnoring time measured by the smartphone highly correlated with snoring time measured by PSG (r = 0.93). The top 1 percentile value of sound pressure level (L1) determined by the smartphone correlated with the ambient sound L1 during sleep determined by PSG (r = 0.92). Moreover, the respiratory disturbance index estimated by the smartphone (smart-RDI) highly correlated with the apnea-hypopnea index (AHI) obtained by PSG (r = 0.94). The diagnostic sensitivity and specificity of the smart-RDI for diagnosing OSA (AHI ≥ 15) were 0.70 and 0.94, respectively.

conclusionsA smartphone can be used for effectively monitoring snoring and OSA in a controlled laboratory setting. Use of this technology in a noisy home environment remains unproven, and further investigation is needed.

Indexed as

Mobile ApplicationsHumansSleep Apnea, Obstructivehome monitoringobstructive sleep apneasmartphoneSnoring

Identifiers

PMID24426823
PMCPMC3869073

What OpenQuestion holds

Textmetadata
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.