ArticleERJ open research2023
Validation of a small cough detector.
Article in ERJ open research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.
- Diagnostic Accuracy of Cough Frequency Monitors: A Systematic Review and Meta-Analysis.Respirology (Carlton, Vic.) · 2026Pooled it
- Cough biomarkers for diagnosis and monitoring of respiratory disease: a systematic review.European respiratory review : an official journal of the European Respiratory Society · 2026Pooled it
- Article
- Cough in Interstitial Lung Disease: Current Knowledge and Research Gaps.Pulmonary therapy · 2026Review
- Beyond fingerprint and voice print: cough sequence sound for identity verification.npj health systems · 2026Article
- Measuring the effect of azithromycin in chronic respiratory disease using continuous cough monitoring: an open-label exploratory trial.ERJ open research · 2026Article
- Objective Assessment of the Cough: Listening to the Patient's Voice. A Narrative Review.Tuberculosis and respiratory diseases · 2026Article
- The value of continuous cough monitoring: a narrative review.Journal of thoracic disease · 2025Review
- Asthma Symptom Self-Monitoring Methods for Children and Adolescents: Present and Future.Children (Basel, Switzerland) · 2025Review
- Nighttime Cough Characteristics in Chronic Obstructive Pulmonary Disease Patients.Sensors (Basel, Switzerland) · 2025Article
- Cough frequency has a high daily variation in patients with chronic cough.ERJ open research · 2025Article
- Automated Cough Analysis with Convolutional Recurrent Neural Network.Bioengineering (Basel, Switzerland) · 2024Article
- Decoding the impact of the placebo response in clinical trials for chronic cough.ERJ open research · 2024Article
- Chronic cough: symptom, sign or disease?ERJ open research · 2024Article
- Article
- Measuring cough: what really matters?Journal of thoracic disease · 2023Review
- Patient and healthcare professional perspectives on telehealth in the care of interstitial lung disease.Chronic respiratory diseaseArticle
- Treatable traits in interstitial lung disease: a narrative review.Therapeutic advances in respiratory diseaseReview
- Cough sound spectro-temporal analysis and automated detection using Vision Transformers.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Research question: The assessment of cough frequency in clinical practice relies predominantly on the patient's history. Currently, objective evaluation of cough is feasible with bulky equipment during a brief time ( Methods: We recorded cough epochs with SIVA-P3 over eight consecutive days in patients suffering from chronic cough. During the first 24 h, the detector was validated against cough events counted by trained human listeners. The wearing comfort and the device usage were assessed using a questionnaire. Results: In total, 27 participants (mean±sd age 50±14 years) with either chronic unexplained cough (n=12), COPD (n=4), asthma (n=5) or interstitial lung disease (n=6) were studied. During the daytime, the sensitivity of SIVA-P3 cough detection was 88.5±2.49% and the specificity was 99.97±0.01%. During the night-time, the sensitivity was 84.15±5.04% and the specificity was 99.97±0.02%. The wearing comfort and usage of the device was rated as very high by most participants. Conclusion: SIVA-P3 enables automatic continuous cough monitoring in an outpatient setting for objective assessment of cough over days and weeks. It shows comparable sensitivity or higher sensitivity than other devices with fully automatic cough counting. Thanks to its wearing comfort and the high performance for cough detection, it has the potential for being used in routine clinical practice.
Identifiers
What OpenQuestion holds
Registered trials
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.