Trial reportScientific reports2021
A novel automatic cough frequency monitoring system combining a triaxial accelerometer and a stretchable strain sensor.
Trial report in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis 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
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.
- Diagnostic Accuracy of Cough Frequency Monitors: A Systematic Review and Meta-Analysis.Respirology (Carlton, Vic.) · 2026Pooled it
- Stretchable and Self-Healable Acoustic Sensor for Fast Respiratory Diseases Identification Based on Biocompatible Piezoelectric Polyester Elastomer.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- A Flexible Capacitive Pressure Sensor with Broad-Range High Sensitivity Based on 3D Porous Ionogel for Wearable Health Monitoring.Micromachines · 2026Article
- Article
- Spatiotemporal Feature Learning for Daily-Life Cough Detection Using FMCW Radar.Bioengineering (Basel, Switzerland) · 2025Article
- Quantitative Assessment of Microsurgical Skill in Intrascleral Fixation Surgery Using Wearable Strain Sensors: A Pilot Study.Translational vision science & technology · 2025Article
- Cough recognition in pneumoconiosis patients based on a flexible patch with an embedded ACC sensor for remote monitoring.BMC medical informatics and decision making · 2025Article
- Development of a Miniaturized Mechanoacoustic Sensor for Continuous, Objective Cough Detection, Characterization and Physiologic Monitoring in Children With Cystic Fibrosis.IEEE journal of biomedical and health informatics · 2024Article
- Use of artificial intelligence to develop predictive algorithms of cough and PCR-confirmed COVID-19 infections based on inputs from clinical-grade wearable sensors.Scientific reports · 2024Article
- Feature evaluation of accelerometry signals for cough detection.Frontiers in digital health · 2024Article
- Soft Electronics for Health Monitoring Assisted by Machine Learning.Nano-micro letters · 2023Review
- Editorial: Breathing in sport and exercise: physiology, pathophysiology and applications.Frontiers in physiology · 2023Article
- Environment Knowledge-Driven Generic Models to Detect Coughs From Audio Recordings.IEEE open journal of engineering in medicine and biology · 2023Article
- Digital Phenotyping in Health Using Machine Learning Approaches: Scoping Review.JMIR bioinformatics and biotechnology · 2022Article
- An alternative approach to determination of Covid-19 personal risk index by using fuzzy logic.Health and technology · 2022Article
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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective evaluations of cough frequency are considered important for assessing the clinical state of patients with respiratory diseases. However, cough monitors with audio recordings are rarely used in clinical settings. Issues regarding privacy and background noise with audio recordings are barriers to the wide use of these monitors; to solve these problems, we developed a novel automatic cough frequency monitoring system combining a triaxial accelerator and a stretchable strain sensor. Eleven healthy adult volunteers and 10 adult patients with cough were enrolled. The participants wore two devices for 30 min for the cough measurements. An accelerator was attached to the epigastric region, and a stretchable strain sensor was worn around their neck. When the subjects coughed, these devices displayed specific waveforms. The data from all the participants were categorized into a training dataset and a test dataset. Using a variational autoencoder, a machine learning algorithm with deep learning, the components of the test dataset were automatically judged as being a "cough unit" or "non-cough unit". The sensitivity and specificity in detecting coughs were 92% and 96%, respectively. Our cough monitoring system has the potential to be widely used in clinical settings without any concerns regarding privacy or background noise.
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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.