ArticleSensors (Basel, Switzerland)2017
Design of Wearable Breathing Sound Monitoring System for Real-Time Wheeze Detection.
Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- A wearable eddy current based pulmonary function sensor for continuous non-contact point-of-care monitoring during the COVID-19 pandemic.Scientific reports · 2021Trial
- Multi-Level Perception Systems in Fusion of Lifeforms: Classification, Challenges and Future Conceptions.Sensors (Basel, Switzerland) · 2026Review
- Enhanced Respiratory Sound Classification Using Deep Learning and Multi-Channel Auscultation.Journal of clinical medicine · 2025Article
- Voice analytics in the wild: Validity and predictive accuracy of common audio-recording devices.Behavior research methods · 2024Article
- Breath Measurement Method for Synchronized Reproduction of Biological Tones in an Augmented Reality Auscultation Training System.Sensors (Basel, Switzerland) · 2024Article
- Advances in Respiratory Monitoring: A Comprehensive Review of Wearable and Remote Technologies.Biosensors · 2024Review
- MEMS piezoelectric resonant microphone array for lung sound classification.Journal of micromechanics and microengineering : structures, devices, and systems · 2023Article
- Biocompatible and Long-Term Monitoring Strategies of Wearable, Ingestible and Implantable Biosensors: Reform the Next Generation Healthcare.Sensors (Basel, Switzerland) · 2023Review
- Acoustic Wake-Up Technology for Microsystems: A Review.Micromachines · 2023Review
- Article
- Review
- Non-Contact Breathing Monitoring Using Sleep Breathing Detection Algorithm (SBDA) Based on UWB Radar Sensors.Sensors (Basel, Switzerland) · 2022Article
- Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method.Computers in biology and medicine · 2022Article
- Fully portable continuous real-time auscultation with a soft wearable stethoscope designed for automated disease diagnosis.Science advances · 2022Article
- QUCoughScope: An Intelligent Application to Detect COVID-19 Patients Using Cough and Breath Sounds.Diagnostics (Basel, Switzerland) · 2022Article
- A novel system that continuously visualizes and analyzes respiratory sounds to promptly evaluate upper airway abnormalities: a pilot study.Journal of clinical monitoring and computing · 2022Article
- Covid-19 recognition from cough sounds using lightweight separable-quadratic convolutional network.Biomedical signal processing and control · 2022Article
- Complex-Valued Wavelet Spectrum Analysis of Respiratory Conditions and Its Feasibility in the Detection of Low-Functional Respiration.Healthcare (Basel, Switzerland) · 2021Article
- Contact and Remote Breathing Rate Monitoring Techniques: A Review.IEEE sensors journal · 2021Article
- Detection of pathological mechano-acoustic signatures using precision accelerometer contact microphones in patients with pulmonary disorders.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the clinic, the wheezing sound is usually considered as an indicator symptom to reflect the degree of airway obstruction. The auscultation approach is the most common way to diagnose wheezing sounds, but it subjectively depends on the experience of the physician. Several previous studies attempted to extract the features of breathing sounds to detect wheezing sounds automatically. However, there is still a lack of suitable monitoring systems for real-time wheeze detection in daily life. In this study, a wearable and wireless breathing sound monitoring system for real-time wheeze detection was proposed. Moreover, a breathing sounds analysis algorithm was designed to continuously extract and analyze the features of breathing sounds to provide the objectively quantitative information of breathing sounds to professional physicians. Here, normalized spectral integration (NSI) was also designed and applied in wheeze detection. The proposed algorithm required only short-term data of breathing sounds and lower computational complexity to perform real-time wheeze detection, and is suitable to be implemented in a commercial portable device, which contains relatively low computing power and memory. From the experimental results, the proposed system could provide good performance on wheeze detection exactly and might be a useful assisting tool for analysis of breathing sounds in clinical diagnosis.
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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.