ArticleScience advances2022
Fully portable continuous real-time auscultation with a soft wearable stethoscope designed for automated disease diagnosis.
Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
What it found
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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.
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Who cites it
53 citing papers in PubMed, 112 citations in OpenAlex.
- All-fiber wireless auscultation garment for cardiopulmonary diagnostics.Nature cardiovascular research · 2026Article
- Broadband wearable acoustic sensing for continuous cardiopulmonary monitoring.Microsystems & nanoengineering · 2026Article
- Inkjet-Printed Aqueous Graphene Suspensions on Flexible Substrates for Multimodal Wearable Continuous Health Monitoring.ACS nanoscience Au · 2026Article
- Wearable Electronics for Precision Diagnosis Through Advanced Manufacturing and Integration.Nano-micro letters · 2026Review
- Advances and Challenges in Wearable Sensors for Health Monitoring.ACS applied materials & interfaces · 2026Review
- Wearable, broadband auscultation patch with cantilever pressure transducer for remote healthcare monitoring.Nature communications · 2026Article
- Low-Effort Respiratory Function Estimation with a Soft Wearable Digital Spirometry Patch.Biosensors · 2026Article
- Design and Fabrication of a Chitosan-Based Diaphragm Digital Stethoscope for Heart Sound Acquisition.Micromachines · 2026Article
- From Fixed-Frequency to Tunable: Advances in Acoustic Sensors for Physiological Acoustic Monitoring.Sensors (Basel, Switzerland) · 2026Review
- Ultrasensitive soft vibration sensors based on atomically thin metal dichalcogenide ribbon networks.Science advances · 2026Article
- Wearable bioelectronics for skin cancer management.Biomaterials · 2026Review
- Noninvasive prescreening of pediatric adenoid hypertrophy using quantified MFCC statistics and clinical features: development and external validation.Frontiers in bioengineering and biotechnology · 2026Article
- Advances in Photonic Materials and Integrated Devices for Smart and Digital Healthcare: Bridging the Gap Between Materials and Systems.Advanced materials (Deerfield Beach, Fla.) · 2025Review
- Construction and Validation of an Automatic Segmentation Method for Respiratory Sound Time Labels.The clinical respiratory journal · 2025Article
- Diaphragm Design for an Electret Microphone Stethoscope.IEEE sensors journal · 2025Article
- Materials Advances in Devices for Heart Disease Interventions.Advanced materials (Deerfield Beach, Fla.) · 2025Review
- Ensemble learning for biomedical signal classification: a high-accuracy framework using spectrograms from percussion and palpation.Scientific reports · 2025Article
- Applications of flexible materials in health management assisted by machine learning.RSC advances · 2025Review
- Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart Materials and Artificial Intelligence.Advanced materials (Deerfield Beach, Fla.) · 2025Review
- A MEMS seismometer respiratory monitor for work of breathing assessment and adventitious lung sounds detection via deep learning.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Modern auscultation, using digital stethoscopes, provides a better solution than conventional methods in sound recording and visualization. However, current digital stethoscopes are too bulky and nonconformal to the skin for continuous auscultation. Moreover, motion artifacts from the rigidity cause friction noise, leading to inaccurate diagnoses. Here, we report a class of technologies that offers real-time, wireless, continuous auscultation using a soft wearable system as a quantitative disease diagnosis tool for various diseases. The soft device can detect continuous cardiopulmonary sounds with minimal noise and classify real-time signal abnormalities. A clinical study with multiple patients and control subjects captures the unique advantage of the wearable auscultation method with embedded machine learning for automated diagnoses of four types of lung diseases: crackle, wheeze, stridor, and rhonchi, with a 95% accuracy. The soft system also demonstrates the potential for a sleep study by detecting disordered breathing for home sleep and apnea detection.
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.