Trial reportProceedings of the National Academy of Sciences of the United States of America2021
Automated, multiparametric monitoring of respiratory biomarkers and vital signs in clinical and home settings for COVID-19 patients.
Trial report in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled 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.
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
53 citing papers in PubMed, 1 synthesis or guideline pooled it, 93 citations in OpenAlex.
- The performance of wearable sensors in the detection of SARS-CoV-2 infection: a systematic review.The Lancet. Digital health · 2022Pooled it
- Beyond fingerprint and voice print: cough sequence sound for identity verification.npj health systems · 2026Article
- Objective dyspnea measurement in real time using a forehead wearable and artificial intelligence.NPJ primary care respiratory medicine · 2026Article
- Short-term prediction of COPD exacerbations based on wearable vital sign monitoring.PLOS digital health · 2026Article
- Wireless, wearable elastography via mechano-acoustic wave sensing for ambulatory monitoring of tissue stiffness.Science advances · 2025Article
- Asthma Symptom Self-Monitoring Methods for Children and Adolescents: Present and Future.Children (Basel, Switzerland) · 2025Review
- Artificial Intelligence-Assisted Conductive Hydrogel Dressings for Refractory Wounds Monitoring.Nano-micro letters · 2025Review
- Deep learning-based cough classification using application-recorded sounds: a transfer learning approach with VGGish.BMC medical informatics and decision making · 2025Article
- Applications of flexible materials in health management assisted by machine learning.RSC advances · 2025Review
- A skin-interfaced wireless wearable device and data analytics approach for sleep-stage and disorder detection.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart Materials and Artificial Intelligence.Advanced materials (Deerfield Beach, Fla.) · 2025Review
- Digital health technology for Parkinson's disease with comprehensive monitoring and artificial intelligence-enabled haptic biofeedback for bulbar dysfunction.Journal of Parkinson's disease · 2025Article
- Multimodal deep ensemble classification system with wearable vibration sensor for detecting throat-related events.NPJ digital medicine · 2025Article
- Wearables and behavioral coding show promise for measuring and predicting severe emotional outbursts in children.Frontiers in digital health · 2025Article
- AI-boosted and motion-corrected, wireless near-infrared sensing system for continuously monitoring laryngeal muscles.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Measuring Real-World Talk Time and Locations of People With Aphasia Using Wearable Technology.American journal of speech-language pathology · 2024Article
- Sensory artificial cilia for in situ monitoring of airway physiological properties.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Wearable network for multilevel physical fatigue prediction in manufacturing workers.PNAS nexus · 2024Article
- 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
- AI-Assisted Detection of Biomarkers by Sensors and Biosensors for Early Diagnosis and Monitoring.Biosensors · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
27 authors at 5 institutions in 2 countries.
Funding
Abstract
Capabilities in continuous monitoring of key physiological parameters of disease have never been more important than in the context of the global COVID-19 pandemic. Soft, skin-mounted electronics that incorporate high-bandwidth, miniaturized motion sensors enable digital, wireless measurements of mechanoacoustic (MA) signatures of both core vital signs (heart rate, respiratory rate, and temperature) and underexplored biomarkers (coughing count) with high fidelity and immunity to ambient noises. This paper summarizes an effort that integrates such MA sensors with a cloud data infrastructure and a set of analytics approaches based on digital filtering and convolutional neural networks for monitoring of COVID-19 infections in sick and healthy individuals in the hospital and the home. Unique features are in quantitative measurements of coughing and other vocal events, as indicators of both disease and infectiousness. Systematic imaging studies demonstrate correlations between the time and intensity of coughing, speaking, and laughing and the total droplet production, as an approximate indicator of the probability for disease spread. The sensors, deployed on COVID-19 patients along with healthy controls in both inpatient and home settings, record coughing frequency and intensity continuously, along with a collection of other biometrics. The results indicate a decaying trend of coughing frequency and intensity through the course of disease recovery, but with wide variations across patient populations. The methodology creates opportunities to study patterns in biometrics across individuals and among different demographic groups.
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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.