ArticleBiosensors & bioelectronics2020
Respiration pattern recognition by wearable mask device.
Article in Biosensors & bioelectronics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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
8 citing papers in PubMed.
- Self-Powered Triboelectric Biofluid Sensors for Early Disease Screening and Diagnosis: A Review.Nanomaterials (Basel, Switzerland) · 2026Review
- Portable Breathing Monitoring With Phase-Resolved Airflow Dynamics Enabled by a Dual-Response Flexible PZT Sensor.Advanced healthcare materials · 2026Article
- Predicting Minute Ventilation from Heart Rate in Adolescents: A Tool for Environmental Health Studies.Environments (Basel, Switzerland) · 2025Article
- Industry 4.0-Compliant Occupational Chronic Obstructive Pulmonary Disease Prevention: Literature Review and Future Directions.Sensors (Basel, Switzerland) · 2024Review
- Towards breath sensors that are self-powered by design.Royal Society open science · 2022Article
- Portable Respiration Monitoring System with an Embroidered Capacitive Facemask Sensor.Biosensors · 2022Article
- Mitigation of Data Packet Loss in Bluetooth Low Energy-Based Wearable Healthcare Ecosystem.Biosensors · 2021Article
- A Blockchain-Enabled Framework for mHealth Systems.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Compared to heart rate, body temperature and blood pressure, respiratory rate is the vital sign that has been often overlooked, largely due to the lack of easily accessible tool for reliable and natural respiration monitoring. To address this unmet need, we designed and built a wearable, stand-alone, fully integrated mask device for accurate tracking of respiration in free-living conditions. The wearable mask device can provide comprehensive respiration information in a wearable and wireless manner. It can not only accurately measure respiratory rate, tidal volume, respiratory minute volume, and peak flow rate but also recognize unique respiration pattern of the subject via Principle Component Analysis (PCA) algorithms. The reported wearable mask device and respiratory pattern recognition algorithms could be widely used in routine clinical examination, lung function assessment, asthma and chronic obstructive pulmonary disease (COPD) management, metabolic rate measurement, capnography, spirometry, sleep pattern analysis, and biometrics.
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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.