Article2017 IEEE Sensors Applications Symposium (SAS). IEEE Staff2017
Temperature and Humidity Calibration of a Low-Cost Wireless Dust Sensor for Real-Time Monitoring.
Article in 2017 IEEE Sensors Applications Symposium (SAS). IEEE Staff, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Biomass-fuelled improved cookstove intervention to prevent household air pollution in Northwest Ethiopia: a cluster randomized controlled trial.Environmental health and preventive medicine · 2021Trial
- Air quality dataset of particulate matter PM2.5 & PM10 from the monitoring network in Asuncion metropolitan area, Paraguay.Data in brief · 2026Article
- From a Low-Cost Air Quality Sensor Network to Decision Support Services: Steps towards Data Calibration and Service Development.Sensors (Basel, Switzerland) · 2021Article
- An Online Calibration Method Based on n-Tuple and Opportunistic Communication for Mine Mass Portable Gas Sensors.Sensors (Basel, Switzerland) · 2021Article
- Validating and Comparing Highly Resolved Commercial "Off the Shelf" PM Monitoring Sensors with Satellite Based Hybrid Models, for Improved Environmental Exposure Assessment.Sensors (Basel, Switzerland) · 2020Article
- A Review of Low-Cost Particulate Matter Sensors from the Developers' Perspectives.Sensors (Basel, Switzerland) · 2020Review
- Exploring Evaluation Variables for Low-Cost Particulate Matter Monitors to Assess Occupational Exposure.International journal of environmental research and public health · 2020Article
- Advantages and challenges of the implementation of a low-cost particulate matter monitoring system as a decision-making tool.Environmental monitoring and assessment · 2019Article
- Sources of Variability in Real-time Monitoring Data for Fine Particulate Matter: Comparability of Three Wearable Monitors in an Urban Setting.Environmental science & technology letters · 2019Article
- Towards an integrated framework for air quality monitoring and exposure estimation-a review.Environmental monitoring and assessment · 2018Review
- Wireless Sensor-Dependent Ecological Momentary Assessment for Pediatric Asthma mHealth Applications....IEEE...International Conference on Connected Health: Applications, Systems and Engineering Technologies. IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
This paper introduces the design, calibration, and validation of a low-cost portable sensor for the real-time measurement of dust particles within the environment. The proposed design consists of low hardware cost and calibration based on temperature and humidity sensing to achieve accurate processing of airborne dust density. Using commercial particulate matter sensors, a highly accurate air quality monitoring sensor was designed and calibrated using real world variations in humidity and temperature for indoor and outdoor applications. Furthermore, to provide a low-cost secure solution for real-time data transfer and monitoring, an onboard Bluetooth module with AES data encryption protocol was implemented. The wireless sensor was tested against a Dylos DC1100 Pro Air Quality Monitor, as well as an Alphasense OPC-N2 optical air quality monitoring sensor for accuracy. The sensor was also tested for reliability by comparing the sensor to an exact copy of itself under indoor and outdoor conditions. It was found that accurate measurements under real-world humid and temperature varying and dynamically changing conditions were achievable using the proposed sensor when compared to the commercially available sensors. In addition to accurate and reliable sensing, this sensor was designed to be wearable and perform real-time data collection and transmission, making it easy to collect and analyze data for air quality monitoring and real-time feedback in remote health monitoring applications. Thus, the proposed device achieves high quality measurements at lower-cost solutions than commercially available wireless sensors for air quality.
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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.