Radon is a radioactive gas which is naturally occurring in soil and can accumulate to concentrated levels inside homes and buildings. Exposure to elevated levels of radon leads to an increased risk of developing lung cancer. In recent years there has been a rise in the popularity of consumer-grade electronic radon monitors. The monitors are appealing to homeowners due to the ease of use and the ability to keep track of radon levels during the process of conducting a radon test. However, there is currently no independent process to evaluate the relative performance of these monitors against known levels of radon. In this study, three sample units of six different models representing three different manufacturers of consumer-grade electronic radon monitors were exposed to three different levels of radon in a controlled environment to evaluate their precision and accuracy. Two separate tests were conducted at the Canadian guideline level to accommodate for 'indoor winter' and 'summer' conditions. The purpose of the study was to compare the performance of the different consumer-grade electronic radon monitors and determine which factors should be considered when using these monitors to inform mitigation decisions. The monitors had a range of uncertainty from 2%-15% with a range of precision from 1%-24%. The monitors performed better at higher radon levels than at levels near the Canadian guideline level of 200 Bq m, and slightly better during 'summer' conditions than during 'indoor winter' conditions. While the monitors provide homeowners with a very specific number indicating their radon level, it was noted that this number should be considered with respect to a 'confidence ratio' or 'range' which could be done through a publicly available online tool which could provide the radon level range for a given radon level and device grade.
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http://dx.doi.org/10.1088/1361-6498/ab96d6 | DOI Listing |
Food Chem Toxicol
December 2024
Department of Environmental Science, Baylor University, Waco, TX, 76712, USA. Electronic address:
Originally developed to conserve natural resources, plastic has become a global pollution issue due to inadequate waste management. The dispersion and weathering of plastic waste in the environment generate micro-sized particles. Despite extensive research on the toxicological effects of pristine polymers, the impact of microplastics (MPs) from consumer plastics is poorly understood.
View Article and Find Full Text PDFSci Rep
December 2024
Abbott Neuromodulation, Plano, TX, USA.
Digital health tools are emerging as a promising solution for optimizing Deep Brain Stimulation (DBS) therapy for neurodegenerative diseases such as Parkinson's Disease (PD), addressing challenges of therapy maintenance, care access, and discrete assessments. Wearable technology and mobile health platforms can offer remote monitoring capabilities, allowing for real-time virtual programming with optimization of patients' therapy, use of digital biomarkers that can help identify the onset, symptoms, medication-related fluctuations and side-effects, and response to DBS treatment. Through an investigational remote monitoring application (RM app) integrating patient-reported outcomes (PROs) and objective data using wearables, we aimed to develop an accessible, data-driven digital tool to monitor patient symptoms and deliver low-burden and easy-to-access DBS therapy.
View Article and Find Full Text PDFComput Biol Med
January 2025
Institute of Biomedical Engineering, University of Montreal, Montreal, QC, Canada; Department of Computer Engineering and Software Engineering, Polytechnique Montreal, Montreal, QC, Canada.
Biomechanical biofeedback may enhance rehabilitation and provide clinicians with more objective task evaluation. These feedbacks often rely on expensive motion capture systems (∼$100000), which restricts their widespread use, leading to the development of computer vision-based methods. These methods are subject to large joint angle errors, considering the upper limb, and exclude the scapula and clavicle motion in the analysis.
View Article and Find Full Text PDFJ Biol Rhythms
December 2024
Department of Mathematics, University of Michigan, Ann Arbor, Michigan, USA.
Wearable devices have become commonplace tools for tracking behavioral and physiological parameters in real-world settings. Nonetheless, the practical utility of these data for clinical and research applications, such as sleep analysis, is hindered by their noisy, large-scale, and multidimensional characteristics. Here, we develop a neural network algorithm that predicts sleep stages by tracking topological features (TFs) of wearable data and model-driven clock proxies (CPs) reflecting the circadian propensity for sleep.
View Article and Find Full Text PDFBMJ Open
November 2024
Department of Surgery and Cancer, Imperial College London, London, UK.
Objectives: To evaluate whether commercially available 'off-the-shelf' wearable technology can improve patient rehabilitation outcomes, and to categorise all wearables currently being used to augment rehabilitation, including the disciplines and conditions under investigation.
Design: Systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis 2020 statement checklist, and using the Grading of Recommendations, Assessment, Development and Evaluation approach.
Data Sources: Embase, MEDLINE, Web of Science and the Cochrane Library were searched up to and including July 2023.
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