Multisensory home-monitoring in individuals with stable COPD and Asthma: a usability study of the CAir-Desk (Preprint)

BACKGROUND Research integrating multisensory home-monitoring in respiratory disease is scarce. Therefore, we created a novel multisensory home-monitoring device tailored for long-term respiratory disease management (named the CAir-Desk). We hypothesize that recent technological accomplishments can be integrated into a multisensory participant-driven platform. We also believe that this platform could improve chronic disease management, and be accessible to large groups at an acceptable cost. OBJECTIVE To report on user-adherence and acceptance, as well as system functionality of the CAir-Desk in a sample of participants with stable COPD or Asthma. METHODS We conducted an observational usability study. Participants participated in 4 weeks of home-monitoring with the CAir-Desk. The CAir-Desk recorded data from all participants on symptom burden, physical activity, spirometry, and environmental air-quality; data on sputum production, and nocturnal cough was only recorded in participants experiencing the symptoms. After the study period, participants reported on their perceptions of the monitoring device usability through a purpose-designed questionnaire. We used descriptive statistics and visualizations to display results. RESULTS Ten participants, 5 with COPD and 5 with Asthma took part in this study. They completed symptom burden questionnaires on 96 (14, 96)%, spirometry recordings on 55 (20, 94)%, wrist-worn physical activity recordings on 100 (97, 100)%, arm-worn physical activity recordings on 45 (13, 63)%, nocturnal cough recordings on 34 (9, 54)%, sputum recordings on 5 (3, 12)%, and environmental air-quality recordings on 100 (99, 100)% of the study days. The participants indicated that the measurements consumed 13 (10, 15) min daily, and that they preferred the wrist-worn over the arm-worn physical activity monitor. CONCLUSIONS The CAir-Desk showed good technical performance and was well-accepted by our sample of stable COPD and Asthma participants. The obtained insights were used in a redesign of the CAir-Desk, which is currently applied in a RCT including an interventional program. CLINICALTRIAL NA

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Spatial and Temporal Characteristics of Environmental Air Quality and Its Relationship with Seasonal Climatic Conditions in Eastern China during 2015–2018

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18094524 ◽

2021 ◽

Vol 18 (9) ◽

pp. 4524

Author(s):

Zhiyuan Wang ◽

Xiaoyi Shi ◽

Chunhua Pan ◽

Sisi Wang

Keyword(s):

Particulate Matter ◽

Air Quality ◽

Air Pollutants ◽

Large Scale ◽

Asian Summer Monsoon ◽

Eastern China ◽

Climatic Conditions ◽

Uniform Structure ◽

Concentration Limit ◽

Environmental Air

Exploring the relationship between environmental air quality (EAQ) and climatic conditions on a large scale can help better understand the main distribution characteristics and the mechanisms of EAQ in China, which is significant for the implementation of policies of joint prevention and control of regional air pollution. In this study, we used the concentrations of six conventional air pollutants, i.e., carbon monoxide (CO), sulfur dioxide (SO2), nitrogen dioxide (NO2), fine particulate matter (PM2.5), coarse particulate matter (PM10), and ozone (O3), derived from about 1300 monitoring sites in eastern China (EC) from January 2015 to December 2018. Exploiting the grading concentration limit (GB3095-2012) of various pollutants in China, we also calculated the monthly average air quality index (AQI) in EC. The results show that, generally, the EAQ has improved in all seasons in EC from 2015 to 2018. In particular, the concentrations of conventional air pollutants, such as CO, SO2, and NO2, have been decreasing year by year. However, the concentrations of particulate matter, such as PM2.5 and PM10, have changed little, and the O3 concentration increased from 2015 to 2018. Empirical mode decomposition (EOF) was used to analyze the major patterns of AQI in EC. The first mode (EOF1) was characterized by a uniform structure in AQI over EC. These phenomena are due to the precipitation variability associated with the East Asian summer monsoon (EASM), referred to as the “summer–winter” pattern. The second EOF mode (EOF2) showed that the AQI over EC is a north–south dipole pattern, which is bound by the Qinling Mountains and Huaihe River (about 35° N). The EOF2 is mainly caused by seasonal variations of the mixed concentration of PM2.5 and O3. Associated with EOF2, the Mongolia–Siberian High influences the AQI variation over northern EC by dominating the low-level winds (10 m and 850 hPa) in autumn and winter, and precipitation affects the AQI variation over southern EC in spring and summer.

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Development of an IoT-based Real-Time Air Quality Monitoring Device

2020 International Conference on Communication and Signal Processing (ICCSP) ◽

10.1109/iccsp48568.2020.9182330 ◽

2020 ◽

Author(s):

Bikash Kumar Moharana ◽

Prateek Anand ◽

Sarvesh Kumar ◽

Prakash Kodali

Keyword(s):

Air Quality ◽

Real Time ◽

Quality Monitoring ◽

Monitoring Device ◽

Air Quality Monitoring

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Assessing Sleepiness and Sleep Disorders in Australian Long-Distance Commercial Vehicle Drivers: Self-Report Versus an “At Home” Monitoring Device

SLEEP ◽

10.5665/sleep.1726 ◽

2012 ◽

Vol 35 (4) ◽

pp. 469-475 ◽

Cited By ~ 26

Author(s):

Lisa N. Sharwood ◽

Jane Elkington ◽

Mark Stevenson ◽

Ronald R. Grunstein ◽

Lynn Meuleners ◽

...

Keyword(s):

Sleep Disorders ◽

Commercial Vehicle ◽

Home Monitoring ◽

Self Report ◽

Monitoring Device ◽

Long Distance ◽

At Home

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IoT-enabled air quality monitoring device: A low cost smart health solution

2016 IEEE Global Humanitarian Technology Conference (GHTC) ◽

10.1109/ghtc.2016.7857352 ◽

2016 ◽

Cited By ~ 10

Author(s):

Akshata Tapashetti ◽

Divya Vegiraju ◽

Tokunbo Ogunfunmi

Keyword(s):

Air Quality ◽

Low Cost ◽

Quality Monitoring ◽

Monitoring Device ◽

Air Quality Monitoring ◽

Smart Health

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Efficient Environmental Air Quality Evaluation Scheme Based on the Fuzzy Mathematics Method

Lecture Notes in Electrical Engineering - Informatics and Management Science III ◽

10.1007/978-1-4471-4790-9_84 ◽

2012 ◽

pp. 645-651 ◽

Cited By ~ 1

Author(s):

An Li ◽

Jiyan Liu

Keyword(s):

Air Quality ◽

Quality Evaluation ◽

Fuzzy Mathematics ◽

Evaluation Scheme ◽

Environmental Air ◽

Mathematics Method

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Time Series Analysis of the Pollutants Imissions in Urban Areas

Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca Agriculture ◽

10.15835/buasvmcn-agr:4204 ◽

1970 ◽

Vol 66 (2) ◽

Author(s):

Carmen Leane NICOLESCU ◽

Daniel DUNEA ◽

Virgil MOISE ◽

Gabriel GORGHIU

Keyword(s):

Time Series ◽

Air Quality ◽

Urban Areas ◽

Linear Trend ◽

Moving Average ◽

Quality Parameters ◽

Temporal And Spatial Distribution ◽

Simple Exponential Smoothing ◽

Environmental Air ◽

Local Agencies

Environmental pollution of urban areas is one of the key factors that local agencies and authorities have to consider in the decision-making process. To succeed a sustainable management of the environment, there is necessary to use different kinds of instruments in order to evaluate and forecast the evolution of the environmental state. Understanding temporal and spatial distribution of air quality is essential in making decisions for regional management. In this paper a model for urban air quality forecasting using time series of monthly averages concentrations is presented. Sedimentable dusts (SD), total suspended particulates (TSP), nitrogen dioxide (NO2), and sulfur dioxide (SO2), imissions, recorded between 1995 and 2008 in the urban area of Târgovişte city are used as inputs in the model. The measured pollutant data from the local Environmental Agency database were statistically analyzed in time series including monthly patterns using the auto-regressive integrated moving average (ARIMA) method, linear trend, simple moving average of three terms and simple exponential smoothing. There was discussed the efficiency of using this method in forecasting the environmental air quality. In general, ARIMA technique scores well in predicting the analysed environmental air quality parameters.

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Association of polycyclic aromatic hydrocarbons in moss with blood biomarker among nearby residents in Portland, Oregon

10.1101/2021.07.15.21260592 ◽

2021 ◽

Author(s):

Igor Burstyn ◽

Geoffrey H. Donovan ◽

Yvonne L. Michael ◽

Sarah Jovan

Keyword(s):

Polycyclic Aromatic Hydrocarbons ◽

Air Quality ◽

Dna Adducts ◽

Aromatic Hydrocarbons ◽

Human Health Risk ◽

Monitoring Methods ◽

Wood Fire ◽

Individual Determinants ◽

Polycyclic Aromatic ◽

Environmental Air

Polycyclic aromatic hydrocarbons (PAHs) are a component of air pollutants that are costly to measure using traditional air-quality monitoring methods. We used an epiphytic bio-indicator (moss genus: Orthotrichum) to cost-effectively evaluate atmospheric deposition of PAHs in Portland, Oregon in May 2013. However, it is unclear if measurements derived from these bioindicators are good proxies for human exposure. To address this question, we simultaneously, measured PAH-DNA adducts in blood samples of non-smokers residing close to the sites of moss measurements. We accounted for individual determinants of PAH uptake that are not related to environmental air quality through questionnaires, e.g., wood fires, consumption of barbecued and fried meats. Correlation and linear regression (to control for confounders from the lifestyle factors) evaluated the associations. We did not observe evidence of an association between PAH levels in moss and PAH-DNA adducts in blood of nearby residents, but higher level of adduct were evident in those who used wood fire in their houses in the last 48 hours. It remains to be determined whether bio-indicators in moss can be used for human health risk assessment.

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