An approach to using heart rate monitoring to estimate the ventilation and load of air pollution exposure

Cozza, Izabela Campos; Zanetta, Dirce Maria Trevisan; Fernandes, Frederico Leon Arrabal; Rocha, Francisco Marcelo Monteiro da; André, Paulo Afonso de; Garcia, Maria Lúcia Bueno; Paceli, Renato; Prado, Gustavo Faibischew; Terra-Filho, Mário; Saldiva, Paulo; Santos, Ubiratan de Paula

doi:10.1016/j.scitotenv.2015.03.049

Cited by 18 publications

(15 citation statements)

References 28 publications

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“…Many studies have taken ventilation rate and deposition rate (DR) into consideration for obtaining more accurate results. The physiological association between HR and DR has been well documented in previous studies [29][30][31]. The HR data is more accessible than DR, although it is probably affected by posture, physical activity, food digestion, emotions and other ambient factors.…”

Section: Potential Pollutant Inhaled Dosementioning

confidence: 67%

Exposure to particulate matter and life loss from traveling by four different common commuting modes

Zheng¹,

Qiu²

2020

Preprint

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Objective Traffic-related air pollution (TRAP) has an adverse effect on commuters. The primary aim of this article was to make a comparison of PM exposure among four common transportation modes, analyze various influencing factors for specific modes, and evaluate public health effects caused by commuting exposure. Method: The experimental database was integrated for the four modes’ 336 trips and 13 volunteers’ heart-rate data. Basic descriptive statistics were used to compare PM exposure levels, and multivariable linear regression model and Spearman correlation analysis were adopted to explore major influences on pollution concentration among the different modes. In human health evaluations, the inhalation dose model and life table method were employed to obtain inhaled dose and years of life expectancy loss (YLE). Results The results indicated that higher PM exposure was found in cycling (average PM10, PM2.5 and PM1.0 of 114.35, 72.37 and 56.51 µg/m3, respectively), followed by bus (116.29, 67.60 and 51.12 µg/m3 for the same pollutants, respectively), and then taxi (97.61, 58.87 and 45.11 µg/m3), and the lowest concentrations appeared in subways (55.86, 46.20 and 40.20 µg/m3). Background pollution concentration and relative humidity were the staple determining factors on PM exposure according to the analysis outcomes. The greatest YLE loss was found for cycling, and could result in per capita 5.51–6.43 months of life expectancy loss for the 15–64 age group. Conclusions Given the higher average PM concentration for cycling, substituting other modes (like subway) for cycling could reduce adverse health effects during severely polluted periods, before the completion of local dedicated infrastructure projects that might reduce bicyclists’ exposure. PM2.5 levels in taxi cabins were decreased greatly when the vehicles were powered by CNG or methanol as compared to traditional fuels, indicating that implementing energy structure strategies such as vigorously promoting clean energy could effectively reduce pollution emissions and residents’ exposure.

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Section: Potential Pollutant Inhaled Dosementioning

confidence: 67%

Exposure to particulate matter and life loss from traveling by four different common commuting modes

Zheng¹,

Qiu²

2020

Preprint

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“…Tightness and location of the strap impact the measurement of breathing wave amplitude and breathing rate. Especially when using the formula with breathing wave amplitude from 25,41 . In larger panel studies this is not feasible and therefore only equations that were considered broadly valid and did not need individual calibration were compared…”

Section: Discussionmentioning

confidence: 99%

Wearable Sensors for Personal Monitoring and Estimation of Inhaled Traffic-Related Air Pollution: Evaluation of Methods

Dons

Laeremans

Orjuela

et al. 2017

Environ. Sci. Technol.

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Physical activity and ventilation rates have an effect on an individual's dose and may be important to consider in exposure-response relationships; however, these factors are often ignored in environmental epidemiology studies. The aim of this study was to evaluate methods to estimate the inhaled dose of air pollution and understand variability, in the absence of a true gold standard metric. Five types of methods were identified: (1) methods using (physical) activity types; (2) methods based on energy expenditure, METs (metabolic equivalents of task) and oxygen consumption; (3) methods based on heart rate or (4) breathing rate; and (5) methods that combine heart and breathing rate. Methods were compared using a real-life dataset of 122 adults who wore devices to track movement, black carbon air pollution and physiological health markers for three weeks in three European cities. Different methods to estimate minute ventilation performed well in relative terms with high correlations among different methods. But in absolute terms, ignoring increased ventilation during day to day activities could lead to an underestimation of daily dose by a factor 0.08 to 1.78. There is no single best method and a multitude of methods are currently being used to approximate dose.The choice of a suitable method to determine dose in future studies will depend both on the size and the objectives of the study.

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“…However, it works well on plain dataset and relationships which are not intrinsic features of physiological time series. In [7], LR models are applied to predict ventilation series only from the heart rate series. Regardless of the simple dataset with only two variables involved, the authors conclude that further evaluations are demanded.…”

Section: Previous and Related Workmentioning

confidence: 99%

Towards the use of vector based GP to predict physiological time series

Azzali

Vanneschi

Bakurov

et al. 2020

Applied Soft Computing

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An approach to using heart rate monitoring to estimate the ventilation and load of air pollution exposure

Cited by 18 publications

References 28 publications

Exposure to particulate matter and life loss from traveling by four different common commuting modes

Exposure to particulate matter and life loss from traveling by four different common commuting modes

Wearable Sensors for Personal Monitoring and Estimation of Inhaled Traffic-Related Air Pollution: Evaluation of Methods

Towards the use of vector based GP to predict physiological time series

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