A New Wearable System for Personal Air Pollution Exposure Estimation: Pilot Observational Study
Abstract BackgroundAir pollution is a major environmental cause of premature deaths, responsible for around 7 million deaths annually. In this context, personal air pollution exposure (PAPE), the product of pollutant concentration and minute ventilation (V’mV’m Obj...
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JMIR Publications
2025-07-01
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| Series: | JMIR mHealth and uHealth |
| Online Access: | https://mhealth.jmir.org/2025/1/e60426 |
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| author | Sara Bernasconi Alessandra Angelucci Andrea Rossi Andrea Aliverti |
| author_facet | Sara Bernasconi Alessandra Angelucci Andrea Rossi Andrea Aliverti |
| author_sort | Sara Bernasconi |
| collection | DOAJ |
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Abstract
BackgroundAir pollution is a major environmental cause of premature deaths, responsible for around 7 million deaths annually. In this context, personal air pollution exposure (PAPE), the product of pollutant concentration and minute ventilation (V’mV’m
ObjectiveThis study evaluates the feasibility of using a wearable body sensor network (BSN) to estimate PAPE in real-life settings, assess its capability to detect spatiotemporal variations in pollution levels, and compare inhaled dose estimates from the BSN with those from fixed monitoring stations and standard V’m
MethodsThe system, a BSN capturing physiological (pulse rate [PR] and respiratory rate [RR]) and environmental data, including health-affecting pollutants (particulate matter [PM] 1, PM2.5, PM10, CO22V’m
ResultsVariations in RR were found among volunteers and at different locations for the same participant. Significant differences (P22V’mPrP
ConclusionsThe BSN provides high-resolution spatiotemporal data on personal exposure, capturing differences in pollution levels dependent on time, location, and surrounding environment, along with individual physiological variations. It offers a more accurate estimation of inhaled dose in real-life settings, supporting personalized exposure assessments and potential applications in activity planning and complementing epidemiological research. |
| format | Article |
| id | doaj-art-7b01000529ee48a89a0ffb6750b4184d |
| institution | Kabale University |
| issn | 2291-5222 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR mHealth and uHealth |
| spelling | doaj-art-7b01000529ee48a89a0ffb6750b4184d2025-08-20T03:28:59ZengJMIR PublicationsJMIR mHealth and uHealth2291-52222025-07-0113e60426e6042610.2196/60426A New Wearable System for Personal Air Pollution Exposure Estimation: Pilot Observational StudySara Bernasconihttp://orcid.org/0000-0002-6641-5001Alessandra Angeluccihttp://orcid.org/0000-0001-8266-9346Andrea Rossihttp://orcid.org/0009-0005-7594-190XAndrea Alivertihttp://orcid.org/0000-0002-2950-0231 Abstract BackgroundAir pollution is a major environmental cause of premature deaths, responsible for around 7 million deaths annually. In this context, personal air pollution exposure (PAPE), the product of pollutant concentration and minute ventilation (V’mV’m ObjectiveThis study evaluates the feasibility of using a wearable body sensor network (BSN) to estimate PAPE in real-life settings, assess its capability to detect spatiotemporal variations in pollution levels, and compare inhaled dose estimates from the BSN with those from fixed monitoring stations and standard V’m MethodsThe system, a BSN capturing physiological (pulse rate [PR] and respiratory rate [RR]) and environmental data, including health-affecting pollutants (particulate matter [PM] 1, PM2.5, PM10, CO22V’m ResultsVariations in RR were found among volunteers and at different locations for the same participant. Significant differences (P22V’mPrP ConclusionsThe BSN provides high-resolution spatiotemporal data on personal exposure, capturing differences in pollution levels dependent on time, location, and surrounding environment, along with individual physiological variations. It offers a more accurate estimation of inhaled dose in real-life settings, supporting personalized exposure assessments and potential applications in activity planning and complementing epidemiological research.https://mhealth.jmir.org/2025/1/e60426 |
| spellingShingle | Sara Bernasconi Alessandra Angelucci Andrea Rossi Andrea Aliverti A New Wearable System for Personal Air Pollution Exposure Estimation: Pilot Observational Study JMIR mHealth and uHealth |
| title | A New Wearable System for Personal Air Pollution Exposure Estimation: Pilot Observational Study |
| title_full | A New Wearable System for Personal Air Pollution Exposure Estimation: Pilot Observational Study |
| title_fullStr | A New Wearable System for Personal Air Pollution Exposure Estimation: Pilot Observational Study |
| title_full_unstemmed | A New Wearable System for Personal Air Pollution Exposure Estimation: Pilot Observational Study |
| title_short | A New Wearable System for Personal Air Pollution Exposure Estimation: Pilot Observational Study |
| title_sort | new wearable system for personal air pollution exposure estimation pilot observational study |
| url | https://mhealth.jmir.org/2025/1/e60426 |
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