EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 323 (2025) EPJ Web Conf., 323 (2025) 04001 References
Open Access
Issue
EPJ Web Conf.
Volume 323, 2025
22nd International Metrology Congress (CIM2025)
Article Number 04001
Number of page(s) 6
Section Measurement Infrastructure for Healthy Building
DOI https://doi.org/10.1051/epjconf/202532304001
Published online 07 April 2025
  1. V. Surawattanasakul, W. Sirikul, R. Sapbamrer, K. Wangsan, J. Panumasvivat, P. Assavanopakun, S. Muangkaew, Respiratory Symptoms and Skin Sick Building Syndrome among Office Workers at University Hospital, Chiang Mai, Thailand: Associations with Indoor Air Quality, AIRMED Project, Int. J. Environ. Res. Public Health 19, 17, 10850, (2022). https://doi.org/10.3390/ijerph191710850 [Google Scholar]
  2. J. Wu, J. Weng, B. Xia, Y. Zhao, Q. Song, he Synergistic Effect of PM2.5 and CO2 Concentrations on Occupant Satisfaction and Work Productivity in a Meeting Room, Int. J. Environ. Res. Public. Health. 18, 4109 (2021). https://doi.org/10.3390/ijerph18084109 [Google Scholar]
  3. World Health Organization, World Health Organization eds: Indoor air quality: biological contaminants: report on a WHO meeting, Rautavaara, 29 August-2 September 1988. World Health Organization, Regional Office for Europe, Copenhagen, 67, (1990). [Google Scholar]
  4. M. Piasecki, K. Kostyrko, S. Pykacz, Indoor environmental quality assessment: Part 1: Choice of the indoor environmental quality sub-component models, J. Build. Phys. 41, 264 (2017). https://doi.org/10.1177/1744259117702882 [Google Scholar]
  5. EN 15251:2007 UNI Ente Italiano di Normazione, (2017). [Google Scholar]
  6. I. Mujan, A. S. Andelkovic, V. Muncan, M. Kljajic, D. Rufic, Influence of indoor environmental quality on human health and productivity A review, J. Clean. Prod. 217, 646 (2019). https://doi.org/10.1016/j.jclepro.2019.01.307 [Google Scholar]
  7. T. Parkinson, A. Parkinson, R. de Dear, Continuous IEQ monitoring system: Context and development, Build. Environ. 149, 15 (2019). https://doi.org/10.1016/j.buildenv.2018.12.010 [Google Scholar]
  8. G. Coulby, A. K. Clear, O. Jones, A. Godfrey, Lowcost, multimodal environmental monitoring based on the Internet of Things, Build. Environ. 203, (2021). https://doi.org/10.1016/j.buildenv.2021.108014 [Google Scholar]
  9. M. Kim, H. Zhang, A. Tzempelikos, A. Gasparella, F. Cappelletti, New Low-Cost Sensing Network for Indoor Environmental Monitoring and Control in Buildings., 41st AIVC/ASHRAE IAQ9th TightVent 7th venticool Conference Athens, Greece 4-6 May 2022, (2023). [Google Scholar]
  10. M. Gola, A. Laghezza, Y. Yu, G. Settimo, S. Capolongo, How to promote health in indoor living and working spaces: quali-quantitative analysis to evaluate the indoor air quality through users’ perception and low-cost sensors. Eur. J. Public Health. 34, ckae144.491 (2024). https://doi.org/10.1093/eurpub/ckae144.491 [Google Scholar]
  11. B. Abboushi, S. Safranek, E. Rodriguez-Feo Bermudez, S. Pratoomratana, Y. Chen, M. Poplawski, R. Davis, A Review of the Use of Wearables in Indoor Environmental Quality Studies and an Evaluation of Data Accessibility from a Wearable Device., Front. Built Environ. 8, (2022). https://doi.org/10.3389/fbuil.2022.787289 [Google Scholar]
  12. F. Salamone, S. Sibilio, M. Masullo, Integrated Approach for Human Wellbeing and Environmental Assessment Based on a Wearable IoT System: A Pilot Case Study in Singapore., Sensors. 24, 6126 (2024). https://doi.org/10.3390/s24186126 [CrossRef] [PubMed] [Google Scholar]
  13. M. Kong, J. An, D. Jung, T. Hong, Occupant-centered indoor environmental quality management: Physiological response measuring methods., Build. Environ. 243, 110661 (2023). https://doi.org/10.1016/j.buildenv.2023.110661 [Google Scholar]
  14. L. Morawska, P. K. Thai, X. Liu, A. Asumadu-Sakyi, G. Ayoko, A. Bartonova, A. Bedini, F. Chai, B. Christensen, M. Dunbabin, J. Gao, G. S. W. Hagler, R. Jayaratne, P. Kumar, A. K. H. Lau, P. K. K. Louie, M. Mazaheri, Z. Ning, N. Motta, B. Mullins, M. M. Rahman, Z. Ristovski, M. Shafiei, D. Tjondronegoro, D. Westerdahl, R. Williams, Applications of low-cost sensing technologies for air quality monitoring and exposure assessment: How far have they gone? Environ. Int. 116, 286 (2018). https://doi.org/10.1016/j.envint.2018.04.018 [Google Scholar]
  15. Measuring air pollution with low-cost sensors Thoughts on the quality of data measured by sensors, European Commission, JRC, (2017). [Google Scholar]
  16. Pioneering next-generation air quality monitoring by metrological validationof low-cost particulate matter sensor, Euramet, Call 2023. [Google Scholar]
  17. T. Parkinson, A. Parkinson, R. de Dear, Introducing the SAMBA indoor environmental quality monitoring system., 49th International Conference of the Architectural Science Association (2015). [Google Scholar]
  18. A. Barbaro, P. Chiavassa, V. I. Fissore, A. Servetti, E. Raviola, G. Ramírez-Espinosa, E. Giusto, B. Montrucchio, A. Astolfi, F. Fiori, Data Acquisition, Processing, and Aggregation in a Low-Cost IoT System for Indoor Environmental Quality Monitoring. Appl. Sci. 14, 4021 (2024). https://doi.org/10.3390/app14104021 [Google Scholar]
  19. IEC 61094-5:2001, Measurement microphones Part 5: Methods for pressure calibration of working standard microphones by comparison. Available: https://webstore.iec.ch/en/publication/4489 (Accessed 20 Feb. 2025) [Google Scholar]
  20. A. Prato, N. Montali, C. Guglielmone, A. Schiavi., Pressure calibration of a digital microelectromechanical system microphone by comparison, J. Acoust. Soc. Am. 144(4):EL297–EL303 (2018) [CrossRef] [PubMed] [Google Scholar]
  21. D. M. Dacey, H.W. Liao, B.B. Peterson, F.R. Robinson, V.C. Smith, J. Pokorny, K.W. Yau, P.D. Gamlin., Melanopsin-expressing ganglion cells in primate retina signal colour and irradiance and project to the LGN. Nature. 433, 749–754 (2025). doi: 10.1038/nature03387 [Google Scholar]
  22. K. A. Mazurek, L. Li, R.J. Klein, S. Rong, A. F. Mullan, D. T. Jones, E. K. St. Louis, G. A. Worrell, C. Y. Chen., Investigating the effects of indoor lighting on measures of brain health in older adults: protocol for a cross-over randomized controlled trial. BMC Geriatr 24, 816 (2024). https://doi.org/10.1186/s12877-023-04594-7 [Google Scholar]
  23. A. N. French, R.S. Ashby, I.G. Morgan, K.A. Rose, Time outdoors and the prevention of myopia. Exp. Eye Res. 114, 58–68 (2013). doi: 10.1016/j.exer.2013.04.018 [Google Scholar]
  24. Commission International de l’Éclairage. CIE S 026/E:2018 System for Metrology of Optical Radiation for ipRGC-Influenced Responses to Light. Vienna: CIE, (2018). [Google Scholar]
  25. L. R. López, P. Dessì, A. Cabrera-Codony, L. RochaMelongo, B. Kraakman, V. Naddeo, M. D. Balaguer, S. Puig, CO2 in indoor environments: From environmental and health risk to potential renewable carbon source, Sci. Total environ. 859 (2023). http://dx.doi.org/10.1016/j.scitotenv.2022.159088 [Google Scholar]
  26. UNI EN 13779:2008, Ventilation for non-residential buildings Performance requirements for ventilation and room-conditioning systems. https://webstore.uni.com/en/uni-en-13779-2008 [Google Scholar]
  27. OSHA, Carbon Dioxide in Workplace atmospheres. Available: https://www.osha.gov/sites/default/files/methods/osha-id172.pdf (Accessed 24 Feb. 2025). [Google Scholar]
  28. MQ-7 Semiconductor Sensor for Carbon Monoxide, Datasheet. Available: https://www.pololu.com/file/0j313/mq7.pdf (Accessed 24 Feb. 2025). [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.