Emma Chiaramello
Biographic Data
| ID | 7904256 |
|---|---|
| NAME | Emma Chiaramello |
| GIVEN NAMES | Emma |
| FAMILY NAME | Chiaramello |
| SIGNATURE | CHIARAMELLO E |
| AFFILIATIONS | Institute of Electronics, Computer and Telecommunication Engineering |
| ORCID | 0000-0003-2503-4779 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Human Exposure Assessment to Wearable Antennas
(1) Background: This work aims to assess the human exposure to the RF-EMFs emitted by a wearable antenna. (2) Methods: a wearable antenna tuned at f = 2.45 GHz was tested by placing it in six realistic configurations relative to a male and female human model. The exposure assessment was performed by means of computational methods to estimate the SAR 10g distributions at 1W of input power. (3) Results: (i) for all the configurations the SAR 10g di…
Design of an Integrated Platform for Mapping Residential Exposure to Rf-Emf Sources
Nowadays, information and communication technologies (mobile phones, connected objects) strongly occupy our daily life. The increasing use of these technologies and the complexity of network infrastructures raise issues about radiofrequency electromagnetic fields (Rf-Emf) exposure. Most previous studies have assessed individual exposure to Rf-Emf, and the next level is to assess populational exposure. In our study, we designed a statistical tool …
Cluster Analysis of Residential Personal Exposure to ELF Magnetic Field in Children
Personal exposure to Extremely Low Frequency Magnetic Fields (ELF MF) in children is a very timely topic. We applied cluster analysis to 24 h indoor personal exposures of 884 children in France to identify possible common patterns of exposures. We investigated how electric networks near child home and other variables potentially affecting residential exposure, such as indoor sources of ELF MF, the age and type of the residence and family size, ch…
Use of Machine Learning in the Analysis of Indoor ELF MF Exposure in Children
Characterization of children exposure to extremely low frequency (ELF) magnetic fields is an important issue because of the possible correlation of leukemia onset with ELF exposure. Cluster analysis-a Machine Learning approach-was applied on personal exposure measurements from 977 children in France to characterize real-life ELF exposure scenarios. Electric networks near the child's home or school were considered as environmental factors characte…
Characterization of Children’s Exposure to Extremely Low Frequency Magnetic Fields by Stochastic Modeling
In this study, children's exposure to extremely low frequency magnetic fields (ELF-MF, 40−800 Hz) is investigated. The interest in this thematic has grown due to a possible correlation between the increased risk of childhood leukemia and a daily average exposure above 0.4 μT, although the causal relationship is still uncertain. The aim of this paper was to present a new method of characterizing the children's exposure to ELF-MF starting from pers…
No prominent works on this page.
Characterization of Children’s Exposure to Extremely Low Frequency Magnetic Fields by Stochastic Modeling
In this study, children's exposure to extremely low frequency magnetic fields (ELF-MF, 40−800 Hz) is investigated. The interest in this thematic has grown due to a possible correlation between the increased risk of childhood leukemia and a daily average exposure above 0.4 μT, although the causal relationship is still uncertain. The aim of this paper was to present a new method of characterizing the children's exposure to ELF-MF starting from pers…
Cluster Analysis of Residential Personal Exposure to ELF Magnetic Field in Children
Personal exposure to Extremely Low Frequency Magnetic Fields (ELF MF) in children is a very timely topic. We applied cluster analysis to 24 h indoor personal exposures of 884 children in France to identify possible common patterns of exposures. We investigated how electric networks near child home and other variables potentially affecting residential exposure, such as indoor sources of ELF MF, the age and type of the residence and family size, ch…
Use of Machine Learning in the Analysis of Indoor ELF MF Exposure in Children
Characterization of children exposure to extremely low frequency (ELF) magnetic fields is an important issue because of the possible correlation of leukemia onset with ELF exposure. Cluster analysis-a Machine Learning approach-was applied on personal exposure measurements from 977 children in France to characterize real-life ELF exposure scenarios. Electric networks near the child's home or school were considered as environmental factors characte…
Design of an Integrated Platform for Mapping Residential Exposure to Rf-Emf Sources
Nowadays, information and communication technologies (mobile phones, connected objects) strongly occupy our daily life. The increasing use of these technologies and the complexity of network infrastructures raise issues about radiofrequency electromagnetic fields (Rf-Emf) exposure. Most previous studies have assessed individual exposure to Rf-Emf, and the next level is to assess populational exposure. In our study, we designed a statistical tool …
Human Exposure Assessment to Wearable Antennas
(1) Background: This work aims to assess the human exposure to the RF-EMFs emitted by a wearable antenna. (2) Methods: a wearable antenna tuned at f = 2.45 GHz was tested by placing it in six realistic configurations relative to a male and female human model. The exposure assessment was performed by means of computational methods to estimate the SAR 10g distributions at 1W of input power. (3) Results: (i) for all the configurations the SAR 10g di…
Electromagnetic Fields and Biological Effects (5 works) · Computer Science (4 works) · Environmental health (4 works) · Medicine (4 works) · Noise Effects and Management (4 works) · Environmental Science (3 works) · Physics (3 works) · Air Quality and Health Impacts (2 works) · Bioelectromagnetics (2 works) · Cluster (spacecraft (2 works)