Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Elisabeth Costa Monteiro"'
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
A portable magnetic mapping system was designed to determine the three-dimensional location of non-ferromagnetic metallic foreign bodies to ensure fast and successful surgical procedures for their removal. The system is based on the induction of eddy
Externí odkaz:
https://doaj.org/article/9a4cc11779644f069cbd4b50c762a893
Autor:
Elisabeth Costa Monteiro, Ron Summers
Publikováno v:
Measurement: Sensors, Vol 24, Iss , Pp 100574- (2022)
Demands from the biomedical sector have challenged the existing international metrology infrastructure to provide traceable measurements comprising the sensing of physical, chemical, and biological quantities required for diagnostic and therapeutic p
Externí odkaz:
https://doaj.org/article/4859d31bab58499590311c739b5a237c
Autor:
Marcos Rogozinski, Carlos Roberto Hall Barbosa, Raul Queiroz Feitosa, Bryan R.C. Oliveira, Elisabeth Costa Monteiro, Daniel Ramos Louzada
Publikováno v:
Measurement: Sensors, Vol 18, Iss , Pp 100133- (2021)
This paper presents an algorithm based on Convolutional Neural Networks (CNN) to find the depth and angles of inclination and rotation of a foreign object inside the human body based on images of the magnetic field generated by it. The key challenge
Externí odkaz:
https://doaj.org/article/cb33273ae2c54a41b05d52ad8be6f2d9
Publikováno v:
Measurement: Sensors, Vol 18, Iss , Pp 100276- (2021)
The accurate and noninvasive localization of ferromagnetic objects in the human body for surgical removal is a healthcare demand. There are studies focused on enhancing the method and low-cost magnetometers’ sensitivity. This work focuses on improv
Externí odkaz:
https://doaj.org/article/7d77cff29e85401aaa4f17e79f5f8b3d
Publikováno v:
Measurement: Sensors, Vol 18, Iss , Pp 100275- (2021)
This paper presents a tracking system to find the position and yaw rotation of a handheld device based on the imaging of an adhesive marker attached to a person's body. Our goal is to provide accurate data that can be combined with data from a giant
Externí odkaz:
https://doaj.org/article/55f580ecd2f04d72a9497c93ad857838
Autor:
Salvador Pacheco, Lizeth Stefanía Benavides Cabrera, Eduardo Costa da Silva, Elisabeth Costa Monteiro
Publikováno v:
Measurement: Sensors, Vol 18, Iss , Pp 100297- (2021)
A closed-loop GMI magnetometer system is reported. The model is implemented by using the Matlab Simulink/Simscape libraries. The GMI closed-loop model implementation is detailed and the simulation results of the system's performance are shown. Furthe
Externí odkaz:
https://doaj.org/article/754352fc04634007afd75fd6ec1ce5aa
Publikováno v:
Measurement: Sensors, Vol 18, Iss , Pp 100303- (2021)
Quality and risk management have evolved with the advancement of pharmaceutical and technological development in healthcare, allowing greater control of each biomedical device's manufacturing processes. Failure Mode and Effect Analysis (FMEA) has bee
Externí odkaz:
https://doaj.org/article/40ab8102aceb4920b0e6706be0792dc8
Autor:
Nathália F. de Oliveira, Rima Rakshit, Anthony Galliano, Daiane Garcia Mercurio, Elcio Cruz de Oliveira, Elisabeth Costa Monteiro
Publikováno v:
Cosmetics, Vol 9, Iss 1, p 1 (2021)
Solar radiation is a significant source of damage to hair fibers. However, the instrumental measurement of the consequences of its interaction with hair fibers’ constituents remains a challenge. In this work, the flexabrasion methodology was invest
Externí odkaz:
https://doaj.org/article/9fac2b22d1734ac188f04891cb36edc0
Publikováno v:
PeerJ, Vol 6, p e5034 (2018)
The results of a computer simulation examining the compliance of a given transcranial magnetic stimulation device to the 2010 International Commission on Non-Ionizing Radiation Protection (ICNIRP) guidelines are presented. The objective was to update
Externí odkaz:
https://doaj.org/article/523fa05ad78a4f15ae633ce00dbefb6a
Autor:
Ricardo Tanscheit, Elisabeth Costa Monteiro, Jorge Raúl Pérez Arredondo, Iam Palatnik de Sousa, Eduardo Costa da Silva
Publikováno v:
Research on Biomedical Engineering. 36:475-487
This work presents the development and comparison of classifiers based on both traditional classifiers and more advanced deep learning techniques to identify different types of bioelectric propagation in cardiac tissue, which are the mechanisms under
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72425864e984c9f53a18f8ee0d706532
https://doi.org/10.1007/s42600-020-00085-5
https://doi.org/10.1007/s42600-020-00085-5