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About

Miguel Velhote Correia graduated in Electrical and Computer Engineering from University of Porto, Faculty of Engineering (FEUP) in 1990. He obtained the Master and the Doctoral degrees also from FEUP in 1995 and 2001, in the fields of Industrial Automation and Computer Vision, respectively. Currently, he is an Assistant Professor at the Department of Electrical and Computer Engineering at FEUP, since 2002 and with tenure since 2007. Since March 2008, he is also a senior research member at INESC Technology and Science – Institute of Systems and Computer Engineering of Porto, head of the Bioinstrumentation Laboratory of the Centre for Biomedicla Engineering Research. Additionally, he is co-founder and technical advisor of Kinematix Sense S.A. (formerly Tomorrow Options - Microelectronics S.A), an electronic devices start-up company of University of Porto and INESCTEC. Between 1993 and 2007, he was a researcher at INEB – Institute of Biomedical Engineering, in the Biomedical Imaging and Vision Computing group and previously at the CIM Centre of Porto at FEUP. His main research interests are in Sensors and Electronics, Biomedical Instrumentation, Computational Vision and Image and Signal Processing, with focus in sensing methods, technologies and data fusion for the measurement and analysis of human movement, perception, action and performance. Since 1990, he participated in more than twenty funded research projects and co-authored over 100 research papers published in peer reviewed journals and conference proceedings. He is also member of the Portuguese Official Engineers Association, the International Association of Pattern Recognition, through its Portuguese chapter, and co-founder of the Portuguese Experimental Psychology Association.

Interest
Topics
Details

Details

  • Name

    Miguel Velhote Correia
  • Role

    Senior Researcher
  • Since

    01st March 2008
  • Nationality

    Portugal
  • Contacts

    +351222094106
    miguel.velhote.correia@inesctec.pt
006
Publications

2021

Secure Triplet Loss: Achieving Cancelability and Non-Linkability in End-to-End Deep Biometrics

Authors
Pinto, JR; Correia, MV; Cardoso, JS;

Publication
IEEE Transactions on Biometrics, Behavior, and Identity Science

Abstract

2021

Orientation-Invariant Spatio-Temporal Gait Analysis Using Foot-Worn Inertial Sensors

Authors
Guimaraes, V; Sousa, I; Correia, MV;

Publication
SENSORS

Abstract
Inertial sensors can potentially assist clinical decision making in gait-related disorders. Methods for objective spatio-temporal gait analysis usually assume the careful alignment of the sensors on the body, so that sensor data can be evaluated using the body coordinate system. Some studies infer sensor orientation by exploring the cyclic characteristics of walking. In addition to being unrealistic to assume that the sensor can be aligned perfectly with the body, the robustness of gait analysis with respect to differences in sensor orientation has not yet been investigated-potentially hindering use in clinical settings. To address this gap in the literature, we introduce an orientation-invariant gait analysis approach and propose a method to quantitatively assess robustness to changes in sensor orientation. We validate our results in a group of young adults, using an optical motion capture system as reference. Overall, good agreement between systems is achieved considering an extensive set of gait metrics. Gait speed is evaluated with a relative error of -3.1 +/- 9.2 cm/s, but precision improves when turning strides are excluded from the analysis, resulting in a relative error of -3.4 +/- 6.9 cm/s. We demonstrate the invariance of our approach by simulating rotations of the sensor on the foot.

2021

A Bibliometric Analysis of Intraoperative Neuromonitoring in Spine Surgery

Authors
Fonseca, P; Goethel, M; Vilas Boas, JP; Gutierres, M; Correia, MV;

Publication
World Neurosurgery

Abstract

2021

Gait events detection from heel and toe trajectories: comparison of methods using multiple datasets

Authors
Guimarães, V; Sousa, I; Correia, MV;

Publication
IEEE International Symposium on Medical Measurements and Applications, MeMeA 2021, Lausanne, Switzerland, June 23-25, 2021

Abstract

2021

A new coupling method for accurate measurement of pedicle screw electrical properties for surgical procedures

Authors
Fonseca, P; Goethel, MF; Sebastiao, R; Sousa, MV; Vilas Boas, JP; Correia, MV; Gutierres, M;

Publication
Applied Sciences (Switzerland)

Abstract
The objective of this study is to present a new coupling method in order to measure the electrical properties of titanium alloy pedicle screws used in spinal surgery and to compare it with other common methods of measurement. An experimental setup was devised to test the electrical resistance of two specimens of pedicle screws using four methods for coupling the sensing leads, including the use of multimeter probes, alligator clips, wrapped wires and encapsulation with thermo-retractable sleeves. The electrical resistance of the pedicle screw under testing was measured at a current of 10 mA for each coupling method, and the results compared. Our findings show that although widely used in electrical analysis, the alligator clips do not perform as well as the other methods, such as simple wrapping of wires around the screw or the direct application of multimeter probes. The use of thermo-retractable sleeves provides the lowest resistance and inter-quartile range and is closer to the tabled values for the screw’s titanium alloy. Additionally, only this method allows the measurement of identical resistivity values between different screw models manufactured with the same titanium alloy. We then concluded that the use of wrapped wires encapsulated with thermo-retractable sleeves allow more accurate measurements of the pedicle screw’s electrical properties. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Supervised
thesis

2021

Análise e Classificação por Aprendizagem Máquina do Doente Neurocrítico

Author
Cârmen Isabel Ribeiro Vieira

Institution
UNL-FCTNOVA

2021

bio-signal analysis for neuromuscular control assessment: application to the stretch-shortening cycle in the human locomotion system

Author
Carlos Manuel Barbosa Rodrigues

Institution
UP-FEUP

2021

WalkingPAD - Smart sensing

Author
Bruno Miguel Ribeiro Pinto

Institution
UP-FCUP

2021

Development of a monitoring and data communication system for application in Pavement Energy Harvesting

Author
Jose Gonçalo Correia Sousa Neto

Institution
UP-FEUP

2021

Development of a neurophysiologic intraoperative monitoring system for spine surgical procedure

Author
Pedro Filipe Pereira da Fonseca

Institution
UP-FEUP