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About

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

004
Publications

2019

Combined phase and magnitude metric for validation of lower limb multibody dynamics muscle action with sEMG

Authors
Rodrigues, C; Correia, M; Abrantes, J; Nadal, J; Benedetti, M;

Publication
IFMBE Proceedings

Abstract
This study presents and applies combined phase and magnitude metrics for validation of multibody dynamics (MBD) estimated muscle actions with simultaneous registered sEMG of lower limb muscles. Subject-specific tests were performed for acquisition of ground reaction forces and kinematic data from joint reflective markers during NG, SKG and SR. Inverse kinematics and dynamics was performed using AnyBody musculoskeletal personalized modeling and simulation. MBD estimated muscle activity (MA) of soleus medialis (SM) and tibialis anterior (TA) were compared on phase, magnitude and combined metric with simultaneous acquisition of sEMG for the same muscles. Results from quantitative metrics presented better agreement between MDB MA and sEMG on phase (P) than on magnitude (M) with combined (C) metric following the same pattern as the magnitude. Soleus medialis presented for specific subject lower P and M error on NG and SKG than at SR with similar P errors for tibialis anterior and higher error on M for TA at NG and SKG than SR. Separately and combined quantitative metrics of phase and magnitude presents as a suitable tool for comparing measured sEMG and MBD estimated muscle activities, contributing to overcome qualitative and subjective comparisons, need for intensive observer supervision, low reproducibility and time consuming. © Springer Nature Singapore Pte Ltd. 2019.

2019

Spherical angular analysis for pelvis coordination assessment on modified gait

Authors
Rodrigues, C; Correia, M; Abrantes, J; Nadal, J; Benedetti, M;

Publication
IFMBE Proceedings

Abstract
This study presents and applies 3D spherical angular analysis in relation with 2D polar coordinates to assess anatomic pelvic movement on modified gait, namely stiff knee (SKG) gait and slow running (SR) comparing with normal gait (NG). Subject specific analysis was performed of an adult healthy male based on inverse kinematics from in vivo and noninvasive capture at human movement lab of reflective markers position from pelvis anatomical selected points with Qualisys camera system during a complete stride of NG, SKG and SR. Radial distance (R), pitch (?) and azimuth (?) angular phases were computed from pelvic angle-angle diagrams (?T, ?C, ?S) at transverse (T), coronal (C) and sagittal (S) planes, and angular phase (?) and planar radial distance (r) polar coordinates computed from pelvic angle-angle diagrams projections at cartesian planes (?T, ?C), (?T, ?S), (?C, ?S). Average radial distances and phase standard deviation were assessed on spherical and polar coordinates. © Springer Nature Singapore Pte Ltd. 2019.

2019

Methodological considerations for kinematic analysis of upper limbs in healthy and poststroke adults. Part I: A systematic review of sampling and motor tasks

Authors
Mesquita, IA; Vieira Pinheiro, ARV; Paiva Velhote Correia, MFPV; Costa da Silva, CIC;

Publication
Topics in Stroke Rehabilitation

Abstract

2019

Lower limb assessment of dynamic stiffness on different human maximum vertical jump

Authors
Rodrigues, C; Correia, M; Abrantes, JMCS; Rodrigues, MAB; Nadal, J;

Publication
2019 IEEE 6th Portuguese Meeting on Bioengineering (ENBENG)

Abstract

2019

Methodological considerations for kinematic analysis of upper limbs in healthy and poststroke adults Part II: a systematic review of motion capture systems and kinematic metrics

Authors
Mesquita, IA; Fonseca, PFPD; Pinheiro, ARV; Velhote Correia, MFP; Silva, CICD;

Publication
Topics in Stroke Rehabilitation

Abstract

Supervised
thesis

2017

Measure Impedance in Congestive Heart Failure Patients

Author
José Carlos Coelho Alves

Institution
UP-FEUP

2017

Rehabilitation Exercises for Knee Recovery at Home

Author
Sara Pereira Mendes de Oliveira

Institution
UP-FEUP

2017

Integração de sensores em calçado de elevado desempenho

Author
Eduardo Fernando Nogueira Rodrigues da Rocha

Institution
UP-FEUP

2017

Measurement System for Evaluation of Cycling Performance

Author
Diogo José Fernandes Gonçalves

Institution
UP-FEUP

2017

Sensors fusion and movement analysis for sports performance optimization

Author
Bárbara França Domingues Cardoso

Institution
UP-FEUP