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Biomedical Engineering Research

At C-BER our main goals are the creation of interdisciplinary knowledge enabling innovation and technology transfer with economic impact; and also the development of products, tools and methods for the prevention and early detection of different types of diseases, aging-related impairments, or for human rehabilitation, physical therapy or functional assessment.

We also seek to contribute to the development of advanced neuro-technologies at the frontier of engineering and neurology, and to promote strategic partnerships with clinical partners, research institutes, and fostering international cooperation.

Our R&D activity is developed in three different areas: BioInstrumentation, Biomedical Imaging and NeuroEngineering.

Latest News
Networked Intelligent Systems

Fraunhofer award was given to a paper on retina disease

The paper entitled “Quantitative Assessment of Central Serous Chorioretinopathy in Angiographic Sequences of Retinal Images”, written by Carlos Ferreira, Jorge Silva and Ana Maria Mendonça, collaborators of INESC TEC’s Centre for Biomedical Engineering Research, alongside Susana Penas, Ophthalmology Specialist at São João Hospital Centre and Professor at FMUP, won the Best Paper Award in the category entitled Full Papers Summarizing a Msc Thesis from the Associação Fraunhofer Portugal Research (Fraunhofer Portugal).

07th March 2019

Networked Intelligent Systems

Original partnership brings together INESC TEC's technology and photographic art

On 23 February, the inauguration of the photography and video exhibition entitled “Olha e Vê. Sente e Vive” and “Outros Retratos e Auto-retratos” (in English “Look and See. Sense and Live” and “Other Portraits and Self-Portraits”) took place at Mira Forum. It was promoted under the project SCREEN-DR of INESC TEC’s Centre for Biomedical Engineering Research (C-BER).

01st March 2019

Networked Intelligent Systems

InSignals Neurotech is the name of the new INESC TEC’s spin-off

Spin-off is the result of the research conducted in the biomedical engineering area.

28th February 2019

Networked Intelligent Systems

INESC TEC organises photographic exhibition that combines art and technology

“Olha e Vê. Sente e Vive” and “Outros Retratos e Auto-retratos” (in English “Look and See. Sense and Live” and “Other Portraits and Self-Portraits”) are the captions that map an initiative organised under the project SCREEN-DR, a computational platform for the diabetic retinopathy screening, coordinated by INESC TEC’s Centre for Biomedical Engineering Research (C-BER).

30th January 2019

Networked Intelligent Systems

Article on diabetic retinopathy wins Best Paper Award in the USA

The article "MedAL: Accurate and Robust Deep Active Learning for Medical Image Analysis", in which three INESC TEC’s researchers are co-authors, namely Pedro Costa and Adrian Galdran, collaborators of the Centre for Biomedical Engineering Research (C-BER) on the date of the paper, and Aurélio Campilho, current coordinator of C-BER and Full Professor at the Faculty of Engineering of the University of Porto, received a “best paper award” at ICMLA 2018 - 17th Conference on Machine Learning and Application.

28th January 2019

Interest Topics

Featured Projects


Lung cancer screening - A non-invasive methodology for early diagnosis



Perceptual equivalence in virtual reality for authentic training



Less Commodities more Specialities



Automatic Detection, Segmentation and Classification of Pulmonary Nodules System in Computed Tomography Images



Image Analysis and Machine Learning Platform for Innovation in Diabetic Retinopathy Screening



Projeto Vital Sticker no âmbito do Contrato Programa



NanoSTIMA - Advanced Methodologies for Computer-Aided Detection and Diagnosis



NanoSTIMA - Macro-to-Nano Human Sensing Technologies



SMILES - Smart, Mobile, Intelligent and Large scale Sensing and analytics



VR2Market: Towards a Mobile Wearable Health Surveillance Product for First Response and other Hazardous Professions



Spatio-temporal components of the processing of sensorial and motor information



Inteligent Eco Driving and Fleet Management



Human motor re-learning by sensor information fusion



Intelligent management of critical events of stress, fatigue and smoke intoxication in forest firefighting



Movement Disorders in Autistic Spectrum Disorders



Interactive system for digital content consumers




Biomedical Imaging Laboratory

Neuroengineering and Advanced Human Sensing Laboratory

BioInstrumentation Lab


C-BER Publications

View all Publications


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

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

IFMBE Proceedings

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.


Spherical angular analysis for pelvis coordination assessment on modified gait

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

IFMBE Proceedings

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.


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

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

Topics in Stroke Rehabilitation



Optical fiber-based sensing method for nanoparticle detection through supervised back-scattering analysis: a potential contributor for biomedicine

S. Paiva, J; A. S. Jorge, P; S. R. Ribeiro, R; Sampaio, P; C. Rosa, C; Cunha, JPS;

International Journal of Nanomedicine



Full-body motion assessment: Concurrent validation of two body tracking depth sensors versus a gold standard system during gait

Vilas Boas, MDC; Choupina, HMP; Rocha, AP; Fernandes, JM; Cunha, JPS;

Journal of Biomechanics

RGB-D cameras provide 3-D body joint data in a low-cost, portable and non-intrusive way, when compared with reference motion capture systems used in laboratory settings. In this contribution, we evaluate the validity of both Microsoft Kinect versions (v1 and v2) for motion analysis against a Qualisys system in a simultaneous protocol. Two different walking directions in relation to the Kinect (towards – WT, and away – WA) were explored. For each gait trial, measures related with all body parts were computed: velocity of all joints, distance between symmetrical joints, and angle at some joints. For each measure, we compared each Kinect version and Qualisys by obtaining the mean true error and mean absolute error, Pearson's correlation coefficient, and optical-to-depth ratio. Although both Kinect v1 and v2 and/or WT and WA data present similar accuracy for some measures, better results were achieved, overall, when using WT data provided by the Kinect v2, especially for velocity measures. Moreover, the velocity and distance presented better results than angle measures. Our results show that both Kinect versions can be an alternative to more expensive systems such as Qualisys, for obtaining distance and velocity measures as well as some angles metrics (namely the knee angles). This conclusion is important towards the off-lab non-intrusive assessment of motor function in different areas, including sports and healthcare. © 2019 Elsevier Ltd

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7Senior Researchers


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