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Presentation

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

Seizure Journal highlights INESC TEC article in the area of epilepsy

João Paulo Cunha and Hugo Miguel Choupina, coordinator and researcher, respectively, of INESC TEC'S Centre for Biomedical Engineering Research (C-BER) are part of the team of authors of the most relevant article of August for the Seizure Journal, a reference in the epilepsy area.

21st September 2018

Networked Intelligent Systems

INESC TEC organises conference on image analysis and recognition

ICIAR 2018 is an international conference on Image Analysis and Recognition organised by INESC TEC's Centre for Biomedical Engineering Research (C-BER). It took place on 27 and 29 June in Póvoa de Varzim.

25th July 2018

Networked Intelligent Systems

International magazine on medical image analysis recognises INESC TEC’s researcher

Aurélio Campilho, coordinator and researcher of INESC TEC’s Centre for Biomedical Engineering Research (C-BER) was awarded with the honour «Outstanding Contribution in Reviewing» by the «Medical Image Analysis» magazine.

18th July 2018

Networked Intelligent Systems

INESC TEC awarded with honourable mentions of the “The best of the technological Portugal” prize

The projects VR2Market and MarinEye received two honourable mentions in the Innovation and Sustainability category of the “The Best of the Technological Portugal” prize, awarded by the Portuguese magazine “Exame Informática”.

02nd July 2018

INESC TEC once again participates in another edition of the Mostra of the University of Porto

«Dont’ give up on you!» This was the slogan chosen by the University of Porto to lead the 16th edition of Mostra of the University of Porto that took place between 12 and 15 of April at the Institute of Biomedical Sciences Abel Salazar/ the Faculty of Pharmacy of U.Porto.

01st May 2018

Interest Topics
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Featured Projects

LNDetector

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

2016-2019

SCREEN-DR

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

2016-2020

Bio-Early

Projeto Vital Sticker no âmbito do Contrato Programa

2015-2018

NanoStima-RL5

NanoSTIMA - Advanced Methodologies for Computer-Aided Detection and Diagnosis

2015-2018

NanoStima-RL1

NanoSTIMA - Macro-to-Nano Human Sensing Technologies

2015-2018

SMILES

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

2015-2018

VR2Market

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

2014-2018

STePMotion

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

2014-2015

EcoDrive

Inteligent Eco Driving and Fleet Management

2014-2015

Re-Learning

Human motor re-learning by sensor information fusion

2014-2015

VitalResponder2

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

2013-2015

ASD-MD

Movement Disorders in Autistic Spectrum Disorders

2013-2015

HERMES

Interactive system for digital content consumers

2013-2015

Team
003

Laboratories

Biomedical Imaging Laboratory

Neuroengineering and Advanced Human Sensing Laboratory

BioInstrumentation Lab

Publications

C-BER Publications

View all Publications

2018

Innovative analysis of 3D pelvis coordination on modified gait mode

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

Publication
Lecture Notes in Computational Vision and Biomechanics

Abstract
This study presents innovative analysis at the time, frequency and phase domain of the pelvis angular oscillation at transverse (T), sagittal (S) and coronal (C) planes, assessing its coordination during stiff knee gait (SKG) and slow running (SR) comparing it to normal gait (NG). Case study is considered of an adult male 70 kg mass and 1.86 m height. Computer vision is used with 8 Qualysis 100 Hz cameras tracking position of right and left anterior and posterior superior iliac spine (RAsis, LAsis, RPsis, LPsis) including one complete stride during NG, SKG and SR. 3D position coordinates are obtained from 2D image coordinate of multiple camera image using direct linear transformation (DLT). Inverse kinematics is performed using cartesian position data of RAsis, LAsis, RPsis, LPsis and scaled model to subject dimension. The angles, angular velocities and angular accelerations coordination of the pelvis oscillation at T, S, C planes were assessed using linear and cross correlation analysis (LCA, CCA), fast Fourier transform (FFT) and phase space analysis (PSA). Results point for important complementary analysis on entire series of time, frequency and phase analysis of human movement such as the pelvis coordination assessment on different gait modes. © 2018, Springer International Publishing AG.

2018

Sclinico: Usability study

Authors
Pavão, J; Bastardo, R; Covêlo, M; Pereira, LT; Oliveira, P; Pedrosa, C; Silva, A; Costa, V; Martins, AI; Queirós, A; Rocha, NP;

Publication
HEALTHINF 2018 - 11th International Conference on Health Informatics, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018

Abstract
The use of electronic health records (EHR) to support clinical practices is widespread worldwide, due to the need to optimize health care delivery. Therefore, the usability assessment of EHR systems is crucial. The objective of this study was to perform a qualitative and quantitative assessment of the usability of SClinico, the most used EHR system within the Portuguese National Health Service. This observational study to assess SClinico usability took place in several clinical services of the Centro Hospitalar de Trás-os-Montes e Alto Douro. The results show that SClinico has some usability issues that influence the clinical practice and, therefore, need to be improved. Copyright

2018

Optical Fiber Tips for Biological Applications: from Light Confinement, Biosensing to Bioparticles Manipulation

Authors
Paiva, JS; Jorge, PAS; Rosa, CC; Cunha, JPS;

Publication
Biochimica et Biophysica Acta (BBA) - General Subjects

Abstract

2018

Single Particle Differentiation through 2D Optical Fiber Trapping and Back-Scattered Signal Statistical Analysis: An Exploratory Approach

Authors
Paiva, JS; Ribeiro, RSR; Cunha, JPS; Rosa, CC; Jorge, PAS;

Publication
Sensors

Abstract

2018

Skin temperature of the foot: A comparative study between familial amyloid polyneuropathy and diabetic foot patients

Authors
Seixas, A; Vilas Boas, MD; Carvalho, R; Coelho, T; Ammer, K; Vilas Boas, JP; Vardasca, R; Silva Cunha, JPS; Mendes, J;

Publication
Lecture Notes in Computational Vision and Biomechanics

Abstract
Skin temperature regulation is dependant of the autonomic nervous system function, which may be impaired in patients with neuropathy. Studies reporting thermographic assessment of patients with established diagnosis of Diabetic Foot (DF) are scarce but this information is completely absent in patients suffering from Transthyretin Familial Amyloid Polyneuropathy (TTR-FAP). The aim of this study is to compare skin temperature distribution in patients with DF and TTR-FAP. Thermograms of the dorsal and plantar surfaces were compared. Skin temperature was higher in the diabetic foot group and differences were statistically significant (p < 0.05) in both regions of interest. © 2018, Springer International Publishing AG.

Facts & Figures

25Researchers

2016

1R&D Employees

2016

18Proceedings in indexed conferences

2016

Contacts