Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Miladinovic, Aleksandar"'
Autor:
Simões, Marco, Borra, Davide, Santamaría-Vázquez, Eduardo, UPM, GBT, Bittencourt-Villalpando, Mayra, Krzemi´nski, Dominik, Miladinovic, Aleksandar, Group, Neural_Engineering, Schmid, Thomas, Zhao, Haifeng, Amaral, Carlos, Direito, Bruno, Henriques, Jorge, Carvalho, Paulo, Castelo-Branco, Miguel
There is a lack of multi-session P300 datasets for Brain-Computer Interfaces (BCI). Publicly available datasets are usually limited by small number of participants with few BCI sessions. In this sense, the lack of large, comprehensive datasets with v
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A84202
https://ul.qucosa.de/api/qucosa%3A84202/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A84202/attachment/ATT-0/
Autor:
Miladinović, Aleksandar, Ajčević, Miloš, Siveri, Giulia, Liguori, Laura, Pascazio, Lorenzo, Accardo, Agostino
The accurate measurement of blood pressure (BP) is an important prerequisite for the reliable diagnosis and efficient management of hypertension and other medical conditions. Office Blood Pressure Measurement (OBP) is a technique performed in-office
Externí odkaz:
http://arxiv.org/abs/2106.02392
Autor:
Miladinović, Aleksandar, Ajčević, Miloš, Busan, Pierpaolo, Jarmolowska, Joanna, Deodatod, Manuela, Mezzarobba, Susanna, Battaglini, Piero Paolo, Accardo, Agostino
Over the years motor deficit in Parkinson's Disease (PD) patients was largely studied, however, no consistent pattern of relations between quantitative electroencephalography (qEEG) and motor scales emerged. There is a general lack of information on
Externí odkaz:
http://arxiv.org/abs/2106.02387
Autor:
Inferrera Leandro, Borsatti Lorenzo, Miladinovic Aleksandar, Marangoni Dario, Giglio Rosa, Accardo Agostino, Tognetto Daniele
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract A new system based on binary Deep Learning (DL) convolutional neural networks has been developed to recognize specific retinal abnormality signs on Optical Coherence Tomography (OCT) images useful for clinical practice. Images from the local
Externí odkaz:
https://doaj.org/article/51a5e2d0aef7427991c5fbbb4a7ebecc
Autor:
Silveri, Giulia, Pascazio, Lorenzo, Ajcevic, Milos, Miladinovic, Aleksandar, Accardo1, Agostino
Publikováno v:
NORDIC BALTIC CONFERENCE ON Biomedical Engineering and Medical Physics 2020
Blood Pressure (BP) is a biological signal related to the cardiovascular system that inevitably is affected by ageing. Moreover, it is also influenced by the presence of cardiovascular risk factors. To evaluate how the relationship be-tween BP and ag
Externí odkaz:
http://arxiv.org/abs/2011.11530
Autor:
Silveri, Giulia, Pascazio, Lorenzo, Ajcevic, Milos, Miladinovic, Aleksandar, Accardo, Agostino
Publikováno v:
EMBEC 2020 - 8th European Medical and Biological Engineering Conference
Blood Pressure (BP) and Heart Rate (HR) provide information on clin-ical condition along 24h. Both signals present circadian changes due to sympa-thetic/parasympathetic control system that influence the relationship between them. Moreover, also the g
Externí odkaz:
http://arxiv.org/abs/2011.11519
Autor:
Silveri, Giulia, Pascazio, Lorenzo, Miladinovic, Aleksandar, Ajcevic, Milos, Accardo, Agostino
The use of office measurement of Blood Pressure (BP) as well as of the mean on day-time, on night-time or on 24h does not accurately describe the changes of the BP circadian rhythm. Moreover, several risk factors affect this rhythm but until now poss
Externí odkaz:
http://arxiv.org/abs/2011.05392
Evaluation of Motor Imagery-Based BCI methods in neurorehabilitation of Parkinson's Disease patients
Autor:
Miladinović, Aleksandar, Ajčević, Miloš, Busan, Pierpaolo, Jarmolowska, Joanna, Silveri, Giulia, Deodato, Manuela, Mezzarobba, Sussana, Battaglini, Piero Paolo, Accardo, Agostino
Publikováno v:
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
The study reports the performance of Parkinson's disease (PD) patients to operate Motor-Imagery based Brain-Computer Interface (MI-BCI) and compares three selected pre-processing and classification approaches. The experiment was conducted on 7 PD pat
Externí odkaz:
http://arxiv.org/abs/2011.03676
Autor:
Ajčević, Miloš, Deodato, Manuela, Murena, Luigi, Miladinović, Aleksandar, Mezzarobba, Susanna, Accardo, Agostino
Publikováno v:
2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
There is a growing research interest towards the use of wireless IMU sensors to assess disability, monitor progress and provide feedback to patients on range of motion and movement performance during upper body rehabilitation. The quality of movement
Externí odkaz:
http://arxiv.org/abs/2010.16169
Autor:
Miladinović, Aleksandar, Ajčević, Miloš, Busan, Pierpaolo, Jarmolowska, Joanna, Silveri, Giulia, Mezzarobba, Susanna, Battaglini, Piero Paolo, Accardo, Agostino
Motor-Imagery based BCI (MI-BCI) neurorehabilitation can improve locomotor ability and reduce the deficit symptoms in Parkinson's Disease patients. Advanced Motor-Imagery BCI methods are needed to overcome the accuracy and time-related MI BCI calibra
Externí odkaz:
http://arxiv.org/abs/2010.15899