most citedEvaluation of Motor Imagery-Based BCI methods in neurorehabilitation of Parkinson's Disease patients

28 citations · 47 across the 7 of their papers we have counts for

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eess.SP202111 cited

EEG changes and motor deficits in Parkinson's disease patients: Correlation of motor scales and EEG power bands

Aleksandar Miladinović, Miloš Ajčević, Pierpaolo Busan +5

Over the years motor deficit in Parkinson's Disease (PD) patients was largely studied, however, no consistent pattern of relations between quantitative electroencephalography (qEEG…

eess.SP2020

Influence of some cardiovascular risk factors on the rela-tionship between age and blood pressure

Giulia Silveri, Lorenzo Pascazio, Milos Ajcevic +2

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 cardiovasc…

eess.SP2020

Influence of the gender on the relationship between heart rate and blood pressure

Giulia Silveri, Lorenzo Pascazio, Milos Ajcevic +2

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 sys…

eess.SP20208 cited

Assessment of mobility deficit and treatment efficacy in adhesive capsulitis by measurement of kinematic parameters using IMU sensors

Miloš Ajčević, Manuela Deodato, Luigi Murena +3

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…

eess.SP2020

Transfer Learning improves MI BCI models classification accuracy in Parkinson's disease patients

Aleksandar Miladinović, Miloš Ajčević, Pierpaolo Busan +5

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 metho…

eess.SP2020

Identification of Ischemic Heart Disease by using machine learning technique based on parameters measuring Heart Rate Variability

Giulia Silveri, Marco Merlo, Luca Restivo +5

The diagnosis of heart diseases is a difficult task generally addressed by an appropriate examination of patients clinical data. Recently, the use of heart rate variability (HRV) a…