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Manuela Deodato

3 papers hereh-index 345 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.SP2
  • cs.HC1

identity via Semantic Scholar / OpenAlex

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

28 citations · 47 across the 3 of their papers we have counts for

collaborators

3 papers

eess.SP2021★ 11 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…

cs.HC2020★ 28 cited

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

Aleksandar Miladinović, Miloš Ajčević, Pierpaolo Busan +6

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 a…

eess.SP2020★ 8 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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.