Leap motion evaluation for assessment of upper limb motor skills in Parkinson's disease
| Autor: | Erika Rovini, C. Dolciotti, Abdul Haleem Butt, G. De Petris, Francesca Romana Cavallo, Paolo Bongioanni |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Male
medicine.medical_specialty Parkinson's disease 02 engineering and technology Thumb Objective assessment Upper Extremity 03 medical and health sciences 0302 clinical medicine Leap motion Physical medicine and rehabilitation 0202 electrical engineering electronic engineering information engineering Humans Medicine Electrical and Electronic Engineering Slowness Control and Systems Engineering Rehabilitation Motor skill Aged business.industry Healthy subjects Parkinson Disease 020206 networking & telecommunications Middle Aged Hand medicine.disease medicine.anatomical_structure Motor Skills Case-Control Studies Disease Progression Upper limb Female Artificial intelligence business Algorithms Software 030217 neurology & neurosurgery |
| Zdroj: | ICORR |
| Popis: | The main goal of this study is to investigate the potential of the Leap Motion Controller (LMC) for the objective assessment of motor dysfunctioning in patients with Parkinson's disease (PwPD). The most relevant clinical signs in Parkinson's Disease (PD), such as slowness of movements, frequency variation, amplitude variation, and speed, were extracted from the recorded LMC data. Data were clinically quantified using the LMC software development kit (SDK). In this study, 16 PwPD subjects and 12 control healthy subjects were involved. A neurologist assessed the subjects during the task execution, assigning them a score according to the MDS/UPDRS-Section III items. Features of motor performance from both subject groups (patients and healthy controls) were extracted with dedicated algorithms. Furthermore, to find out the significance of such features from the clinical point of view, machine learning based methods were used. Overall, our findings showed the moderate potential of LMC to extract the motor performance of PwPD. |
| Databáze: | OpenAIRE |
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