Detection tests & interventions will be evaluated by our medical experts to guarantee their effectiveness in capturing Parkinson’s symptoms & sustaining patients’ life quality

The doctor has a critical role in i-PROGNOSIS regarding both detection and intervention functionalities. i-PROGNOSIS will not replace but assist the doctors not only to reach a prompt and reliable prognosis but also suggest suitable intervention approaches to sustain the quality of life of potent or early stage Parkinson’s patients.

Early Parkinson’s Disease detection

Medical evaluation takes place at the end of every stage of the detection process. The value of user-smart device interaction and behavioural data collected during both stages and the accuracy of the machine learning algorithms in terms of PD detection will be assessed through medical evaluation protocols that selected users that will participate in Stage 1 and all users that will participate in Stage 2 data collection will undergo. Moreover, theoretical validation of correlations between the user-smart devices interaction/behavioural data-based inference procedure of machine learning algorithms and known Parkinson’s Disease symptoms will take place, by medical experts.

Supportive interventions

The efficacy of each intervention will be evaluated by pre- (maximum two weeks before) and post-intervention (during follow-up periods) clinical assessment of each user.

The medical evaluation framework is mainly consisted of a complete medical examination for estimating the generic medical status and a complete neurological examination. Clinical estimation of the Parkinson’s Disease status will be performed through:

  • Unified Parkinson Disease Rating Scale (UPDRS),
  • Parkinson’s Disease Questionnaire-39 (PDQ-39),
  • Parkinson’s Disease Non Motor Symptoms Questionnaire for screening non-motor symptoms,
  • Parkinson’s Disease Sleep Scale (PDSS) for assessing sleep disturbances,
  • evaluation of the olfactory functionality, and
  • magnetic resonance brain imaging.

Moreover, the participant will be prepared for resting-state EEG and recording of event-related potentials (ERP analysis).

Neuropsychological estimation will also take place for assessing cognitive impairment (Montreal Cognitive Assessment/MoCA), functionality and possible emotional or behavioural disturbances (Beck depression Inventory, geriatric depression Scale).

Last but not least, assessment of physical activity will additionally occur through:

  • Sit-to-Stand test (STST),
  • Timed-Up-and-Go (TUG),
  • unipodal stance and Community Balance and Mobility (CBM),
  • Tinetti Performance Oriented Mobility Assessment (POMA),
  • 10-m walk test,
  • Community Balance and Mobility assessment (CBM),
  • unipodal stance duration, and
  • questionnaires for behavioural issues on their wellbeing and engagement in health management.