Abstract
The paper presents the concept and implementation of distributed group collaboration tool intended for collective diagnosing of Parkinson Disease (PD). Collaborative decisions as a result of experts meetings and discussions on many clinical cases and many assessment methods, by geographically distributed domain experts seem to be more reliable option than assessment made by a single neurologist. Clinicians using our system are working on finding relationship between subjective Unified Parkinson’s Disease Rating Scale (UPDRS) and completely new objective scale developed on the basis of selected parameters of patient’s gait called by us Parkinson’s Disease Gait Indexes (PDGI) [1].
Each expert using subjective UPDRS expresses classical assessment of the patient’s stage or symptoms development. The obtained results are used as reference for other assessment methods in our database. An alternative objective PDGI scale is based on computations of patients’ gait measurements from 4GAIT-Parkinson multimodal database [2]. The Motion Data Editor (MDE) [3] – a client part of distributed system, has been extended with modules computing and classifying gait indexes from motion data and collective scoring. For each PD data trial, MDE allows the simultaneous processing and visualization of four video data streams and more than five hundred independent kinematic and kinetic modalities, synchronized in time during measurement. Video recordings are the basis for the subjective UPDRS assessment by each of the experts. At the same time, the assessment result is a reference for comparison with the calculated PDGIs.
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Kulbacki, M. et al. (2015). Expert Group Collaboration Tool for Collective Diagnosis of Parkinson Disease. In: Nguyen, N., Trawiński, B., Kosala, R. (eds) Intelligent Information and Database Systems. ACIIDS 2015. Lecture Notes in Computer Science(), vol 9012. Springer, Cham. https://doi.org/10.1007/978-3-319-15705-4_24
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DOI: https://doi.org/10.1007/978-3-319-15705-4_24
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