Medical evaluation as gold standard to control iPrognosis application derived data for early Parkinson's disease detection
| Main Authors: | Lisa Klingelhoefer, Sevasti Bostanjopoulou, Dhaval Trivedi, Stelios Hadjidimitriou, Simone Mayer, Zoe Katsarou, Vasileios Charisis, Michael Stadtschnitzer, Sofia Dias, George Ntakakis, Nikos Grammalidis, Konstantions Kyritsis, Hagen Jaeger, Dimitrios Iakovakis, Ioannis Ioakeimidis, Fotis Karayiannis, José Diniz, Anastasios Delopoulos, Leontios Hadjileontiadis, Heinz Reichmann, Kallol Ray Chaudhuri |
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| Format: | Proceeding poster Journal |
| Terbitan: |
, 2020
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| Online Access: |
https://zenodo.org/record/3678617 |
Daftar Isi:
- Smartphones have the ability of longitudinal, unobtrusive, remote real-life recognition and monitoring of people's behavior and of specific behavioral pattern. The i-PROGNOSIS approach is promosing as both, the iPrognosis App derived behavioral pattern and the medical evaluation of Parkinson`s disease symptoms by a movement disorders specialist as gold standard differentiate patients with Parkinson`s disease and healthy controls.