Poster Open Access
Medical evaluation as gold standard to control iPrognosis application derived data for early Parkinson's disease detection
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
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.
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Poster_iPrognosis_MDS Nice 2019_FINAL.pdf
md5:22364d6597529b2b58645be96408eada |
930.2 kB | Download |
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| Views | 45 | 45 |
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| Data volume | 30.7 MB | 30.7 MB |
| Unique views | 40 | 40 |
| Unique downloads | 31 | 31 |
- Publication date:
- February 21, 2020
- DOI:
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- Grants:
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European Commission:
- i-PROGNOSIS - Intelligent Parkinson eaRly detectiOn Guiding NOvel Supportive InterventionS (690494)
- License (for files):
- Creative Commons Attribution 4.0 International