Poster Open Access
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
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Data volume | 48.4 MB | 48.4 MB |
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Unique downloads | 48 | 48 |