Name
Abstract | ||
|---|---|---|
A new approach for the assessment of motor symptoms caused by Parkinson's disease (PD), based on data recorded using a smart mobile phone, is presented in this manuscript. Data were obtained from the online platform kaggle.com, and were analyzed based on machine learning techniques to produce a comprehensive physician report, presenting motor symptoms in everyday life. The idea of this study is to... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/SEEDA-CECNSM53056.2021.9566225 | 2021 6th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM) |
Keywords | DocType | ISBN |
Parkinson's disease (PD),Motor Symptoms,Remote Monitoring,Wearable Devices,passive monitoring | Conference | 978-1-6654-2742-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vasiliki Fiska | 1 | 0 | 0.34 |
| Vasiliki Gakilazou | 2 | 0 | 0.34 |
| Nikolaos S. Katertsidis | 3 | 24 | 2.74 |
| Alexandros T. Tzallas | 4 | 225 | 27.88 |
| Nikolaos Giannakeas | 5 | 43 | 12.59 |
| Markos G. Tsipouras | 6 | 372 | 30.51 |