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| Smart App for PD |
| Keywords | Android app development, signal processing, inertial sensors, movement analysis + |
|---|---|
| Level | Master + |
| OneLineSummary | A smart-watch app for monitoring symptoms in Parkinson's Disease + |
| Prerequisites | courses in signal analysis or image analysis, design of embedded intelligent systems, and programming are required. Previous experience with Java or app development and courses in artificial intelligence are appreciated. + |
| References | Pérez-López, Carlos, et al. "Monitoring Mo … Pérez-López, Carlos, et al. "Monitoring Motor Fluctuations in Parkinson’s Disease Using a Waist-Worn Inertial Sensor." Advances in Computational Intelligence. Springer International Publishing, 2015. 461-474. LeMoyne, Robert, and Timothy Mastroianni. "Use of Smartphones and Portable Media Devices for Quantifying Human Movement Characteristics of Gait, Tendon Reflex Response, and Parkinson’s Disease Hand Tremor." Mobile Health Technologies: Methods and Protocols (2015): 335-358.es: Methods and Protocols (2015): 335-358. |
| StudentProjectStatus | Open + |
| Supervisors | Anita Sant'Anna + |
| Title | Smart App for PD + |
| Categories | StudentProject + |
| Modification dateThis property is a special property in this wiki. | 25 September 2015 13:22:58 + |
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