Abstract
Diagnosing Parkinson's disease (PD) is often difficult, especially in its early stages. It has been estimated that nearly 40% of people with the disease may not be diagnosed. Traditionally, the diagnosis of Parkinson's disease often requires a doctor to observe the patient over time to recognize signs of rigidity. In this work, we propose a PDR-based method to continuously monitor and record the patient's gait characteristics using a smart-phone. Our tool could be useful in providing an early warning to the PD patient to seek medical assistance and help the doctor diagnose the disease earlier.
Original language | English |
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Pages (from-to) | 305-312 |
Number of pages | 8 |
Journal | Procedia Computer Science |
Volume | 34 |
DOIs | |
Publication status | Published - 2014 |
Event | 9th International Conference on Future Networks and Communications, FNC 2014 and the 11th International Conference on Mobile Systems and Pervasive Computing, MobiSPC 2014 - Niagara Falls, ON, Canada Duration: 2014 Aug 17 → 2014 Aug 20 |
All Science Journal Classification (ASJC) codes
- General Computer Science