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.
|Number of pages||8|
|Journal||Procedia Computer Science|
|Publication status||Published - 2014 Jan 1|
|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
- Computer Science(all)