Deep Analysis of Handwritten Notes for Early Diagnosis of Neurological Disorders

摘要

Parkinson’s is not just an older person’s disease. Although, it is typically diagnosed around the age of 60 or later, however, usually the symptoms of Parkinson’s may start at 50 years old or even earlier. Usually, the symptoms of Parkinson’s appears when approximately 70% of the dopamine-producing cells have stopped working normally. Evidence suggests that early diagnosis of Parkinson’s disease leads to an effective path to manage its symptoms efficiently. However, the diagnosis of Parkinson’s is challenging, especially in its early stage. Handwriting abnormalities are majorly used for diagnosis of Parkinson’s disease (PD) have handwriting abnormalities. Selecting a writing task can affect the diagnosis performance. In this paper, we analyzed different writing task for Parkinson patient to select an optimal writing task that could help to improve the diagnosis performance. We have used transfer learning based strategies and used different methods to select an optimal writing task. Extensive evaluation of different writing styles showed that complex task are much better in diagnosis of Parkinson disease in comparison to simple task, however, further research is warranted to gain better insight into analysis of complex task.