Scholarlink

Patients of Parkinson’s Disease may suffer movement difficulty. They may fall down. Therefore, they should be monitored all the time. A monitoring system which detects such difficulty and notify family or doctors will help protecting patients. In this paper we propose a model which may be used in such system to predict the happening of this difficulty. The model is based on Recurrent Neural Network trained on dataset collected for this purpose. The model achieved 99% of accuracy.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A Prediction Model Based On Recurrent Neural Network To Predict Freezing Of Gait Related To Parkinson’s Disease

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Yurub Awwad,
  • Amjad Rattrout,
  • Rashid Jayousi

摘要

Patients of Parkinson’s Disease may suffer movement difficulty. They may fall down. Therefore, they should be monitored all the time. A monitoring system which detects such difficulty and notify family or doctors will help protecting patients. In this paper we propose a model which may be used in such system to predict the happening of this difficulty. The model is based on Recurrent Neural Network trained on dataset collected for this purpose. The model achieved 99% of accuracy.