Need help?
For technical questions about your Moticon products
Want to say hello?
Drop us a message for general questions or inquiries
Want a live demo?
See our products live and ask your questions
Interested in prices?
Get an individual quote with the items you need
Always just a call away
+49 89 2000 301 60

Multimedia Tool and Applications

| 2018

Intelligent cyber-physical system for an efficient detection of Parkinson disease using fog computing

Parkinson’s disease is one of the notable neurodegenerative disorders caused by insufficient production of dopamine which damages the motor skills and voice. Advancement of the Internet of Things (IoT) has fuelled the development of healthcare systems. In this article, we propose an intelligent system for detecting Parkinson’s disease to provide proper medication by analysing voice samples. Instead of relying on limited storage capacity and computational resources of IoT, the recent healthcare systems take advantages of the cloud server. On the other hand, the utilization of cloud computing incurs the issues ofdata privacy and additional communication costs to the healthcare systems. To address this issue, we propose to utilize Fog computing as a midway layer between end devices and the cloud server. The proposed system employs the combinatorial Fuzzy K-nearest Neighbor and Case-based Reasoning classifier for the better classification of the Parkinson patients from healthy individuals. On the detection of abnormality, the proposed healthcare system is designed to generate an immediate alert to the patient. The proposed system is experimentally evaluated on the UCI-Parkinson dataset, and the results reveal the improved performance of our system over baseline approaches.


Internet of things, Fog computing, Cloud computing, FKNN-CBR, Parkinson’s disease, Hybrid classifier


Malathi Devarajan, Logesh Ravi

Institution / Department

School of Computing, SASTRA Deemed University, Thanjavur

The form was sent successfully.

You will be contacted shortly.


Stay one step ahead!

Subscribe to our newsletter for the latest information on case studies, webinars, product updates and company news

Get support

Check our FAQ database for answers to frequently asked questions!

Describe your issue in as much detail as possible. Include screenshots or files if applicable.

Have a general inquiry?

Write us a message for general questions about products and solutions or if you’d like to discuss other topics.