Early Diagnosis of Parkinson's disease using a smartphone

Kun Chan Lan, Wen Yuah Shih

Research output: Contribution to journalConference articlepeer-review

18 Citations (Scopus)

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 languageEnglish
Pages (from-to)305-312
Number of pages8
JournalProcedia Computer Science
Volume34
DOIs
Publication statusPublished - 2014
Event9th 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 172014 Aug 20

All Science Journal Classification (ASJC) codes

  • General Computer Science

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