Early detection of neurological disease using a smartphone: A case study

Kun Chan Lan, Wen Yuah Shih

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 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
Title of host publication2015 9th International Conference on Sensing Technology, ICST 2015
PublisherIEEE Computer Society
Pages461-467
Number of pages7
ISBN (Electronic)9781479963140
DOIs
Publication statusPublished - 2016 Mar 21
Event9th International Conference on Sensing Technology, ICST 2015 - Auckland, New Zealand
Duration: 2015 Dec 82015 Dec 11

Publication series

NameProceedings of the International Conference on Sensing Technology, ICST
Volume2016-March
ISSN (Print)2156-8065
ISSN (Electronic)2156-8073

Other

Other9th International Conference on Sensing Technology, ICST 2015
Country/TerritoryNew Zealand
CityAuckland
Period15-12-0815-12-11

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Signal Processing
  • Electrical and Electronic Engineering

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