Wireless body area sensor network for posture and gait monitoring of individuals with Parkinson's disease

Ziqian Dong, Huanying Gu, Yu Wan, Wenjie Zhuang, Roberto Rojas-Cessa, Ely Rabin

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

7 Scopus citations

Abstract

This paper presents a wireless body area sensor network that detects and records real-Time posture and gait kinematic data from individuals with Parkinson's disease. The network comprises wearable sensors placed at lower limbs and back of a human body to measure user's kinematics. The collected data are transmitted wirelessly to a receiver and stored in cloud-based database. The time series kinematic data is interpreted with adaptive fractal analysis (AFA) to differentiate a healthy subject from another with PD.We use frequency analysis to differentiate spontaneous movement from cued movement of clinical evaluations of several persons with Parkinson disease (PD).

Original languageEnglish (US)
Title of host publicationICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages81-86
Number of pages6
ISBN (Electronic)9781479980697
DOIs
StatePublished - Jun 1 2015
Externally publishedYes
Event2015 12th IEEE International Conference on Networking, Sensing and Control, ICNSC 2015 - Taipei, Taiwan, Province of China
Duration: Apr 9 2015Apr 11 2015

Publication series

NameICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control

Other

Other2015 12th IEEE International Conference on Networking, Sensing and Control, ICNSC 2015
CountryTaiwan, Province of China
CityTaipei
Period4/9/154/11/15

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Control and Systems Engineering
  • Computer Networks and Communications

Keywords

  • Parkinson's disease
  • Wireless sensors
  • body area network
  • frequency analysis
  • gait
  • posture
  • time series data analysis

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