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Adaptive windowing for gait phase discrimination in Parkinsonian gait using 3-axis acceleration signals

  • Jonghee HanEmail author
  • Hyo Seon Jeon
  • Won Jin Yi
  • Beom Seok Jeon
  • Kwang Suk Park
Original Article

Abstract

In order to robustly analyze the gait of Parkinson’s disease (PD) patients, a new gait phase discrimination method was developed for analyzing the three-axis accelerations of the ankle during walking. The magnitude of acceleration was compared with the lowpass-filtered signal of itself and pseudo foot-flat phases were determined. Four narrow windows were made sequentially and adaptively from the pseudo foot-flat phases. Each window contained a characteristic peak that discriminated the gait phases. From these windows, the initial contact (IC) point and end contact (EC) point were determined by finding the maximal point in the proximal–distal acceleration. Seven healthy individuals and 17 PD patients were subjected to a walking test on level ground for a distance of 6.5 m with the wearable activity monitoring system (W-AMS). Foot pressure and movement images were simultaneously recorded as references. The ICs and ECs detected by the proposed algorithm were compared with the manually marked events in the foot pressure signals. In healthy subjects, all the ICs and ECs were correctly detected. In the PD group, the detection accuracy was 97.6% for the ICs and 99.4% for the ECs. Based on these results, this novel method holds promise for use in monitoring temporal gait parameters continuously in PD patients, which will subsequently allow for the evaluation of motor fluctuations in PD patients.

Keywords

Gait phase discrimination Parkinson disease Wearable activity monitoring system 

Notes

Acknowledgments

This study was supported by the Korean Science and Engineering Foundation under Advanced Biometric Research Center Program.

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Copyright information

© International Federation for Medical and Biological Engineering 2009

Authors and Affiliations

  • Jonghee Han
    • 1
    Email author
  • Hyo Seon Jeon
    • 2
  • Won Jin Yi
    • 3
  • Beom Seok Jeon
    • 4
  • Kwang Suk Park
    • 2
  1. 1.Department of Biomedical EngineeringHanyang UniversitySeoulKorea
  2. 2.Department of Biomedical Engineering, Medical Research CenterSeoul National UniversitySeoulKorea
  3. 3.Department of Oral and Maxillofacial Radiology, Dental Research Institute, and BK21Seoul National UniversitySeoulKorea
  4. 4.Department of NeurologySeoul National University HospitalSeoulKorea

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