The detection of freezing of gait in Parkinson's disease using asymmetric basis function TV-ARMA time-frequency spectral estimation method

Guo, Y., Wang, L., Li, Y. et al. (2 more authors) (2019) The detection of freezing of gait in Parkinson's disease using asymmetric basis function TV-ARMA time-frequency spectral estimation method. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27 (10). pp. 2077-2086. ISSN 1534-4320

Abstract

Metadata

Authors/Creators:
  • Guo, Y.
  • Wang, L.
  • Li, Y.
  • Guo, L.
  • Meng, F.
Copyright, Publisher and Additional Information: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: Freezing of Gait (FOG); Freeze index (FI); timefrequency spectral estimation (TFSE); time-varying autoregressive moving average (TV-ARMA) model; asymmetric basis function; wearable inertial sensor
Dates:
  • Accepted: 22 August 2019
  • Published (online): 29 August 2019
  • Published: 29 August 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 17 Oct 2019 09:57
Last Modified: 29 Aug 2020 00:38
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: https://doi.org/10.1109/tnsre.2019.2938301

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