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Authors: V. Vigneron 1 ; T. Syed 2 and Hsin Chen 3

Affiliations: 1 Université d’Evry, France ; 2 National University of Computer and Emerging Sciences, Pakistan ; 3 National Tsing Hua University, Taiwan

Keyword(s): Parkinson, Animal Experiment, HVS, Eigen Decomposition, Detection, Sensor Grid.

Abstract: Parkinson’s disease is a progressive neurodegenerative disorder which can be characterized by several symptoms such as tremor, slowness of movements, bradykinesia/akinesia and absence of postural reflexes . . . and affects 10 million people worldwide. This paper develops a novel strategy for treating patients with PD: silence High-Voltage-Spindle that resemble the pathophysiological b-waves and contribute to the development of b-waves. Silencing HVSs is expected to delay or even prevent the development of b-waves and thus the progression of PD motor symptoms. High-voltage spindles (HVSs) are observed during waking immobility of patients. In this study, the local field potentials collected from the lesioned and control rats on multiple channels were analyzed with an online detection algorithm to identify the characteristic scillations of HVSs from the second-order statistical properties of the signals and the detection performance is investigated to obtain the optimal choices. These r esults provide further motivation for the real-time implementation of the automatic HVS detection systems with improved performance for pathophysiological and therapeutic applications to the thalamocortical network dysfunctions. (More)

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Paper citation in several formats:
Vigneron, V.; Syed, T. and Chen, H. (2015). Automatic Detection of High-voltage Spindles for Parkinson’s Disease. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2015) - MPBS; ISBN 978-989-758-069-7; ISSN 2184-4305, SciTePress, pages 372-378. DOI: 10.5220/0005328503720378

@conference{mpbs15,
author={V. Vigneron. and T. Syed. and Hsin Chen.},
title={Automatic Detection of High-voltage Spindles for Parkinson’s Disease},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2015) - MPBS},
year={2015},
pages={372-378},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005328503720378},
isbn={978-989-758-069-7},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2015) - MPBS
TI - Automatic Detection of High-voltage Spindles for Parkinson’s Disease
SN - 978-989-758-069-7
IS - 2184-4305
AU - Vigneron, V.
AU - Syed, T.
AU - Chen, H.
PY - 2015
SP - 372
EP - 378
DO - 10.5220/0005328503720378
PB - SciTePress

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