A novel accelerometer-based method for the real-time assessment of Parkinson's tremor

Honghua Zhang; Xiaoyu Chen; Wen Yen Lin; Wen Cheng Chou; Ming Yih Lee

doi:10.1109/ICCPS.2014.7062224

A novel accelerometer-based method for the real-time assessment of Parkinson's tremor

Honghua Zhang, Xiaoyu Chen, Wen Yen Lin, Wen Cheng Chou, Ming Yih Lee

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Parkinson's disease is the second most common neurodegenerative disease. Tremor is an early symptom for about 70% of patients with Parkinson's disease. Accelerometers have been widely used for the detecting of the tremor signals. There were also several signal processing methods have been proposed to assess and quantify the tremor behavior of the Parkinson's disease, such as the power spectral density and wavelet analysis, etc. In this paper, we present a novel method, suitable for the real-time implementation of assessing Parkinson's tremor, based on a low-cost accelerometer sensing system.

Original language	English
Title of host publication	2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	87-90
Number of pages	4
ISBN (Electronic)	9781479942466
DOIs	https://doi.org/10.1109/ICCPS.2014.7062224
State	Published - 17 03 2014
Event	2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014 - Beijing, China Duration: 05 12 2014 → 07 12 2014

Publication series

Name	2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014

Conference

Conference	2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014
Country/Territory	China
City	Beijing
Period	05/12/14 → 07/12/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Access to Document

10.1109/ICCPS.2014.7062224

Cite this

Zhang, H., Chen, X., Lin, W. Y., Chou, W. C., & Lee, M. Y. (2014). A novel accelerometer-based method for the real-time assessment of Parkinson's tremor. In 2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014 (pp. 87-90). Article 7062224 (2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCPS.2014.7062224

Zhang, Honghua ; Chen, Xiaoyu ; Lin, Wen Yen et al. / A novel accelerometer-based method for the real-time assessment of Parkinson's tremor. 2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 87-90 (2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014).

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title = "A novel accelerometer-based method for the real-time assessment of Parkinson's tremor",

abstract = "Parkinson's disease is the second most common neurodegenerative disease. Tremor is an early symptom for about 70% of patients with Parkinson's disease. Accelerometers have been widely used for the detecting of the tremor signals. There were also several signal processing methods have been proposed to assess and quantify the tremor behavior of the Parkinson's disease, such as the power spectral density and wavelet analysis, etc. In this paper, we present a novel method, suitable for the real-time implementation of assessing Parkinson's tremor, based on a low-cost accelerometer sensing system.",

author = "Honghua Zhang and Xiaoyu Chen and Lin, {Wen Yen} and Chou, {Wen Cheng} and Lee, {Ming Yih}",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014 ; Conference date: 05-12-2014 Through 07-12-2014",

year = "2014",

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day = "17",

doi = "10.1109/ICCPS.2014.7062224",

language = "英语",

series = "2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014",

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Zhang, H, Chen, X, Lin, WY, Chou, WC & Lee, MY 2014, A novel accelerometer-based method for the real-time assessment of Parkinson's tremor. in 2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014., 7062224, 2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014, Institute of Electrical and Electronics Engineers Inc., pp. 87-90, 2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014, Beijing, China, 05/12/14. https://doi.org/10.1109/ICCPS.2014.7062224

A novel accelerometer-based method for the real-time assessment of Parkinson's tremor. / Zhang, Honghua; Chen, Xiaoyu; Lin, Wen Yen et al.
2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 87-90 7062224 (2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Chou, Wen Cheng

AU - Lee, Ming Yih

PY - 2014/3/17

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AB - Parkinson's disease is the second most common neurodegenerative disease. Tremor is an early symptom for about 70% of patients with Parkinson's disease. Accelerometers have been widely used for the detecting of the tremor signals. There were also several signal processing methods have been proposed to assess and quantify the tremor behavior of the Parkinson's disease, such as the power spectral density and wavelet analysis, etc. In this paper, we present a novel method, suitable for the real-time implementation of assessing Parkinson's tremor, based on a low-cost accelerometer sensing system.

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M3 - 会议稿件

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PB - Institute of Electrical and Electronics Engineers Inc.

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Zhang H, Chen X, Lin WY, Chou WC, Lee MY. A novel accelerometer-based method for the real-time assessment of Parkinson's tremor. In 2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 87-90. 7062224. (2014 IEEE International Conference on Communication Problem-Solving, ICCP 2014). doi: 10.1109/ICCPS.2014.7062224

A novel accelerometer-based method for the real-time assessment of Parkinson's tremor

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