Assessment and visualization of Parkinson's disease tremor

Jonathan Synnott; Liming Chen; CD Nugent; George Moore

doi:10.1109/ITAB.2010.5687746

Assessment and visualization of Parkinson's disease tremor

Jonathan Synnott, Liming Chen, CD Nugent, George Moore

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

7 Citations (Scopus)

Abstract

Current clinical methods of Parkinson's disease assessment are known to be subjective and potentially error prone. This paper presents a preliminary investigation into the development of a novel approach for the assessment of Parkinsonian tremor. The approach is based on a computer vision technique with the aim of providing a more objective, frequent, yet unobtrusive means of assessment. A method of tremor amplitude quantification is proposed, and 3D visualization techniques are exploited to provide an intuitive tool for the monitoring and assessment of Parkinson's disease. The approach developed has the potential to address the limitations and patient privacy concerns associated with video-based monitoring technology. Initial results following evaluation have demonstrated the viability and benefits of the approach, including objectiveness, repeatability and clarity of activity performance results.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	IEEE
Pages	1-4
Number of pages	4
ISBN (Print)	978-1-4244-6559-0
DOIs	https://doi.org/10.1109/ITAB.2010.5687746
Publication status	Published (in print/issue) - Nov 2010
Event	The 10th IEEE International Conference on Information Technology and Applications in Biomedicine (ITAB) - Duration: 1 Nov 2010 → …

Conference

Conference	The 10th IEEE International Conference on Information Technology and Applications in Biomedicine (ITAB)
Period	1/11/10 → …

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title = "Assessment and visualization of Parkinson's disease tremor",

abstract = "Current clinical methods of Parkinson's disease assessment are known to be subjective and potentially error prone. This paper presents a preliminary investigation into the development of a novel approach for the assessment of Parkinsonian tremor. The approach is based on a computer vision technique with the aim of providing a more objective, frequent, yet unobtrusive means of assessment. A method of tremor amplitude quantification is proposed, and 3D visualization techniques are exploited to provide an intuitive tool for the monitoring and assessment of Parkinson's disease. The approach developed has the potential to address the limitations and patient privacy concerns associated with video-based monitoring technology. Initial results following evaluation have demonstrated the viability and benefits of the approach, including objectiveness, repeatability and clarity of activity performance results.",

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AU - Chen, Liming

AU - Nugent, CD

AU - Moore, George

PY - 2010/11

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N2 - Current clinical methods of Parkinson's disease assessment are known to be subjective and potentially error prone. This paper presents a preliminary investigation into the development of a novel approach for the assessment of Parkinsonian tremor. The approach is based on a computer vision technique with the aim of providing a more objective, frequent, yet unobtrusive means of assessment. A method of tremor amplitude quantification is proposed, and 3D visualization techniques are exploited to provide an intuitive tool for the monitoring and assessment of Parkinson's disease. The approach developed has the potential to address the limitations and patient privacy concerns associated with video-based monitoring technology. Initial results following evaluation have demonstrated the viability and benefits of the approach, including objectiveness, repeatability and clarity of activity performance results.

AB - Current clinical methods of Parkinson's disease assessment are known to be subjective and potentially error prone. This paper presents a preliminary investigation into the development of a novel approach for the assessment of Parkinsonian tremor. The approach is based on a computer vision technique with the aim of providing a more objective, frequent, yet unobtrusive means of assessment. A method of tremor amplitude quantification is proposed, and 3D visualization techniques are exploited to provide an intuitive tool for the monitoring and assessment of Parkinson's disease. The approach developed has the potential to address the limitations and patient privacy concerns associated with video-based monitoring technology. Initial results following evaluation have demonstrated the viability and benefits of the approach, including objectiveness, repeatability and clarity of activity performance results.

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DO - 10.1109/ITAB.2010.5687746

M3 - Conference contribution

SN - 978-1-4244-6559-0

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PB - IEEE

T2 - The 10th IEEE International Conference on Information Technology and Applications in Biomedicine (ITAB)

Y2 - 1 November 2010

ER -

Assessment and visualization of Parkinson's disease tremor

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