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Estimation of Physiological Tremor from Accelerometers for Real-Time Applications

Accurate filtering of physiological tremor is extremely important in robotics assisted surgical instruments and procedures. This paper focuses on developing single stage robust algorithms for accurate tremor filtering with accelerometers for real-time applications. Existing methods rely on estimatin...

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Detalles Bibliográficos
Autores principales: Veluvolu, Kalyana C., Ang, Wei Tech
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231635/
https://www.ncbi.nlm.nih.gov/pubmed/22163783
http://dx.doi.org/10.3390/s110303020
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author Veluvolu, Kalyana C.
Ang, Wei Tech
author_facet Veluvolu, Kalyana C.
Ang, Wei Tech
author_sort Veluvolu, Kalyana C.
collection PubMed
description Accurate filtering of physiological tremor is extremely important in robotics assisted surgical instruments and procedures. This paper focuses on developing single stage robust algorithms for accurate tremor filtering with accelerometers for real-time applications. Existing methods rely on estimating the tremor under the assumption that it has a single dominant frequency. Our time-frequency analysis on physiological tremor data revealed that tremor contains multiple dominant frequencies over the entire duration rather than a single dominant frequency. In this paper, the existing methods for tremor filtering are reviewed and two improved algorithms are presented. A comparative study is conducted on all the estimation methods with tremor data from microsurgeons and novice subjects under different conditions. Our results showed that the new improved algorithms performed better than the existing algorithms for tremor estimation. A procedure to separate the intended motion/drift from the tremor component is formulated.
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spelling pubmed-32316352011-12-07 Estimation of Physiological Tremor from Accelerometers for Real-Time Applications Veluvolu, Kalyana C. Ang, Wei Tech Sensors (Basel) Article Accurate filtering of physiological tremor is extremely important in robotics assisted surgical instruments and procedures. This paper focuses on developing single stage robust algorithms for accurate tremor filtering with accelerometers for real-time applications. Existing methods rely on estimating the tremor under the assumption that it has a single dominant frequency. Our time-frequency analysis on physiological tremor data revealed that tremor contains multiple dominant frequencies over the entire duration rather than a single dominant frequency. In this paper, the existing methods for tremor filtering are reviewed and two improved algorithms are presented. A comparative study is conducted on all the estimation methods with tremor data from microsurgeons and novice subjects under different conditions. Our results showed that the new improved algorithms performed better than the existing algorithms for tremor estimation. A procedure to separate the intended motion/drift from the tremor component is formulated. Molecular Diversity Preservation International (MDPI) 2011-03-07 /pmc/articles/PMC3231635/ /pubmed/22163783 http://dx.doi.org/10.3390/s110303020 Text en © 2011 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Veluvolu, Kalyana C.
Ang, Wei Tech
Estimation of Physiological Tremor from Accelerometers for Real-Time Applications
title Estimation of Physiological Tremor from Accelerometers for Real-Time Applications
title_full Estimation of Physiological Tremor from Accelerometers for Real-Time Applications
title_fullStr Estimation of Physiological Tremor from Accelerometers for Real-Time Applications
title_full_unstemmed Estimation of Physiological Tremor from Accelerometers for Real-Time Applications
title_short Estimation of Physiological Tremor from Accelerometers for Real-Time Applications
title_sort estimation of physiological tremor from accelerometers for real-time applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231635/
https://www.ncbi.nlm.nih.gov/pubmed/22163783
http://dx.doi.org/10.3390/s110303020
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