Literature DB >> 9210577

Adaptive Fourier modeling for quantification of tremor.

C N Riviere1, S G Reich, N V Thakor.   

Abstract

A new computational method for quantification of tremor, the weighted frequency Fourier linear combiner (WFLC), is presented. This technique rapidly determines the frequency and amplitude of tremor by adjusting its filter weights according to a gradient search method. It provides continual tracking of frequency and amplitude modulations over the course of a test. By quantifying time-varying characteristics, the WFLC assists in correctly interpreting the results of spectral analysis, particularly for recordings exhibiting multiple spectral peaks. It therefore supplements spectral analysis, providing a more accurate picture of tremor than spectral analysis alone. The method has been incorporated into a desktop tremor measurement system to provide clinically useful analysis of tremor recorded during handwriting and drawing using a digitizing tablet. Simulated data clearly demonstrate tracking of variations in frequency and amplitude. Clinical recordings then show specific examples of quantification of time-varying aspects of tremor.

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Year:  1997        PMID: 9210577     DOI: 10.1016/s0165-0270(97)02263-2

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  9 in total

1.  Intraoperative acceleration measurements to quantify improvement in tremor during deep brain stimulation surgery.

Authors:  Ashesh Shah; Jérôme Coste; Jean-Jacques Lemaire; Ethan Taub; W M Michael Schüpbach; Claudio Pollo; Erik Schkommodau; Raphael Guzman; Simone Hemm-Ode
Journal:  Med Biol Eng Comput       Date:  2016-09-08       Impact factor: 2.602

2.  Finger tapping movements of Parkinson's disease patients automatically rated using nonlinear delay differential equations.

Authors:  C Lainscsek; P Rowat; L Schettino; D Lee; D Song; C Letellier; H Poizner
Journal:  Chaos       Date:  2012-03       Impact factor: 3.642

3.  Spinal cord integrity monitoring by adaptive coherence measurement.

Authors:  D L Sherman; V Wuyyuru; M Jason Brooke; H X Zhang; J P Sepkuty; N V Thakor; A Natarajan; A H All
Journal:  J Neurosci Methods       Date:  2010-08-06       Impact factor: 2.390

4.  IMU Motion Capture Method with Adaptive Tremor Attenuation in Teleoperation Robot System.

Authors:  Huijin Zhu; Xiaoling Li; Long Wang; Zhangyi Chen; Yueyang Shi; Shuai Zheng; Min Li
Journal:  Sensors (Basel)       Date:  2022-04-27       Impact factor: 3.847

5.  Estimation of physiological tremor from accelerometers for real-time applications.

Authors:  Kalyana C Veluvolu; Wei Tech Ang
Journal:  Sensors (Basel)       Date:  2011-03-07       Impact factor: 3.576

6.  Quantitative Assessment of Parkinsonian Tremor Based on an Inertial Measurement Unit.

Authors:  Houde Dai; Pengyue Zhang; Tim C Lueth
Journal:  Sensors (Basel)       Date:  2015-09-29       Impact factor: 3.576

7.  Personalised profiling to identify clinically relevant changes in tremor due to multiple sclerosis.

Authors:  David G Western; Simon A Neild; Rosemary Jones; Angela Davies-Smith
Journal:  BMC Med Inform Decis Mak       Date:  2019-08-16       Impact factor: 2.796

8.  Discrete Cosine Transform for the Analysis of Essential Tremor.

Authors:  Jordi Solé-Casals; Iker Anchustegui-Echearte; Pere Marti-Puig; Pilar M Calvo; Alberto Bergareche; José Ignacio Sánchez-Méndez; Karmele Lopez-de-Ipina
Journal:  Front Physiol       Date:  2019-01-17       Impact factor: 4.566

9.  Quantification of Head Tremors in Medical Conditions: A Comparison of Analyses Using a 2D Video Camera and a 3D Wireless Inertial Motion Unit.

Authors:  David Amarantini; Isabelle Rieu; Giovanni Castelnovo; Frédérique Fluchère; Chloé Laurencin; Bertrand Degos; Aurélia Poujois; Alexandre Kreisler; Sophie Sangla; Mélissa Tir; Isabelle Benatru; Geneviève Blanchet-Fourcade; Dominique Guehl; Dominique Gayraud; Laurent Tatu; Christine Tranchant; Franck Durif; Marion Simonetta-Moreau
Journal:  Sensors (Basel)       Date:  2022-03-19       Impact factor: 3.576

  9 in total

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