Literature DB >> 19163993

Measurement and evaluation of finger tapping movements using magnetic sensors.

Keisuke Shima1, Toshio Tsuji, Eriko Kan, Akihiko Kandori, Masaru Yokoe, Saburo Sakoda.   

Abstract

This paper proposes a quantitative measurement and evaluation method of finger tapping movements for diagnosis support and assessment of motor function. In this method, a magnetic sensor consisting of two coils is used to measure movement. The coil voltage induced by the electromagnetic induction law changes depending on the distance between the two coils; this enables estimation of the distance between two coil-bearing fingertips from the voltage measured by the nonlinear modeling relationships between the voltages and distances. Further, the finger movements measured are evaluated by computing ten indices such as the finger tapping interval, and radar charts of the evaluation indices and phase-plane trajectories of the finger movements are then displayed in real time on a monitor. Evaluation experiments were performed on finger movement in 16 Parkinson's disease patients and 32 normal elderly subjects, with the results showing that all evaluation indices differ significantly for each subject (p << 0.05).

Entities:  

Mesh:

Year:  2008        PMID: 19163993     DOI: 10.1109/IEMBS.2008.4650490

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  6 in total

1.  Quantifying Parkinson's disease finger-tapping severity by extracting and synthesizing finger motion properties.

Authors:  Yuko Sano; Akihiko Kandori; Keisuke Shima; Yuki Yamaguchi; Toshio Tsuji; Masafumi Noda; Fumiko Higashikawa; Masaru Yokoe; Saburo Sakoda
Journal:  Med Biol Eng Comput       Date:  2016-03-31       Impact factor: 2.602

2.  Automatic assessment of the motor state of the Parkinson's disease patient--a case study.

Authors:  Bozena Kostek; Katarzyna Kaszuba; Pawel Zwan; Piotr Robowski; Jaroslaw Slawek
Journal:  Diagn Pathol       Date:  2012-02-19       Impact factor: 2.644

3.  Quantitative assessment of parkinsonian bradykinesia based on an inertial measurement unit.

Authors:  Houde Dai; Haijun Lin; Tim C Lueth
Journal:  Biomed Eng Online       Date:  2015-07-12       Impact factor: 2.819

4.  Quantification of Finger-Tapping Angle Based on Wearable Sensors.

Authors:  Milica Djurić-Jovičić; Nenad S Jovičić; Agnes Roby-Brami; Mirjana B Popović; Vladimir S Kostić; Antonije R Djordjević
Journal:  Sensors (Basel)       Date:  2017-01-25       Impact factor: 3.576

5.  Measurement and Evaluation of Finger Tapping Movements Using Log-linearized Gaussian Mixture Networks.

Authors:  Keisuke Shima; Toshio Tsuji; Akihiko Kandori; Masaru Yokoe; Saburo Sakoda
Journal:  Sensors (Basel)       Date:  2009-03-26       Impact factor: 3.576

6.  Knowledge representation of motor activity of patients with Parkinson's disease.

Authors:  Bożena Kostek; Adam Kupryjanow; Andrzej Czyżewski
Journal:  Nat Comput       Date:  2014-12-31       Impact factor: 1.690

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.