Literature DB >> 15140567

Quantitative magnetic detection of finger movements in patients with Parkinson's disease.

Akihiko Kandori1, Masaru Yokoe, Saburo Sakoda, Kazuo Abe, Tsuyoshi Miyashita, Hiroshi Oe, Hiroaki Naritomi, Kuniomi Ogata, Keiji Tsukada.   

Abstract

To develop a new measurement tool for quantitatively detecting the finger movement of a patient with Parkinson's disease (PD), we designed a magnetic sensing system consisting of a magnetic induction coil, a sensing coil, and a circuit unit. The sensing coil detects the inducted magnetic field that varies with the distance between the two coils, and the detected signals are demodulated in the circuit unit in order to obtain the variation voltage from the oscillation frequency. To obtain a coefficient for converting voltage to distance, we measured the output voltages for seven fixed finger positions of 12 normal volunteers. The voltage differences corresponding to the finger movement in 20 PD patients, six age-matched controls, and 12 normal volunteers were then recorded for 30s. To investigate the velocity and acceleration of the finger movement, we calculated their waveforms from the measured displacement waveform. We also detected the main frequency of the tapping rhythm by using a fast Fourier transform (FFT). The averaged amplitude of each waveform decreased with the disorder in the Hoehn-Yahr (HY) stage, while the averaged tapping frequency of PD patients did not have any correlation with this stage. It can be concluded that this magnetic sensing system can assess finger movement quantitatively.

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Year:  2004        PMID: 15140567     DOI: 10.1016/j.neures.2004.03.004

Source DB:  PubMed          Journal:  Neurosci Res        ISSN: 0168-0102            Impact factor:   3.304


  11 in total

1.  Quantification of bradykinesia during clinical finger taps using a gyrosensor in patients with Parkinson's disease.

Authors:  Ji-Won Kim; Jae-Ho Lee; Yuri Kwon; Chul-Seung Kim; Gwang-Moon Eom; Seong-Beom Koh; Do-Young Kwon; Kun-Woo Park
Journal:  Med Biol Eng Comput       Date:  2010-10-30       Impact factor: 2.602

2.  Validation studies of the human movement analysis panel for hand/arm performance.

Authors:  Charles D Smith; Ashley Walton; John T Slevin; Greg A Gerhardt; Gloria Umberger; Kyle Smoot; Emily Schulze; Don Gash
Journal:  J Neurosci Methods       Date:  2007-06-22       Impact factor: 2.390

3.  The modified bradykinesia rating scale for Parkinson's disease: reliability and comparison with kinematic measures.

Authors:  Dustin A Heldman; Joseph P Giuffrida; Robert Chen; Megan Payne; Filomena Mazzella; Andrew P Duker; Alok Sahay; Sang Jin Kim; Fredy J Revilla; Alberto J Espay
Journal:  Mov Disord       Date:  2011-04-29       Impact factor: 10.338

4.  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

5.  Gait and upper limb variability in Parkinson's disease patients with and without freezing of gait.

Authors:  Michael T Barbe; Martin Amarell; Anke H Snijders; Esther Florin; Eva-Lotte Quatuor; Eckhard Schönau; Gereon R Fink; Bastiaan R Bloem; Lars Timmermann
Journal:  J Neurol       Date:  2013-12-04       Impact factor: 4.849

6.  Automatic and objective assessment of alternating tapping performance in Parkinson's disease.

Authors:  Mevludin Memedi; Taha Khan; Peter Grenholm; Dag Nyholm; Jerker Westin
Journal:  Sensors (Basel)       Date:  2013-12-09       Impact factor: 3.576

7.  Quantitative Assessment of the Arm/Hand Movements in Parkinson's Disease Using a Wireless Armband Device.

Authors:  Sofija Spasojević; Tihomir V Ilić; Ivan Stojković; Veljko Potkonjak; Aleksandar Rodić; José Santos-Victor
Journal:  Front Neurol       Date:  2017-08-11       Impact factor: 4.003

8.  Repurposing bromocriptine for Aβ metabolism in Alzheimer's disease (REBRAnD) study: randomised placebo-controlled double-blind comparative trial and open-label extension trial to investigate the safety and efficacy of bromocriptine in Alzheimer's disease with presenilin 1 (PSEN1) mutations.

Authors:  Takayuki Kondo; Haruhiko Banno; Hidekazu Tomimoto; Haruhisa Inoue; Taro Okunomiya; Yoko Amino; Kayoko Endo; Akiyoshi Nakakura; Ryuji Uozumi; Akemi Kinoshita; Harue Tada; Satoshi Morita; Hidehiro Ishikawa; Akihiro Shindo; Ken Yasuda; Yosuke Taruno; Takakuni Maki; Takashi Suehiro; Kohji Mori; Manabu Ikeda; Koji Fujita; Yuishin Izumi; Kazutomi Kanemaru; Kenji Ishii; Kazue Shigenobu; Yumiko Kutoku; Yoshihide Sunada; Shinobu Kawakatsu; Shunji Shiota; Toshifumi Watanabe; Osamu Uchikawa; Ryosuke Takahashi
Journal:  BMJ Open       Date:  2021-06-30       Impact factor: 2.692

9.  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

Review 10.  Technologies Assessing Limb Bradykinesia in Parkinson's Disease.

Authors:  Hasan Hasan; Dilan S Athauda; Thomas Foltynie; Alastair J Noyce
Journal:  J Parkinsons Dis       Date:  2017       Impact factor: 5.568

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