ログイン 新規登録
言語:

WEKO3

  • トップ
  • ランキング
To
lat lon distance
To

Field does not validate



インデックスリンク

インデックスツリー

メールアドレスを入力してください。

WEKO

One fine body…

WEKO

One fine body…

アイテム

  1. 研究報告
  2. ヒューマンコンピュータインタラクション(HCI)
  3. 2022
  4. 2022-HCI-197

Recognition of Finger Movement Disability Level of Post-Stroke Patient Based on Fugl-Meyer Assessment Using Surface EMG

https://ipsj.ixsq.nii.ac.jp/records/217429
https://ipsj.ixsq.nii.ac.jp/records/217429
b24da240-63c4-45aa-a917-6564dbd8c90d
名前 / ファイル ライセンス アクション
IPSJ-HCI22197010.pdf IPSJ-HCI22197010.pdf (1.4 MB)
Copyright (c) 2022 by the Information Processing Society of Japan
オープンアクセス
Item type SIG Technical Reports(1)
公開日 2022-03-07
タイトル
タイトル Recognition of Finger Movement Disability Level of Post-Stroke Patient Based on Fugl-Meyer Assessment Using Surface EMG
タイトル
言語 en
タイトル Recognition of Finger Movement Disability Level of Post-Stroke Patient Based on Fugl-Meyer Assessment Using Surface EMG
言語
言語 eng
キーワード
主題Scheme Other
主題 学習と支援
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_18gh
資源タイプ technical report
著者所属
Kobe University
著者所属
Kobe University
著者所属
Airlangga University-Dr. Soetomo General Hospital
著者所属
Kobe University
著者所属
Kobe University
著者所属(英)
en
Kobe University
著者所属(英)
en
Kobe University
著者所属(英)
en
Airlangga University-Dr. Soetomo General Hospital
著者所属(英)
en
Kobe University
著者所属(英)
en
Kobe University
著者名 Adhe, Rahmatullah Sugiharto

× Adhe, Rahmatullah Sugiharto

Adhe, Rahmatullah Sugiharto

Search repository
Shuhei, Tsuchida

× Shuhei, Tsuchida

Shuhei, Tsuchida

Search repository
I, Putu Alit Pawana

× I, Putu Alit Pawana

I, Putu Alit Pawana

Search repository
Tsutomu, Terada

× Tsutomu, Terada

Tsutomu, Terada

Search repository
Masahiko, Tsukamoto

× Masahiko, Tsukamoto

Masahiko, Tsukamoto

Search repository
著者名(英) Adhe, Rahmatullah Sugiharto

× Adhe, Rahmatullah Sugiharto

en Adhe, Rahmatullah Sugiharto

Search repository
Shuhei, Tsuchida

× Shuhei, Tsuchida

en Shuhei, Tsuchida

Search repository
I, Putu Alit Pawana

× I, Putu Alit Pawana

en I, Putu Alit Pawana

Search repository
Tsutomu, Terada

× Tsutomu, Terada

en Tsutomu, Terada

Search repository
Masahiko, Tsukamoto

× Masahiko, Tsukamoto

en Masahiko, Tsukamoto

Search repository
論文抄録
内容記述タイプ Other
内容記述 Regaining finger movement function is thought to be more challenging during rehabilitation because its muscle complexity. Thus, Fugl-Meyer Assessment (FMA) is employed by a doctor to evaluate manually the disability level of the finger movement. This will lead to subjectivity and risk of mistake during assessment. Thus, a system capable of predicting the disability level is required to aid the doctor in making more accurate judgement. This study aims to recognize the finger movement disability level based on Fugl-Meyer Assessment. The EMG recorded from 4 patients when they performed 7 movements based on FMA and extracting the time domain feature values. SVM and Random Forest were employed in classifying the disability level of each movement. SVM classifier could obtain better output in movement 4 which was 91.67% of accuracy and 0.78 of f1 score.
論文抄録(英)
内容記述タイプ Other
内容記述 Regaining finger movement function is thought to be more challenging during rehabilitation because its muscle complexity. Thus, Fugl-Meyer Assessment (FMA) is employed by a doctor to evaluate manually the disability level of the finger movement. This will lead to subjectivity and risk of mistake during assessment. Thus, a system capable of predicting the disability level is required to aid the doctor in making more accurate judgement. This study aims to recognize the finger movement disability level based on Fugl-Meyer Assessment. The EMG recorded from 4 patients when they performed 7 movements based on FMA and extracting the time domain feature values. SVM and Random Forest were employed in classifying the disability level of each movement. SVM classifier could obtain better output in movement 4 which was 91.67% of accuracy and 0.78 of f1 score.
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AA1221543X
書誌情報 研究報告ヒューマンコンピュータインタラクション(HCI)

巻 2022-HCI-197, 号 10, p. 1-8, 発行日 2022-03-07
ISSN
収録物識別子タイプ ISSN
収録物識別子 2188-8760
Notice
SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
出版者
言語 ja
出版者 情報処理学会
戻る
0
views
See details
Views

Versions

Ver.1 2025-01-19 15:30:04.734053
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Cite as

エクスポート

OAI-PMH
  • OAI-PMH JPCOAR
  • OAI-PMH DublinCore
  • OAI-PMH DDI
Other Formats
  • JSON
  • BIBTEX

Confirm


Powered by WEKO3


Powered by WEKO3