Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Intelligent Service Robotics
Erschienen in: Intelligent Service Robotics 4/2013

01.10.2013 | Original Research

Implementation of various control algorithms for hand rehabilitation exercise using wearable robotic hand

verfasst von: Useok Jeong, Hyun-Ki In, Kyu-Jin Cho

Erschienen in: Intelligent Service Robotics | Ausgabe 4/2013

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In this paper, the control algorithms for strength exercise using wearable robotic hand are reviewed and the experimental results are analyzed and discussed. The SNU Exo-Glove is a soft exoskeleton that actuates motor function in disabled hands. This new type of device comprises a jointless simple mechanical structure and is actuated with wires. The strength exercise algorithms include isotonic, isokinetic, and impedance control exercises. An electromyography (EMG) regulation algorithm is proposed to limit the maximum level of activation of the muscles to prevent injury of the muscles and joints. The tension of the wire and the sEMG signal are analyzed to validate the effectiveness of rehabilitation with SNU Exo-Glove.
Vorheriger Artikel Comparative evaluation of performance measures for human driving skills
Nächster Artikel Tracking control of a nonholonomic mobile robot using compound cosine function neural networks

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren
Literatur
1.
Chandrapal M, Chen X (2009) Intelligent active assistive and resistive orthotic device for knee rehabilitation. In: IEEE international conference on control and automation, pp 1880–1885
2.
Westlake K, Patten C (2009) Pilot study of Lokomat versus manual-assisted treadmill training for locomotor recovery post-stroke. J NeuroEng Rehabil 6(18)
3.
Housman SJ, Scott KM, Reinkensmeyer DJ (2009) A randomized controlled trial of gravity-supported, computer-enhanced arm exercise for individuals with severe hemiparesis. Neurorehabil Neural Repair 23(5):505–514CrossRef
4.
Nef T, Mihelj M, Kiefer G, Perndl C, Muller R, Riener R (2007) ARMin-exoskeleton for arm therapy in stroke patients. In: 2007 IEEE 10th international conference on rehabilitation, robotics, pp 68–74
5.
Wege A, Hommel G (2005) Development and control of a hand exoskeleton for rehabilitation of hand injuries. In: IEEE/RSJ international conference on intelligent robots and systems, pp 3046–3051
6.
Wang J, Li J, Zhang Y, Wang S (2009) Design of an exoskeleton for index finger rehabilitation. In: 31st Annual international conference of the IEEE EMBS, pp 5957–5960
7.
DiCicco M, Lucas L, Matsuoka Y (2004) Comparison of control strategies for an EMG controlled orthotic exoskeleton for the hand. In: 2004 IEEE international conference on robotics and automation, vol 2, pp 1622–1627
8.
Hasegawa Y, Mikami Y, Watanabe K, Firouzimehr Z, Sankai Y (2008) Wearable handling support system for paralyzed patient. In: IEEE/RSJ international conference on intelligent robots and systems, pp 741–746
9.
In H-K, Cho K-J, Kim KR, Lee BS (2011) Jointless structure and under-actuation mechanism for compact hand exoskeleton. In: Proceeding of the IEEE international conference on rehabilitation, robotics, pp 1–6
10.
In H-K, Cho K-J (2012) Evaluation of the antagonistic tendon driven system for SNU Exo-Glove. In: The 9th international conference on ubiquitous robots and ambient, intelligence, pp 507–509
11.
Guilhem G, Cornu C, Guevel A (2011) Muscle architecture and EMG activity changes during isotonic and isokinetic eccentric exercises. Eur J Appl Physiol 111(11):2723–2733CrossRef
12.
Carignan CR, Tang J (2008) A haptic control interface for a motorized exercise machine. In: IEEE international conference on robotics and automation, pp 2055–2060
13.
Colombo R, Pisano F, Micera S, Mazzone A, Delconte C, Carrozza MC, Dario P, Minuco G (2005) Robotic techniques for upper limb evaluation and rehabilitation of stroke patients. IEEE Trans Neural Syst Rehabil Eng 13:311–324CrossRef
14.
Wang D, Li J, Li C (2009) An adaptive haptic interaction architecture for knee rehabilitation robot. In: International conference on mechatronics and automation, pp 84–89
15.
Sin MK, Park DG, Cho KJ (2011) Comparison and evaluation of robotic strength rehabilitation algorithms: isokinetic, isotonic and shared control method. In: Proceeding of the international conference on advanced mechatronic systems (ICAMechS), pp 438–441
16.
Guilhem Gael, Cornu Christophe, Guevel Arnaud (2011) Muscle architecture and EMG activity changes during isotonic and isokinetic eccentric exercises. Eur J Appl Physiol 111(11):2723–2733CrossRef
17.
Hogan N (1985) Impedance control: an approach to manipulation-Part I: theory; Part II: implementation; Part III: applications. Trans ASME J Dyn Syst Measure Control 107(1):1–24CrossRefMATH
18.
Peer A, Buss M (2008) A new admittance-type haptic interface for bimanual manipulations. IEEE/ASME Trans Mechatron 13(4):416–428CrossRef
Metadaten
Titel
Implementation of various control algorithms for hand rehabilitation exercise using wearable robotic hand
verfasst von
Useok Jeong
Hyun-Ki In
Kyu-Jin Cho
Publikationsdatum
01.10.2013
Verlag
Springer Berlin Heidelberg
Erschienen in
Intelligent Service Robotics / Ausgabe 4/2013
Print ISSN: 1861-2776
Elektronische ISSN: 1861-2784
DOI
https://doi.org/10.1007/s11370-013-0135-5

Weitere Artikel der Ausgabe 4/2013

Intelligent Service Robotics 4/2013 Zur Ausgabe

Original Research

Multipoint potential field method for path planning of autonomous underwater vehicles in 3D space

Original Research

Comparative evaluation of performance measures for human driving skills

Original Research

Local map-based exploration for mobile robots

Original Research

Tracking control of a nonholonomic mobile robot using compound cosine function neural networks

Neuer Inhalt

    Bildnachweise