The clinical relevance of advanced artificial feedback in the control of a multi-functional myoelectric prosthesis

被引:89
作者
Markovic, Marko [1 ]
Schweisfurth, Meike A. [1 ,2 ]
Engels, Leonard F. [1 ,3 ]
Bentz, Tashina [4 ]
Wuestefeld, Daniela [5 ]
Farina, Dario [1 ,6 ]
Dosen, Strahinja [1 ,7 ]
机构
[1] Univ Med Ctr Gottingen, Dept Trauma Surg Orthoped & Plast Surg, Von Siebold Str 3, D-37075 Gottingen, Germany
[2] Univ Appl Sci HAW, Fac Life Sci, Ulmenliet 20, D-21033 Hamburg, Germany
[3] Scuola Super Sant Anna, Biorobot Inst, Viale R Piaggio 34, I-56025 Pontedera, PI, Italy
[4] Georg August Univ, D-37075 Gottingen, Germany
[5] Otto Bock HealthCare GmbH, Otto Bock Competence Ctr, D-37115 Duderstadt, Germany
[6] Imperial Coll London, Dept Bioengn, London SW7 2AZ, England
[7] Aalborg Univ, Fac Med, Dept Hlth Sci & Technol, Ctr Sensory Motor Interact, Aalborg, Denmark
来源
JOURNAL OF NEUROENGINEERING AND REHABILITATION | 2018年 / 15卷
关键词
Somatosensory feedback; Closed loop; Multi-functional; Upper limb prosthesis; Grasping; Amputee; CLOSED-LOOP CONTROL; SENSORY FEEDBACK; SENSORIMOTOR CONTROL; FORCE FEEDBACK; GRASPING FORCE; HAND; GRIP; PERFORMANCE; HUMANS; STATE;
D O I
10.1186/s12984-018-0371-1
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Background: To effectively replace the human hand, a prosthesis should seamlessly respond to user intentions but also convey sensory information back to the user. Restoration of sensory feedback is rated highly by the prosthesis users, and feedback is critical for grasping in able-bodied subjects. Nonetheless, the benefits of feedback in prosthetics are still debated. The lack of consensus is likely due to the complex nature of sensory feedback during prosthesis control, so that its effectiveness depends on multiple factors (e.g., task complexity, user learning). Methods: We evaluated the impact of these factors with a longitudinal assessment in six amputee subjects, using a clinical setup (socket, embedded control) and a range of tasks (box and blocks, block turn, clothespin and cups relocation). To provide feedback, we have proposed a novel vibrotactile stimulation scheme capable of transmitting multiple variables from a multifunction prosthesis. The subjects wore a bracelet with four by two uniformly placed vibro-tactors providing information on contact, prosthesis state (active function), and grasping force. The subjects also completed a questionnaire for the subjective evaluation of the feedback. Results: The tests demonstrated that feedback was beneficial only in the complex tasks (block turn, clothespin and cups relocation), and that the training had an important, task-dependent impact. In the clothespin relocation and block turn tasks, training allowed the subjects to establish successful feedforward control, and therefore, the feedback became redundant. In the cups relocation task, however, the subjects needed some training to learn how to properly exploit the feedback. The subjective evaluation of the feedback was consistently positive, regardless of the objective benefits. These results underline the multifaceted nature of closed-loop prosthesis control as, depending on the context, the same feedback interface can have different impact on performance. Finally, even if the closed-loop control does not improve the performance, it could be beneficial as it seems to improve the subjective experience. Conclusions: Therefore, in this study we demonstrate, for the first time, the relevance of an advanced, multi-variable feedback interface for dexterous, multi-functional prosthesis control in a clinically relevant setting.
引用
收藏
页数:15
相关论文
共 56 条
  • [1] A Multi-Class Proportional Myocontrol Algorithm for Upper Limb Prosthesis Control: Validation in Real-Life Scenarios on Amputees
    Amsuess, Sebastian
    Goebel, Peter
    Graimann, Bernhard
    Farina, Dario
    [J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2015, 23 (05) : 827 - 836
  • [2] Antfolk C, 2013, EXPERT REV MED DEVIC, V10, P45, DOI [10.1586/erd.12.68, 10.1586/ERD.12.68]
  • [3] Sensory substitution and the human-machine interface
    Bach-y-Rita, P
    Kercel, SW
    [J]. TRENDS IN COGNITIVE SCIENCES, 2003, 7 (12) : 541 - 546
  • [4] Consumer design priorities for upper limb prosthetics
    Biddiss, Elaine
    Beaton, Dorcas
    Chau, Tom
    [J]. DISABILITY AND REHABILITATION-ASSISTIVE TECHNOLOGY, 2007, 2 (06) : 346 - 357
  • [5] Effect of Feedback during Virtual Training of Grip Force Control with a Myoelectric Prosthesis
    Bouwsema, Hanneke
    van der Sluis, Corry K.
    Bongers, Raoul M.
    [J]. PLOS ONE, 2014, 9 (05):
  • [6] An exploration of grip force regulation with a low-impedance myoelectric prosthesis featuring referred haptic feedback
    Brown, Jeremy D.
    Paek, Andrew
    Syed, Mashaal
    O'Malley, Marcia K.
    Shewokis, Patricia A.
    Contreras-Vidal, Jose L.
    Davis, Alicia J.
    Gillespie, R. Brent
    [J]. JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2015, 12
  • [7] Proceedings of the first workshop on Peripheral Machine Interfaces: going beyond traditional surface electromyography
    Castellini, Claudio
    Artemiadis, Panagiotis
    Wininger, Michael
    Ajoudani, Arash
    Alimusaj, Merkur
    Bicchi, Antonio
    Caputo, Barbara
    Craelius, William
    Dosen, Strahinja
    Englehart, Kevin
    Farina, Dario
    Gijsberts, Arjan
    Godfrey, Sasha B.
    Hargrove, Levi
    Ison, Mark
    Kuiken, Todd
    Markovic, Marko
    Pilarski, Patrick M.
    Rupp, Ruediger
    Scheme, Erik
    [J]. FRONTIERS IN NEUROROBOTICS, 2014, 8 : 1 - 17
  • [8] Chatterjee A., 2008, JPO Journal of Prosthetics and Orthotics, V20, P27, DOI [DOI 10.1097/01.JPO.0000311041.61628.BE, DOI 10.1097/01.JP0.0000311041.61628.BE]
  • [9] Chatterjee A, 2008, 2008 IEEE REGION 5 CONFERENCE, P75
  • [10] CLOSED-LOOP CONTROL IN PROSTHETIC SYSTEMS - HISTORICAL-PERSPECTIVE
    CHILDRESS, DS
    [J]. ANNALS OF BIOMEDICAL ENGINEERING, 1980, 8 (4-6) : 293 - 303