Literature DB >> 18713682

Modeling of prosthetic limb rotation control by sensing rotation of residual arm bone.

Guanglin Li1, Todd A Kuiken.   

Abstract

We proposed a new approach to improve the control of prosthetic arm rotation in amputees. Arm rotation is sensed by implanting a small permanent magnet into the distal end of the residual bone, which produces a magnetic field. The position of the bone rotation can be derived from magnetic field distribution detected with magnetic sensors on the arm surface, and then conveyed to the prosthesis controller to manipulate the rotation of the prosthesis. Proprioception remains intact for residual limb skeletal structures; thus, this control system should be natural and easy-to-use. In this study, simulations have been conducted in an upper arm model to assess the feasibility and performance of sensing the voluntary rotation of residual humerus with an implanted magnet. A sensitivity analysis of the magnet size and arm size was presented. The influence of relative position of the magnet to the magnetic sensors, orientation of the magnet relative to the limb axis, and displacement of the magnetic sensors on the magnetic field was evaluated. The performance of shielding external magnetostatic interference was also investigated. The simulation results suggest that the direction and angle of rotation of residual humerus could be obtained by decoding the magnetic field signals with magnetic sensors built into a prosthetic socket. This pilot study provides important guidelines for developing a practical interface between the residual bone rotation and the prosthesis for control of prosthetic rotation.

Entities:  

Mesh:

Year:  2008        PMID: 18713682      PMCID: PMC3038244          DOI: 10.1109/TBME.2008.923914

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  18 in total

1.  A multiple-layer finite-element model of the surface EMG signal.

Authors:  Madeleine M Lowery; Nikolay S Stoykov; Allen Taflove; Todd A Kuiken
Journal:  IEEE Trans Biomed Eng       Date:  2002-05       Impact factor: 4.538

2.  A robust, real-time control scheme for multifunction myoelectric control.

Authors:  Kevin Englehart; Bernard Hudgins
Journal:  IEEE Trans Biomed Eng       Date:  2003-07       Impact factor: 4.538

Review 3.  Proprioception and locomotor disorders.

Authors:  Volker Dietz
Journal:  Nat Rev Neurosci       Date:  2002-10       Impact factor: 34.870

4.  Modeling and preliminary testing socket-residual limb interface stiffness of above-elbow prostheses.

Authors:  Jonathon W Sensinger; Richard F ff Weir
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2008-04       Impact factor: 3.802

Review 5.  Myoelectric prostheses: state of the art.

Authors:  R N Scott; P A Parker
Journal:  J Med Eng Technol       Date:  1988 Jul-Aug

Review 6.  Myoelectric control of prostheses.

Authors:  P A Parker; R N Scott
Journal:  Crit Rev Biomed Eng       Date:  1986

7.  A new strategy for multifunction myoelectric control.

Authors:  B Hudgins; P Parker; R N Scott
Journal:  IEEE Trans Biomed Eng       Date:  1993-01       Impact factor: 4.538

8.  New norms of upper limb fat and muscle areas for assessment of nutritional status.

Authors:  A R Frisancho
Journal:  Am J Clin Nutr       Date:  1981-11       Impact factor: 7.045

9.  Multifunctional prosthesis and orthosis control via microcomputer identification of temporal pattern differences in single-site myoelectric signals.

Authors:  D Graupe; J Salahi; K H Kohn
Journal:  J Biomed Eng       Date:  1982-01

10.  Anthropometric measurement of muscle mass: revised equations for calculating bone-free arm muscle area.

Authors:  S B Heymsfield; C McManus; J Smith; V Stevens; D W Nixon
Journal:  Am J Clin Nutr       Date:  1982-10       Impact factor: 7.045

View more
  2 in total

1.  Development of a model osseo-magnetic link for intuitive rotational control of upper-limb prostheses.

Authors:  Elliott J Rouse; David C Nahlik; Michael A Peshkin; Todd A Kuiken
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2010-12-30       Impact factor: 3.802

Review 2.  The science of neural interface systems.

Authors:  Nicholas G Hatsopoulos; John P Donoghue
Journal:  Annu Rev Neurosci       Date:  2009       Impact factor: 12.449

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.