Kinematic analysis of a myoelectric transradial prosthesis: functional and biomimetic evaluation

被引:0
|
作者
Di Benedetto, Laura [1 ]
Germanotta, Marco [2 ]
Macri, Chiara [3 ]
Gattinara, Francesco C. [4 ]
Zappatore, Giovanni A. [3 ]
Del Prete, Zaccaria [4 ]
Aprile, Irene [2 ]
Palermo, Eduardo [4 ]
机构
[1] Sapienza Univ, Rome, Italy
[2] IRCCS Fdn Don Carlo Gnocchi Onlus, Florence, Italy
[3] BionIT Labs Srl, Soleto, Le, Italy
[4] Sapienza Univ, Dept Mech & Aerosp Engn, Rome, Italy
关键词
myoelectric prosthesis hand; grasping; kinematic synergies; motion analysis; HAND; SYNERGIES; DESIGN;
D O I
10.1109/MEMEA54994.2022.9856410
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
This paper describes a motion analysis of a myoelectric upper limb prosthesis, focusing on kinematic synergies with respect to those of the human hand, during manipulation of several objects. Continuous research in prosthetic systems is seeking organ replacement with full functionality restoration. Reproducing kinematic coordination of the numerous DoFs of the hand plays a key role. We used an optoelectronic system and reflective markers to acquire grasping positions of a hand and a state-of-art prosthesis available on the market. Using Principal Components Analysis, we evaluated the preponderance of the first two components (PC1 and PC2) both in the hand and in the prosthesis. PC1 and PC2 expressed over 90% of the variance in most of the prosthesis postures. Statistical analysis was conducted to evaluate differences between the level of variance expressed by each PC in the two data samples, to evaluate biomimicry. Building on findings regarding the joints involved in PC1 and PC2, future developments could involve thumb mechanics and the implementation of the principal synergistic schemes in the movement control algorithms of the prosthesis. This work offers a protocol and a testing methodology that could be replicated in clinical studies, on a larger sample of users and with the latest generation prosthesis.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Design and Functional Evaluation of a Dexterous Myoelectric Hand Prosthesis With Biomimetic Tactile Sensor
    Zhang, Ting
    Jiang, Li
    Liu, Hong
    [J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2018, 26 (07) : 1391 - 1399
  • [2] Multigrasp Myoelectric Control for a Transradial Prosthesis
    Dalley, Skyler A.
    Varol, Huseyin Atakan
    Goldfarb, Michael
    [J]. 2011 IEEE INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS (ICORR), 2011,
  • [3] Evaluation of a Simultaneous Myoelectric Control Strategy for a Multi-DoF Transradial Prosthesis
    Piazza, Cristina
    Rossi, Matteo
    Catalano, Manuel G.
    Bicchi, Antonio
    Hargrove, Levi J.
    [J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 28 (10) : 2286 - 2295
  • [4] Categorization of compensatory motions in transradial myoelectric prosthesis users
    Hussaini, Ali
    Zinck, Arthur
    Kyberd, Peter
    [J]. PROSTHETICS AND ORTHOTICS INTERNATIONAL, 2017, 41 (03) : 286 - 293
  • [5] THE EFFECTS OF WEARING A TRANSRADIAL MYOELECTRIC PROSTHESIS ON RANGE OF MOTION OF THE ELBOW
    Carey, Stephanie L.
    Highsmith, M. Jason
    dubey, Rajiv V.
    [J]. PROCEEDINGS OF THE ASME SUMMER BIOENGINEERING CONFERENCE - 2009, PT A AND B, 2009, : 897 - 898
  • [6] Online Myoelectric Control of a Dexterous Hand Prosthesis by Transradial Amputees
    Cipriani, Christian
    Antfolk, Christian
    Controzzi, Marco
    Lundborg, Goran
    Rosen, Birgitta
    Carrozza, Maria Chiara
    Sebelius, Fredrik
    [J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2011, 19 (03) : 260 - 270
  • [7] IMU-Based Wrist Rotation Control of a Transradial Myoelectric Prosthesis
    Bennett, Daniel A.
    Goldfarb, Michael
    [J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2018, 26 (02) : 419 - 427
  • [8] The SoftHand Pro: Functional evaluation of a novel, flexible, and robust myoelectric prosthesis
    Godfrey, Sasha Blue
    Zhao, Kristin D.
    Theuer, Amanda
    Catalano, Manuel G.
    Bianchi, Matteo
    Breighner, Ryan
    Bhaskaran, Divya
    Lennon, Ryan
    Grioli, Giorgio
    Santello, Marco
    Bicchi, Antonio
    Andrews, Karen
    [J]. PLOS ONE, 2018, 13 (10):
  • [9] Fingertip Proximity-Based Grasping Pattern Prediction of Transradial Myoelectric Prosthesis
    Yang, Bin
    Shi, Chunyuan
    Liu, Ziqi
    Hu, Yawen
    Cheng, Ming
    Jiang, Li
    [J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2023, 31 : 1483 - 1491
  • [10] Single channel myoelectric control of a 3D printed transradial prosthesis
    Curline-Wandl, Scott A.
    Ali, M. Azam
    [J]. COGENT ENGINEERING, 2016, 3 (01):