Prosthesis Control System of the Upper Limb

被引：0
|
作者：
Tomashevich, Daniil [1 ]
Bobrova, Yulia [1 ]
机构：
[1] St Petersburg Elect Univ LETI, St Petersburg, Russia
来源：
PROCEEDINGS OF THE 20TH CONFERENCE OF OPEN INNOVATIONS ASSOCIATION (FRUCT 2017) | 2017年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper overviews developing process of a prosthesis control system using electromyographic signal. Corresponding hardware and software solutions are suggested. In a nutshell described significant achievements in the field of prosthetics and the main ways to control such devices. The complexity of the implementation of prosthetic devices based on these principles are considered.
引用
收藏
页码：460 / 465
页数：6
相关论文
共 50 条
  • [31] Identifying the Role of Proprioception in Upper-Limb Prosthesis Control: Studies on Targeted Motion
    Blank, Amy
    Okamura, Allison M.
    Kuchenbecker, Katherine J.
    [J]. ACM TRANSACTIONS ON APPLIED PERCEPTION, 2010, 7 (03)
  • [32] A New Approach for Rehabilitation and Upper-Limb Prosthesis Control Using Optomyography (OMG)
    Muhammed, Hamed Hamid
    Jammalamadaka, Raghavendra
    [J]. 2016 1ST INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING (IBIOMED): EMPOWERING BIOMEDICAL TECHNOLOGY FOR BETTER FUTURE, 2016, : 27 - 32
  • [33] Effects of Upper Limb Loss or Absence and Prosthesis Use on Postural Control of Standing Balance
    Major, Matthew J.
    Stine, Rebecca
    Shirvaikar, Tara
    Gard, Steven A.
    [J]. AMERICAN JOURNAL OF PHYSICAL MEDICINE & REHABILITATION, 2020, 99 (05) : 366 - 371
  • [34] Robust feature sets for contraction level invariant control of upper limb myoelectric prosthesis
    Iqbal, Nisheena V.
    Subramaniam, Kamalraj
    Asmi, Shaniba P.
    [J]. BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2019, 51 : 90 - 96
  • [35] Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer Learning
    Prahm, Cosima
    Schulz, Alexander
    Paassen, Benjamin
    Schoisswohl, Johannes
    Kaniusas, Eugenijus
    Dorffner, Georg
    Hammer, Barbara
    Aszmann, Oskar
    [J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2019, 27 (05) : 956 - 962
  • [36] SEMG classification for upper-limb prosthesis control using higher order statistics
    Khadivi, A
    Nazarpour, K
    Zadeh, HS
    [J]. 2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING, 2005, : 385 - 388
  • [37] Assistive Control System for Upper Limb Rehabilitation Robot
    Chen, Sung-Hua
    Lien, Wei-Ming
    Wang, Wei-Wen
    Lee, Guan-De
    Hsu, Li-Chun
    Lee, Kai-Wen
    Lin, Sheng-Yen
    Lin, Chia-Hsun
    Fu, Li-Chen
    Lai, Jin-Shin
    Luh, Jer-Junn
    Chen, Wen-Shiang
    [J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2016, 24 (11) : 1199 - 1209
  • [38] Research on Virtual Training System for Intelligent Upper Limb Prosthesis with Bidirectional Neural Channels
    Hu, Yawen
    Jiang, Li
    Yang, Bin
    [J]. INTELLIGENT ROBOTICS AND APPLICATIONS, ICIRA 2021, PT III, 2021, 13015 : 314 - 323
  • [39] User-Prosthesis Interface for Upper Limb Prosthesis Based on Object Classification
    Fajardo, Julio
    Ferman, Victor
    Munoz, Amparo
    Andrade, Dandara
    Neto, Antonio Ribas
    Rohmer, Eric
    [J]. 15TH LATIN AMERICAN ROBOTICS SYMPOSIUM 6TH BRAZILIAN ROBOTICS SYMPOSIUM 9TH WORKSHOP ON ROBOTICS IN EDUCATION (LARS/SBR/WRE 2018), 2018, : 390 - 395
  • [40] Review and perspective: sensory feedback in upper limb prosthesis
    Zhang, Peng
    Xu, Qi
    He, Jiping
    [J]. SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS, PTS 1-4, 2013, 303-306 : 261 - +
12345