Reanimating paralyzed limbs - Coping with spatially distributed, multimodal systems

被引:0
|
作者
Loeb, GE [1 ]
机构
[1] Univ So Calif, AE Mann Inst Biomed Engn, Los Angeles, CA 90089 USA
关键词
sensory prostheses; sensorimotor control; muscles; electrical stimulation;
D O I
10.1109/IEMBS.2002.1053170
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Sensory prostheses generally require dense multichannel interfaces in a small place that is difficult to access but mechanically protected. Motor prostheses must activate a relatively modest number of muscles distributed widely over limbs subject to constant motion and external impacts. Sensory prostheses require high data rates to recreate complex temporospatial patterns of neural activity while muscles are unidimensional low-pass filters. Sensory prostheses generally need one sophisticated interface for stimulation while sensorimotor prostheses require a wealth of command and feedback signals employing different electrical and mechanical sensing modalities. Sensory prostheses do as little signal processing as necessary to enable the brain to do the difficult perceptual computations while sensorimotor prostheses must replace the functionality of motor planning and coordination centers whose normal functions we barely understand. Sensory deficits (e.g. deafness, blindness) tend to affect large numbers of patients in homogeneous and stable ways while motor deficits come in a much wider variety and change over time due to neural and muscular plasticity. We are just starting to assemble the diverse armamentarium of implantable interfaces, control strategies and fitting tools that will be needed to treat motor disabilities successfully.
引用
收藏
页码:2066 / 2067
页数:2
相关论文
共 50 条
  • [41] Distributed receding horizon control of spatially invariant systems
    Motee, Nader
    Jadbabaie, Ali
    2006 AMERICAN CONTROL CONFERENCE, VOLS 1-12, 2006, 1-12 : 731 - +
  • [42] SEISMIC PERFORMANCE ANALYSIS OF SPATIALLY DISTRIBUTED SYSTEMS.
    Monzon-Despang, Hector
    Report - Stanford University, John A. Blume Earthquake Engineering Center, 1980, (43):
  • [43] Frequency Analysis and Norms of Distributed Spatially Periodic Systems
    Fardad, Makan
    Jovanovic, Mihailo R.
    Bamieh, Bassam
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2008, 53 (10) : 2266 - 2279
  • [44] Pattern formation in systems with one spatially distributed species
    Bard Ermentrout
    Mark Lewis
    Bulletin of Mathematical Biology, 1997, 59 : 533 - 549
  • [45] Distributed Observer and Controller Design for Spatially Interconnected Systems
    Zhang, Xueji
    Hengster-Movric, Kristian
    Sebek, Michael
    Desmet, Wim
    Faria, Cassio
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2019, 27 (01) : 1 - 13
  • [46] Distributed recursive state estimation for spatially interconnected systems
    Liang, H.-Y. (yhliang07@163.com), 1600, Northeast University (29):
  • [47] Spatially Distributed MIMO Sonar Systems: Principles and Capabilities
    Pailhas, Yan
    Petillot, Yvan
    Brown, Keith
    Mulgrew, Bernard
    IEEE JOURNAL OF OCEANIC ENGINEERING, 2017, 42 (03) : 738 - 751
  • [48] Duality of the Optimal Distributed Control for Spatially Invariant Systems
    Djouadi, Seddik M.
    Dong, Jin
    2014 AMERICAN CONTROL CONFERENCE (ACC), 2014,
  • [49] Distributed State Observer Design for Spatially Interconnected Systems
    Liu, Huabo
    Zhao, Xuyong
    Wan, Liwei
    Mao, Yao
    Gao, Junwei
    2022 41ST CHINESE CONTROL CONFERENCE (CCC), 2022, : 209 - 213
  • [50] STUDY OF STABILITY OF INHOMOGENEOUS STATES IN SPATIALLY DISTRIBUTED SYSTEMS
    BELINTSEV, BN
    LIVSHITS, MA
    VOLKENSTEIN, MV
    BIOFIZIKA, 1978, 23 (06): : 1056 - 1062