• DocumentCode
    1837801
  • Title

    Multimodal injectable sensors for neural prosthetic proprioception

  • Author

    Tan, Wei ; Sachs, Nick ; Guo, Ruo ; Zou, Qiang ; Singh, Jasspreet ; Loeb, Gerald E.

  • Author_Institution
    A.E. Mann Inst. & Biomed. Eng. Dept., Southern California Univ. NSF Eng. Res. Center for Biomimetic Microelectron. Syst., Los Angeles, CA, USA
  • fYear
    2005
  • fDate
    26-28 May 2005
  • Firstpage
    172
  • Lastpage
    176
  • Abstract
    A BIONTM is a miniature implant developed for Functional Electric Stimulation (FES). This paper describes a new posture sensing system designed for these implants. The new system contains three sensing modalities: 1) artificial muscle spindles; 2) a DC accelerometer; and 3) a magnetic reference frame. Because of limiting factors such as sensor size and power consumption, each sensing modality used alone provides inaccurate or incomplete information on the posture. However, signals from the individual sensors can be integrated for more accurate and complete results. First, signals from each sensor are processed separately to extract basic information. Then sensor fusion algorithms (including extended Kalman filtering) combine all the sensor signals and generate 6-D posture data. Finally the data can be used in real-time to provide command and feedback signals for the FES controller.
  • Keywords
    Kalman filters; accelerometers; biosensors; mechanoception; medical signal processing; neuromuscular stimulation; prosthetics; sensor fusion; BION; DC accelerometer; Kalman filtering; MEMS; artificial muscle spindles; functional electric stimulation; functional neuromuscular stimulation; magnetic reference frame; multimodal injectable sensor; neural prosthetic proprioception; posture sensing system; power consumption; sensing modality; sensor fusion; sensor size; Accelerometers; Biosensors; Energy consumption; Implants; Magnetic sensors; Magnetic separation; Multimodal sensors; Muscles; Prosthetics; Sensor fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Interface and Control, 2005. Proceedings. 2005 First International Conference on
  • Print_ISBN
    0-7803-8902-6
  • Type

    conf

  • DOI
    10.1109/ICNIC.2005.1499870
  • Filename
    1499870