• DocumentCode
    10240
  • Title

    Miniature Low-Power Inertial Sensors: Promising Technology for Implantable Motion Capture Systems

  • Author

    Lambrecht, Joris M. ; Kirsch, Robert F.

  • Author_Institution
    Dept. of Biomed. Eng., Case Western Reserve Univ., Cleveland, OH, USA
  • Volume
    22
  • Issue
    6
  • fYear
    2014
  • fDate
    Nov. 2014
  • Firstpage
    1138
  • Lastpage
    1147
  • Abstract
    Inertial and magnetic sensors are valuable for untethered, self-contained human movement analysis. Very recently, complete integration of inertial sensors, magnetic sensors, and processing into single packages, has resulted in miniature, low power devices that could feasibly be employed in an implantable motion capture system. We developed a wearable sensor system based on a commercially available system-in-package inertial and magnetic sensor. We characterized the accuracy of the system in measuring 3-D orientation-with and without magnetometer-based heading compensation-relative to a research grade optical motion capture system. The root mean square error was less than 4 ° in dynamic and static conditions about all axes. Using four sensors, recording from seven degrees-of-freedom of the upper limb (shoulder, elbow, wrist) was demonstrated in one subject during reaching motions. Very high correlation and low error was found across all joints relative to the optical motion capture system. Findings were similar to previous publications using inertial sensors, but at a fraction of the power consumption and size of the sensors. Such ultra-small, low power sensors provide exciting new avenues for movement monitoring for various movement disorders, movement-based command interfaces for assistive devices, and implementation of kinematic feedback systems for assistive interventions like functional electrical stimulation.
  • Keywords
    assisted living; biomedical measurement; body sensor networks; gait analysis; inertial systems; kinematics; low-power electronics; magnetic sensors; magnetometers; mean square error methods; medical disorders; optical sensors; patient monitoring; patient rehabilitation; prosthetics; user interfaces; 3-D orientation-magnetometer-based heading compensation; assistive devices; assistive interventions; degrees-of-freedom; dynamic conditions; functional electrical stimulation; implantable motion capture systems; kinematic feedback systems; magnetic sensor; miniature low-power inertial sensors; movement disorders; movement monitoring; movement-based command interfaces; power consumption; reaching motions; research grade optical motion capture system; root mean square error; self-contained human movement analysis; sensor size; static conditions; system-in-package inertial sensor; ultrasmall sensors; upper limb; wearable sensor system; Implantable biomedical devices; Magnetic sensors; Magnetometers; Neural prosthesis; Quaternions; Sensor systems; Implantable sensors; inertial measurement unit (IMU); inertial sensors motion capture; neuroprosthesis;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2014.2324825
  • Filename
    6817610