• DocumentCode
    28270
  • Title

    A Novel Glove Monitoring System Used to Quantify Neurological Symptoms During Deep-Brain Stimulation Surgery

  • Author

    Houde Dai ; Otten, Bernward ; Mehrkens, Jan Hinnerk ; D´Angelo, Lorenzo T. ; Lueth, Tim C.

  • Author_Institution
    Inst. of Micro Technol. & Med. Device Technol., Tech. Univ. Munchen, Munich, Germany
  • Volume
    13
  • Issue
    9
  • fYear
    2013
  • fDate
    Sept. 2013
  • Firstpage
    3193
  • Lastpage
    3202
  • Abstract
    Deep brain stimulation (DBS) surgery is most effective in reducing the symptoms of Parkinson´s disease and essential tremor. At present, there is no designated instrumental method for measuring the immediate effects of DBS. This paper presents the concept of a glove monitoring system for DBS. With the benefits of microelectromechanical systems, inertial measurement unit, and force sensitive resistor (FSR), the system is portable and can be integrated into a textile glove. Tremors, bradykinesia, and rigidity assessments are performed by the system. Several test tasks are chosen to be performed during DBS surgery to evaluate the electrode´s position and stimulation intensity. Each quantified symptom severity of the patient is added to a list shown in the graphical user interface for comparison. Comparative experiments between the prototype and an electromagnetic motion tracking system were presented. The FSR boxes were validated with weights. Experimental results show that this system is reliable for tremor amplitude determination, movement angles measurement, and resistance measurement to a passive movement. In addition, it can be found that inconsistent tremor movements have an influence on the tremor amplitude calculation done with power spectral density estimation.
  • Keywords
    bioMEMS; bioelectric phenomena; biomechanics; biomedical electrodes; brain; data gloves; graphical user interfaces; medical computing; medical disorders; patient monitoring; portable instruments; surgery; DBS surgery; Parkinson´s disease; bradykinesia; deep-brain stimulation surgery; electrode position; essential tremor; force sensitive resistor; glove monitoring system; graphical user interface; inertial measurement unit; microelectromechanical systems; movement angles measurement; neurological symptom quantification; passive movement; portable system; power spectral density estimation; quantified symptom severity; resistance measurement; rigidity assessments; stimulation intensity; textile glove; tremor amplitude calculation; tremor amplitude determination; Accelerometers; Force sensors; Grasping; Gyroscopes; Monitoring; Satellite broadcasting; MEMS IMU; bradykinesia; glove monitoring system; parkinson´s disease quantitative assessment; reliability testing; rigidity; tremor;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2013.2271775
  • Filename
    6555834