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A Biomedical Application of the Polhemus System

Overview. IntroductionProposed ResearchGoals for Our ProjectDystoniaDeep Brain StimulationThe Polhemus systemOriginal user interfaceExperimentation:TestingProceduresData AcquisitionData AnalysisResultsConclusions. Proposed Research. Proposed by Dr. Anne BeuterDeep brain stimulation (DBS) as a treatment for dystoniaChange the width of the electrical impulse used in DBSDetermine if this causes a change in the motor control of the dystonic patients being treated with DBS.

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A Biomedical Application of the Polhemus System

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    1. A Biomedical Application of the Polhemus System Senior Design Project 2003 Lisa DeMar (EE’03) & Lindsay Pacuska (ME’03) Advised by: Prof.LeCocq & Prof. Krouglicof

    2. Overview Introduction Proposed Research Goals for Our Project Dystonia Deep Brain Stimulation The Polhemus system Original user interface Experimentation: Testing Procedures Data Acquisition Data Analysis Results Conclusions

    3. Proposed Research Proposed by Dr. Anne Beuter Deep brain stimulation (DBS) as a treatment for dystonia Change the width of the electrical impulse used in DBS Determine if this causes a change in the motor control of the dystonic patients being treated with DBS

    4. Goals for Our Project Become familiar with the Polhemus system Help with Dr. Beuter’s research Use the Polhemus system to measure the motion of dystonic patients Analyze data to determine if motion changes as a result of changing pulse width Help lead to a better understanding of deep brain stimulation treatment of dystonic patients

    5. Dystonia Neurological disorder Causes: birth trauma injuries lack of oxygen to the brain degenerative diseases Inappropriate signaling and feedback in the basal ganglia portion of the brain (secondary motor and motor relay center) Causes sustained contraction or extension of muscles Occurs during voluntary movement Different types and levels of severity

    6. Deep Brain Stimulation Used to treat neurological disorders such as Parkinson’s Disease and dystonia Electrodes (Medtronic stimulators) implanted in the brain Electrically stimulate the neurotissues surrounding the electrode Electrodes can be programmed easily Parameters: current, frequency, and amplitude

    7. The Polhemus Fastrak System Created in 1964 by Bill Polhemus First used by Air Force for pilot navigation Also used for animation in films and videogames Useful for biomedical applications because it measures human movement 3 main components: Motion-capturing device Transmitter Sensors Motion detected by changes in electromagnetic field Measures motion with 6 degrees of freedom: x, y, z, azimuth, elevation, roll

    8. Original User Interface Had to learn how to use the Polhemus system and acquire data with it Created a User Interface in Visual Basic

    9. Testing Location: Gui de Chauliac Hospital Supervised by: Dr. Anne Beuter, Universite de Montpellier I, Institut de Biologie and Dr. Philippe Coubes, Universite de Montpellier I, Hopital Gui de Chauliac Equipment: Polhemus System Laptop computer with FASTRAK FTGui 7 patients tested 3 weeks of testing in France

    10. Procedures 3 sensors: left hand, right hand, neck 4 tests, 30 seconds each: Lying on a mat Standing with arms extended horizontally Finger to nose test at slow speed Finger to nose test at high speed 1 minute of rest between tests Each patient tested 5 times over the course of a week Testing before and after modification of pulse width

    11. Data Acquisition Original intention: use Visual Basic interface Program was not functioning correctly Decided to use FTGui software Used laptop and RS-232 null modem cable to transfer data from device to computer Data imported into Excel and sorted by sensor

    12. Data Analysis Different characteristics for each type of test: Postural prone test: rms amplitude and dominant frequency Postural standing test: rms amplitude, dominant frequency, drift, amplitude fluctuation, and cross-correlation Finger-to-nose test: rms amplitude, dominant frequency, drift, amplitude fluctuation, and cross-correlation Matlab program created to perform analysis

    13. Results X, Y, and Z components for each sensor Results used in calculations of parameters Examples (plots of raw data):

    14. Conclusions Learned about the Polhemus system Used Polhemus system to measure the motion of dystonic patients Created a user interface in Visual Basic Overcame problem of this interface not working Created Matlab program to process and analyze the gathered data Dealt with difficulties caused by communication between us and France Help determine effect of changing pulse width Results will lead to a recommendation regarding the inclusion of the pulse width as a control parameter of the stimulators used in DBS for dystonia

    15. Questions?

    16. Motion Capture Unit

    17. Transmitter

    18. Sensor

    19. Test 1

    20. Test 2

    21. Test 3

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