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Quantitative Detection of Parkinson's Disease Symptoms Advisor: Dr. Anita Mahadevan-Jansen Faraz Ali James Lugge Ernest Moore Mahesh Parlikad.

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Presentation on theme: "Quantitative Detection of Parkinson's Disease Symptoms Advisor: Dr. Anita Mahadevan-Jansen Faraz Ali James Lugge Ernest Moore Mahesh Parlikad."— Presentation transcript:

1 Quantitative Detection of Parkinson's Disease Symptoms Advisor: Dr. Anita Mahadevan-Jansen Faraz Ali James Lugge Ernest Moore Mahesh Parlikad

2 Dr. Anita Mahadevan-Jansen, PhD. Asst. Professor of Biomedical Engineering and Neurological Surgery Research: –Optical techniques for diagnosis of pathology –Fluorescence, Raman spectroscopy in cancer detection –optical techniques that use laser to discriminate between healthy and diseased tissue in neurosurgery

3 What is Parkinson’s Disease? Neurodegenerative disorder caused by damaged or dead dopamine-neurons in the substantia nigra Dopamine: neurotransmitter that carries information from neuron to neuron and eventually out to the muscles Brain no longer able to direct or control muscle movement in a normal manner. Half a million people every year are affected by Parkinson’s

4 Symptoms Tremor or trembling in hands, arms, legs, jaw, and face Rigidity or stiffness of the limbs and trunk Slowness of motor movements Postural instability or impaired balance and coordination Reduced blink rate of eyes

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6 Treatment Drugs: Levodopa/ L-Dopa Drugs designed to mimic dopamine effects or counteract acetylcholine effects Pallidotomy: Section of globus pallidus removed Deep Brain Stimulation (DBS) : Implants stimulators that block brain signals causing rigidity, tremors and other symptoms

7 Quantitative Measurement of Symptoms Goal Statement: To be able to associate numerical values to a patient’s before and after treatment symptoms. Methods used currently are based on “touch and feel” and are subjective.

8 Last Year’s Progress EOG Designed Potentiometer Glove

9 Proposed Ideas Blink Rate Detector –Symptom of Parkinson’s: increased blink rate –Means of detection: EOG Strain-Gauged base Rigidity Detector –Symptom of Parkinson’s: hand and neck muscles tense –Means of detection: Strain gauge Acetylcholine Detector –Symptom of Parkinson’s: hand and neck muscles contracted –Means of detection: invasive neurotransmitter detection Skin Conductivity Detector –Symptom of Parkinson’s: arm and hand muscles contracted –Means of detection: GSRS detects change in skin conductivity Hydraulic Piston-based Rigidity Detector System –Symptom of Parkinson’s: arm muscles tense –Means of detection: measure PSI required to rotate arm

10 Reduced Eye Blinking Loss of automatic control is one of the symptoms of Parkinson’s disease. Reduced eye blinking is a feasible symptom that can be quantified by use of an electrooculargram (EOG). LED + detector combination that detects light reflected back from the eye. PROBLEMS: -Requires a long period of time for useable results -Could become intrusive to patient or Doctor

11 Muscle Rigidity Strain Detection Another symptom is rigid muscles which can occur in the limbs or neck. A strain gauge can be used to detect the alleviation of rigid muscles. Strain gauges can detect a change as low as 500με. PROBLEMS: -High-sensitivity strain gauges are expensive -Slight motions are detected and could alter results

12 Other Designs Accelerometer –Requires patient to be having a tremor GSRS –Not sensitive enough –Not fast enough Acetylcholine Detector –Invasive Multi-Channel System –Too bulky –Requires additional personnel to work system

13 Final Design Hydraulic Piston-based Rigidity Detection System Piston secured to the upper arm and forearm via two cuffs Fluid (water, oil, or air) injected into the piston PSI measured to determine how much rigidity was relieved

14 Current Status Have set up weekly meetings with Dr. Kao every Monday at 2:00 PM We are working with Professor Sarkar to secure pistons for our design Have located and priced several fluid delivery methods

15 Future Work Work with Dr. Kao to perfect our final design Construct Final Design Test on selves Test on Patients

16 Thank You Questions?Comments?Suggestions?


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