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Automated Maze System Development Group 9 Tanvir Haque Sidd Murthy Samar Shah Advisors: Dr. Herbert Y. Meltzer, Psychiatry Dr. Paul King, Biomedical Engineering
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Introduction Microdialysis Method of measuring physiological activity during task Dr. Meltzer’s Lab uses it to study brain activity during memory tasks
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Experimental Setup Rat hooked up to Microdialysis Rat placed in Maze, performs memory tasks Sample collected during maze run Sample Analyzed for content
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Problems Dialysis tubes’ entanglement Rat’s recognition of overhead device psychological repercussions Manual guiding of tubes cumbersome for researcher
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Constraints Maze Dimensions Rat Size Rat Speed Rat Cognition Tube Length Dialysis Weight Depth: 18”
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Primary Objective To develop a fully independent research module that facilitates the study of memory
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System Description Acquire Mouse Position Determine Change in Position Translate Dialysis Machine
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Position Acquisition MethodProsCons Camera High Resolution Real-Time feedback Software intensive Mounting Issues Processing Limitations $1,355 Sensor Manageable data Less processing $1,160 Low resolution Center of maze difficult to map
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Image Processing Acquire ImageCalibrate the Image Convert the 32 bit image to an 8 bit image Filter Image 1: Remove Border Objects Filter Image 2: Remove Small Objects Pattern Match to a Specified Image Determine the pixel at the center of the pattern Translate pixel value into physical coordinates Output Physical coordinates in array form
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LabVIEW Software Code
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Image Processing Unprocessed ImageProcessed Image
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LabVIEW Screen Shot
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Choosing a Microprocessor Motorola 68HC11E One 8-bit input Low cost On board A to D converter $200 NI PCI-7342 Four 8-bit inputs More processing capabilities Software Compatibility with LabView $895
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Processing the Information Continually Given one set of coordinates (X,Y) Compares the coordinates of (X n-1,Y n-1 ) to (X n,Y n ), computes the difference, and rounds the significant digits Converts the difference into specified timed waveform for the driver Driver amplifies signal and controls motor speeds
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Drive System Lead-screw Device Easy to build Inefficient $1,576.72 Pulley/Belt System Complicated System Efficient $6,000
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The Lead-Screw Device Motor Driven Rotational Energy converted to Linear Energy
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Device Apparatus
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Driven by dual motor system Translation responds to mouse movements Open Loop Feedback
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Choosing a Motor Design Considerations: Speed of Mouse: 2 ft/s Torque Torque needed to drive apparatus Torque needed to provide acceleration Stepper Motor or DC Motor?
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Speed Lead (in/rev)RPM.12511520.255760.52880 RPM = 25.5 in/s / Lead*60 s/min Target RPM Range 3000 -12000
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Torque Driving Torque Acceleration Driving Torque 2 ft/s L = 2.37 lbs P =.5 in/rev e f =.4 (for ACME) T f = 53 mNm Position Time 25 in -25 in I = 0.001207 lb-in-s 2 α = 265 rad/s 2 T = 36 mNm Worst Case Scenario
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Stepper or DC? Stepper Torque < 3.53 Nm RPM < 2000 DC High Torque High RPM
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DC Motor 3000 RPM (using 0.5 lead) 87 mNm Torque Powered by Driver Monitored by external Optical Encoder
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Flow Chart Image Calculate Δ(x,y) Micro- Processor Driver Motor Translation Image Calculate Δ(x,y) Micro- Processor Driver Motor Translation
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Budget Support Scaffolding$99.70 Mechanical Arm (including driver electronics) $1576.72 Microcontroller$895.00 Labview/Imaging Software$1,355.00 Grand Total$3926.42
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Departmental Reconsiderations Budget limitations caused the psychiatry department to reconsider the value of their experimental setup. Thus, our design, though it was considered valuable by the department, was not approved.
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Contingency plan Develop a model which represents fundamental principles of design Image acquisition system demonstration – LabVIEW software Mechanical arm system demonstration – Erector set
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Overall Status Developing Theoretical Model Next step: Final Report and Poster Board Month/ TasksJanuaryFebruaryMarchApril Breakdown of parts needed Researched parts and obtained quotes Offer proposal for parts Develop theoretical model Build theoretical model Work on Poster Board Work on Final Report
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Conclusion Though no tangible design will be developed, a better understanding of image acquisition systems, micro- processing and linear actuators was obtained With the development of the theoretical model, the perceived design was realized and used for its educational purposes
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