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Sensor on glasses

Sensor on glasses. Characterization Presentation Part 1 - Winter 2012. Performed by: Danielle Perez Shuki Eizner Instructor: Alexander Kinko Duration: 2 Semesters. Table Of Contents. Introduction Project’s Goals Project’s Overview (Semester A)

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Sensor on glasses

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  1. Sensor on glasses Characterization Presentation Part 1 - Winter 2012 Performed by: Danielle Perez ShukiEizner Instructor: Alexander Kinko Duration: 2 Semesters

  2. Table Of Contents • Introduction • Project’s Goals • Project’s Overview (Semester A) • Project’s Overview (Semester B) • Analog waves- Temporary solution • Project’s Basic Block Diagram • Suggested eyelid movement Flow Detection • Project’s Implementation • Estimated Timeline

  3. Introduction Neuro-ophthalmologists and eyelid surgeons analyze lid motility for assessing ptosis, third and seventh nerve palsy, myasthenia gravis, Graves’s disease, and Parinaud’s syndrome. Currently, mainly static measurements of the lid fissure and levator action (amplitude) are done routinely. Many different techniques have been used to measure the time course of blinks using coils, camera, lever arm and photosensitive position detector, but no clinical tool is widely available.

  4. Project’s Basic Concept Patient Doctor Eyelid Movement Sensor Device (EMSD) PC Application (Doctor’s workspace) Results of analysis

  5. Project’s Goals Develop a portable, low-power system that will check the eyelid movements and analyze the results. • The system will check only the eyelid movements without any consideration in the eyeball movement

  6. Goals-functional Characterization The system has the following features: • Portable system • Enables better tracking of the blinks by storing data, describing specific eyelid movement which include: • Starting and ending time (10-15 minutes each test) • Velocity • Frequency • Position • Have the ability to analyze each eye separately.

  7. Goals-functional Characterization(continuation) • Creating a unique set of software both for PC and EMSD, which enables performing of the following tasks: • Downloading data from portable device. • Operating EMSD in the real-time mode (RT-mode). • Performing of the data processing on downloaded data and displaying the appropriate statistics on PC (Offline-mode). • Creating database and storing it for the further inspection by the doctor.

  8. Project’s Goals- Technological • Precondition- the ability to create glasses with a sensors that provides the analogue signal. • Temporary solution- working with synthetic waves. • Physical dimensions of the EMSD suitable for the glasses handles. • Recognition of a eyelid movements from a specific range of frequencies (1Hz-50 Hz). • Storing of the parameters describing eyelid movement in the non-volatile on-device memory.

  9. Project’s Goals- Technological • Ability to store the parameters for 10 measurements each measurement takes 10-15 minutes • The start of each measurement controlled by the patient. • Ability to synchronize the two identical chips with external time reference source (pc) • Low-power rechargeable battery sustainable for an entire day. • Alert for “low-battery” state. • Interconnection to PC for performing extended data processing and better tracking as well as real-time mode.

  10. Project’s Overview (semester A) • Choosing components for the project, suitable for low-power applications. • Designing the power part of the project (battery recharge and power management). • Designing a digital part of the project (MCU, memory, etc.). • Drawing the schematics and performing layout for the EMSD.

  11. Project’s Overview (semester A continuation) • Manufacturing and assembling of the PCB. • Performing basic debug (includes using low-level software drivers). In parallel : • Creating analogue waves that demonstrate the real analogue signal. • Checking the signals by running simulations • Semester A destination: having a completed PCB

  12. Project’s Overview (semester B) • Full debug of the EMSD’s hardware. • Designing software for embedded hardware of the EMSD that includes recognition of the required blinks and storing the basic parameters on the EMSD’s memory. • Designing a unique high-level software for PC, that enables communication with EMSD, creating the database, performing various graphs and storing the database for further inspection by physician. • Validation/characterization of the system and performing S.U.T. (System Under Test) procedure.

  13. Analog waves- Temporary solution

  14. Analog waves- Temporary solution (continuation)

  15. Waves examples:

  16. Project - scheme

  17. Project’s Basic Block Diagram User Interface User Control LED Analogue sensor Controller Coils & magnet LED Control Data \6 Pre - AMP PC mux Eyelid movement Detection A/D Comm. Control USB Memory Control Internal Memory RTCC EEPROM Micro-SD (optionally) Power controller DC/DC

  18. Suggested eyelid movement Flow Detection Start Sample Data Digital B.P.F. Store eyelid movements parameters in the EMSD’s memory PC-analyze data

  19. Estimated Timeline

  20. Any Questions...?

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