Presentation on theme: "Sensor on glasses Performed by: Danielle Perez Shuki Eizner Instructor: Alexander Kinko Duration: 2 Semesters Characterization Presentation Part 1 - Winter."— Presentation transcript:
Sensor on glasses Performed by: Danielle Perez Shuki Eizner Instructor: Alexander Kinko Duration: 2 Semesters Characterization Presentation Part 1 - Winter 2012 Characterization Presentation Part 1 - Winter 2012
Table Of Contents Introduction Projects Goals Projects Overview (Semester A) Projects Overview (Semester B) Analog waves- Temporary solution Projects Basic Block Diagram Suggested eyelid movement Flow Detection Projects Implementation Estimated Timeline
Neuro-ophthalmologists and eyelid surgeons analyze lid motility for assessing ptosis, third and seventh nerve palsy, myasthenia gravis, Gravess disease, and Parinauds 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. Introduction
Projects Basic Concept Patient Eyelid Movement Sensor Device (EMSD) Doctor Results of analysis PC Application (Doctors workspace)
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 Projects Goals
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.
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.
Projects 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.
Projects 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.
Projects 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.
Projects 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
Projects Overview (semester B) Full debug of the EMSDs hardware. Designing software for embedded hardware of the EMSD that includes recognition of the required blinks and storing the basic parameters on the EMSDs 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.
Projects Basic Block Diagram Pre - AMP Controller EEPROM Data \6 LEDUser Control User Interface PC USB LED Control RTCC Memory Control Internal Memory Eyelid movement Detection Comm. Control mux Micro-SD (optionally) Coils & magnet A/D Power controller DC/DC Analogue sensor
Suggested eyelid movement Flow Detection Start Sample Data Digital B.P.F. Store eyelid movements parameters in the EMSDs memory PC-analyze data
Projects Implementation A PIC Controller PIC24FJ256GB106 (MicroChip) PC Power Manager BQ24032A (Texas Instruments) DC-DC TPS63000 (Texas Instruments) Rechargeable Battery LIR2450/2032 120/40 mAh (Dantona) 1-Mbit Serial EEPROM 25AA1024 (MicroChip) USB Pre Amp Eyelid Movement Sensor Device (EMSD) Push Buttons (Control) Micro SD LED
Controller - PIC24FJ256GB106 (MicroChip) Low power modes Lots of data storage space Internal hardware implemented RTC (Real Time Clock) Serial EEPROM - 25AA1024 (MicroChip) 1 Mbit + SPI interface Very high reliability (1M erase/write cycles & data retention > 200 years) Low price & very small package Components Choice
Power manager chip - BQ24032A (TI) Suitable for Li-Ion Battery Two sources of external power: USB + solar cell Low price DC-DC converter- TPS63000 (TI) High efficiency (96%) Low price Rechargeable battery - LIR 2450/2032 (Dantona) Capacity of: 120/40 mAh Small Size (button-cell) & low price