Eyelid movement sensor device
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Eyelid movement sensor device. Danielle Perez & Shuki Eizner Boaz Blankrot & Leon Karabchevsky Adi Hanuka. January 8 th , 2013. Acknowledgments. Prof. Schächter Levi Mr. Eli Shoshan Mr. Alex Kinko Mr. Stanislav Shapira. Contents. 1. 2. 3. 4. 5. Overview. Overview.

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Eyelid movement sensor device

Eyelid movement sensor device

Danielle Perez & ShukiEizner

Boaz Blankrot & Leon Karabchevsky

AdiHanuka

January 8th, 2013


Acknowledgments

Acknowledgments

Prof. Schächter Levi

Mr. Eli Shoshan

Mr. Alex Kinko

Mr. StanislavShapira


Eyelid movement sensor device

Contents

1

2

3

4

5


Overview

Overview

Overview

Doctors: Monitoring neurologic diseases and eyelid disorders by analyzing eyelid movements.

Our Main Goal: Develop a device for monitoring eyelid motion, acquiring the eyelid movements and enabling analysis of the results.

1


How it works

How it works?

Overview

1


Eyelid movement sensor device

Basic Concept

Overview

Patient

Doctor

Eyelid Movement Sensor

PC Application

Results of analysis

1


Eyelid movement sensor device

Collaboration

Hardware part

- Memory

- Power

- Schematics draws

Overview

USB cable

  • Software part

  • User experience

  • Integration

  • - Robust

  • Physical part

  • Magnetic field measurement

  • - Algorithm

1


Device requirements

Device Requirements

Overview

  • Portable system

  • Samples each eye separately

  • Evoked motion

  • Device’s output: position, velocity , frequency

  • Two operating modes:

    • Real time - data stored on the computer

    • Offline - data stored on the device’s memory

  • User friendly interface

    • Data analysis and presentation

    • Multiple tests for a single patient

  • 1


    Eyelid movement sensor device

    1

    2

    3

    4

    5


    Physical part

    Physical part

    • Physical

    Goals

    • Measure the field of a tiny magnet attached to the upper eyelid

    • Establish the voltages of 4 Hall probes located on the device

      • The voltages are indicative to the motion of the magnet

  • Inverse algorithm that establishes the motion from the voltage measurements

  • 2


    Physical part1

    Physical part

    • Physical

    Hall probes

    magnet

    1

    2

    4

    Glasses

    Sensors system

    Sample

    &

    processing

    3

    2 - Algorithm

    Computer

    Presentation &

    analysis

    Data

    Base

    1 - Signal Characterization

    Magnetic field measurement

    2


    Experiment

    1 - Signal Characterization

    Experiment

    • Physical

    2- Hall probes and

    circuit holder

    3- Complete device

    1- Artificial eyelid

    and magnet

    2

    4- Typical voltage measurements from 2 probes (V1,V3)


    Hall probe sensor

    1 - Signal Characterization

    Hall probe sensor

    • Physical

    • The strength of the magnet’s field

      varies with the distance

    • A voltage is applied to the sensor which returns a voltage that is linear with the strength of the magnetic field

    • If properly calibrated, the system’s voltage represents the distance between the magnet and the sensor

    B=f(r)

    V B

    V=g(r)

    2


    Physical part2

    2 - Algorithm

    Physical part

    • Physical

    magnet

    Glasses

    Sensors system

    Sample

    &

    processing

    2 - Algorithm

    Computer

    V=g(r)

    Presentation &

    analysis

    r=f(V)

    Data

    Base

    1 - Signal Characterization

    Magnetic field measurement

    r

    r

    V

    r

    V

    V

    V

    V

    r

    r

    r

    V

    V

    2


    The challenge

    2 - Algorithm

    The challenge

    • Physical

    1

    2

    4

    3

    y

    V1 B1

    V3 B3

    x

    z

    2


    Eyelid movement sensor device

    2 - Algorithm

    Simulation-Magnetic field in time

    • Physical

    B1

    B3

    2


    Solution probe plane

    2 - Algorithm

    Solution- Probe plane

    • Physical

    B1=f(r1,r3)

    B3=f(r1,r3)

    r1=h(B1, B3)

    r3=h(B1, B3)

    • Once “r1 “ and “r3“ are determined, knowing “d” makes the location

    • of the magnet a trivial geometric problem

    2


    Simulation m agnetic field vs the distance

    Simulation-Magnetic field vs. thedistance

    • Physical

    2


    Eyelid movement sensor device

    1

    2

    3

    4

    5


    Eyelid movement sensor device

    Hardware part

    Overview

    Hardware part

    -Memory

    -Power

    - Schematics draws

    USB cable

    1


    System requirements

    System Requirements

    • hardware

    • Design and implementation of portable PCB with the following capabilities:

      • The system can store the data in two non-volatile memories,

      • micro-SD and EEPROM.

      • Computer interface using a USB cable.

      • Alerts & Control (LEDS and switches).

      • Capable to measure each eye separately.

      • Powered by rechargeable battery

    3


    Design flow

    Design Flow

    • hardware

    • Market survey

    • Schematics

    • Routing

    • PCB production

    • HW debug- software

    • Integration

    3


    Eyelid movement sensor device

    Block Diagram

    • hardware

    3


    Eyelid movement sensor device

    1

    2

    3

    4

    5


    Software overview

    Software Overview

    Software

    The demand for an easy to use, fast to learn, robust & all-encompassing environment led to the development of:

    Eyelid Pro, combined with the Eyelid Sensor Device embedded software, forms a complete and user-friendly solution for recording, analyzing and documenting patients’ eyelid movement.

    Eyelid Sensor Device embedded software

    Eyelid Pro

    USB

    4


    Main concept

    Main Concept

    Software

    • Portable, low-power plug & play system

    • Well- defined doctor-patient work flow

      • Based on customer specifications, flowchart design

  • Built-in operating assistant & user’s manual

    • Tool-tips, guided installation, fully documented design

  • Utilized & fine-tuned for maximum performance and user experience

  • 4


    Eyelid pro

    Eyelid Pro

    Software

    • End-to-end, flow-oriented design

    • Real-Time data acquisition

    • Simply accessible results database

    • Simultaneousmultiple device support

    • Easily deployable platform

    • Powerful results viewer & analyzer

    • Integrated results comparison tool

    4


    Eyelid pro1

    Eyelid Pro

    Software

    • End-to-end, flow-oriented design

      • High review rate

      • User error fail-safes

      • End case reference

    4


    Eyelid pro2

    Eyelid Pro

    Software

    • Real-Time data acquisition

      • Incorporates the abilities of the results viewer with a real-time data link

      • Ability to store the session

      • Adjustable sample viewing window

    • Simply accessible results database

      • Easily updatable patients record

      • Ignore\un-ignore session data

    • Simultaneous multiple device support

      • Automatic device detection & user selection option

    • Easily deployable platform

      • Just press “install”…

    4


    Eyelid pro3

    Eyelid Pro

    Software

    • Powerful results viewer & analyzer

      • Annotation support

      • Session remarks

      • Advanced toolbar

      • Full screen view

      • Cursor positioning

      • Image export

    4


    Eyelid pro4

    Eyelid Pro

    Software

    • Integrated results comparison tool

      • Visually compare date between different session & even different patients

      • Ability to adjust all axes simultaneously or separately

    4


    Eyelid sensor embedded sw

    Eyelid Sensor Embedded SW

    Software

    • Easy to operate user-end controls

      • On/Off/Sleep mode switch

      • Start/Stop sampling switch

      • Device is ‘foolproof’ – device operates only according to pre-defined workflow

    • Integrated user notification system

      • Device state indication by 2 tri-color LEDs and buzzer

    • High speed device-PC data streaming link using USB

      • Maximum throughput – 1.2MB/sec

    4


    Eyelid sensor embedded sw1

    Eyelid Sensor Embedded SW

    Software

    • Accurate multi-sensor data acquisition

      • 8 sensor sampling at 400Hz effective rate each

      • x4 oversampling (1600Hz) for noise reduction

      • 80% data compression ratio

    • High capacity micro-SD storage solution for long recording time

      • Data acquisition rate of 3.1KB/sec – or almost 3MB for a 15 minute session

      • Due to storage restrictions a microSD card is used to store information (up to 2GB of storage)

      • When connected, the device is recognized as a disk-on-key drive, enabling: robustness, speed, ease-of-use& future development

    4


    Eyelid movement sensor device

    1

    2

    3

    4

    5


    Eyelid movement sensor device

    What’s next?

    What’s next?

    Full integration of the system

    Adaption for clinical tests

    5


    Eyelid movement sensor device

    Questions

    ?


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