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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

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

slide6

Basic Concept

Overview

Patient

Doctor

Eyelid Movement Sensor

PC Application

Results of analysis

1

slide7

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

slide9

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

slide16

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

slide19

1

2

3

4

5

slide20

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

slide23

Block Diagram

  • hardware

3

slide24

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

slide34

1

2

3

4

5

slide35

What’s next?

What’s next?

Full integration of the system

Adaption for clinical tests

5

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