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Design of an Apparatus to Measure Elbow Spasticity Team 5: Kevin Glick, Allison Heil, Michelle Cunanan Clients: Dr. Steve Tippett & Dr. Elizabeth T. Hsiao-Wecksler Advisor: Dr. Julie Reyer Course Coordinator: Dr. Martin Morris Objective 1. Demonstrate the ability to quantify elbow spasticity & rigidity 2. Provide sample data for an elbow spasticity simulator Design & Analysis Our prototype can be seen in the images below. Left: FSR and flex sensor are mounted to a compression sleeve and connected to the microprocessor (snowboard). Right: Modified Snowforce interface provided by Kitronyx that displays force in 2D and angular position output Design Constraints: Spasticity and rigidity can be characterized using position, torque, velocity, and torque rate Angular position limited to a range of 0° to 135° Angular velocity will be limited to a range of ±400 deg/s Angular acceleration limited to a range of ±2000deg/s² Torque limited to a range of ±10 Nm Selected Sensor Package: Spectra Symbol 4.5” Flex Sensor Resistance across the sensor increases as the sensor is flexed Needs to be calibrated before each use Outputs angular position (degrees) to text file Sensitronics ThruMode Matrix Array An array of 160 force sensing resistors (FSRs) that allows the user to measure force over the 2”x 3” sensing area Calibrated with known masses Outputs resistance that can be converted to force via post processing data analysis Kitronyx Snowboard Arduino Leonardo with integrated force and touch sensing controllers Access to Snowforce interface with editable Arduino and Processing codes that are compatible with FSR array Schematic: Value to Client Simulation Education: Data collected can be implemented into a robotic elbow to stimulate elbow spasticity/rigidity. Budget Total Cost: $279.92 Project Progression Gantt Chart Deliverables A working prototype measuring device A final report including a recommendation for sensors for a future measuring device A database in Excel that holds all of the experimental data taken with final prototype Initial Concepts/Down-Selection Motion Capture Load Cell & Rotary Encoder Torque Sensor Accelerometer Rotational Potentiometer Inertial Measurement Unit (IMU) Acknowledgements Bradley University Mechanical Engineering Department: Dr. Julie Reyer Dr. Richard Johnson Gayle Dezner Bradley University Physical Therapy Department: Dr. Melissa Peterson Kristen Tetuan Sharon Key Additional Acknowledgements: Deepak Gaddipati James O’Connor Carrie Liang Alex Ferrebee Product Qty Total Cost Kitronyx Snoboard with Sensor Package 1 $ 144.99 Spectra Symbol Flex Sensors 4 $ 45.58 Sensitronics Force Sensitive Resistor Matrix Arrays 2 $ 31.83 Hardware (Jumper Wires, Shift Registers, Multiplexers) N/A $ 57.50 Background Elbow spasticity is a velocity-dependent stiffening of the muscles that affects the motion in the elbow Rigidity is the stiffness or inflexibility present in both agonist and antagonist muscles, and is characterized by the increased resistance to passive movement. Currently measured using a passive stretch-reflex test that has limited sensitivity and is highly subjective Current measurement analysis techniques are qualitative no quantitative Modified Ashworth Scale: Recommendations Develop a more user-friendly interface Use a higher quality sensor to collect position (i.e. fiber optic goniometer or potentiometer) Complete HSRB process to conduct testing on actual patients If testing actual patients, pay attention to dτ/dt (“jerk”) Perform in-situ measurements that is minimally invasive Pressure mapping system that can calculate a net pressure in specific direction (i.e. Pressure Profile Systems Company) Create wire connections with more conductors than a 4 stranded wire McGibbon, C. A., et al. "Elbow Spasticity during Passive Stretch-Reflex: Clinical Evaluation using a Wearable Sensor System." Journal of NeuroEngineering and Rehabilitation 10.1 (2013)SCOPUS. Web. 23 Sep. 2014.

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Page 1: Design of an Apparatus to Measure Elbow Spasticityhilltop.bradley.edu/.../2014_2015_files/Team5... · Design of an Apparatus to Measure Elbow Spasticity Team 5: Kevin Glick, Allison

Design of an Apparatus to Measure Elbow Spasticity

Team 5: Kevin Glick, Allison Heil, Michelle Cunanan

Clients: Dr. Steve Tippett & Dr. Elizabeth T. Hsiao-Wecksler

Advisor: Dr. Julie Reyer Course Coordinator: Dr. Martin Morris

Objective1. Demonstrate the ability to quantify elbow spasticity & rigidity

2. Provide sample data for an elbow spasticity simulator

Design & Analysis

Our prototype can be seen in the images below.

Left: FSR and flex sensor are mounted to a compression sleeve and

connected to the microprocessor (snowboard).

Right: Modified Snowforce interface provided by Kitronyx that

displays force in 2D and angular position output

Design Constraints:

Spasticity and rigidity can be characterized using position, torque,

velocity, and torque rate• Angular position limited to a range of 0° to 135°

• Angular velocity will be limited to a range of ±400 deg/s

• Angular acceleration limited to a range of ±2000deg/s²

• Torque limited to a range of ±10 Nm

Selected Sensor Package:• Spectra Symbol 4.5” Flex Sensor

• Resistance across the sensor increases as the

sensor is flexed

• Needs to be calibrated before each use

• Outputs angular position (degrees) to text file

• Sensitronics ThruMode Matrix Array• An array of 160 force sensing resistors (FSRs) that allows

the user to measure force over the 2”x 3” sensing area

• Calibrated with known masses

• Outputs resistance that can be converted to force via post

processing data analysis

• Kitronyx Snowboard• Arduino Leonardo with integrated force and touch sensing

controllers

• Access to Snowforce interface with editable Arduino and

Processing codes that are compatible with FSR array

Schematic:

Value to Client• Simulation Education: Data collected can be implemented into

a robotic elbow to stimulate elbow spasticity/rigidity.

Budget

Total Cost: $279.92

Project ProgressionGantt Chart

Deliverables• A working prototype measuring device

• A final report including a recommendation for sensors for a

future measuring device

• A database in Excel that holds all of the experimental data taken

with final prototype

Initial Concepts/Down-Selection Motion Capture Load Cell & Rotary Encoder

Torque Sensor

Accelerometer

Rotational Potentiometer

Inertial Measurement Unit (IMU)

AcknowledgementsBradley University Mechanical Engineering Department:

Dr. Julie Reyer Dr. Richard Johnson Gayle Dezner

Bradley University Physical Therapy Department:

Dr. Melissa Peterson Kristen Tetuan Sharon Key

Additional Acknowledgements:

Deepak Gaddipati James O’Connor

Carrie Liang Alex Ferrebee

Product Qty Total Cost

Kitronyx Snoboard with Sensor Package 1 $ 144.99

Spectra Symbol Flex Sensors 4 $ 45.58

Sensitronics Force Sensitive Resistor Matrix Arrays 2 $ 31.83

Hardware (Jumper Wires, Shift Registers, Multiplexers) N/A $ 57.50

Background• Elbow spasticity is a velocity-dependent stiffening of the

muscles that affects the motion in the elbow

• Rigidity is the stiffness or inflexibility present in both agonist

and antagonist muscles, and is characterized by the increased

resistance to passive movement.

• Currently measured using a

passive stretch-reflex test that

has limited sensitivity and is

highly subjective

• Current measurement analysis techniques are qualitative no

quantitative

Modified Ashworth Scale:

Recommendations• Develop a more user-friendly interface

• Use a higher quality sensor to collect position (i.e. fiber optic

goniometer or potentiometer)

• Complete HSRB process to conduct testing on actual patients• If testing actual patients, pay attention to dτ/dt (“jerk”)

• Perform in-situ measurements that is minimally invasive

• Pressure mapping system that can calculate a net pressure in specific

direction (i.e. Pressure Profile Systems Company)

• Create wire connections with more conductors than a 4 stranded wire

McGibbon, C. A., et al. "Elbow Spasticity during Passive Stretch-Reflex: Clinical Evaluation using

a Wearable Sensor System." Journal of NeuroEngineering and Rehabilitation 10.1

(2013)SCOPUS. Web. 23 Sep. 2014.