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Monitoring signs of diagnosed Rheumatoid and

Psoriatic Arthritis patients in the palm joints

(MyArth)

The symptoms of RA and PsA:

Heat increasing in the joints

Swelling of the joints

Changes in skin color at the joint

Both diseases are incurable, therefore the most popular

treatment given by drugs that reduce the severity of

the condition.

The main difficult for the physician is to create a

follow-up of the patient's indicators. The

physicians need to receive a generic and quantitative

picture on the patient over time and not only

based on The patient's visit to the clinic / hospital

every few months.

By this project, the physicians will better understand

the severity of the condition and adjust the most

optimal medical treatment.

Two main systems were developed:

•The first system will monitor common symptoms

Among patients using force and temperature sensors

located close to the injured joints (in every finger) by

Connection to the Arduino Mega controller.

•The second system will take pictures from the joints and

will monitor the color changes during the inflammation,

using the image processing algorithm.

Yarden Gilad & Michael Kogan

Advisor: Dr. Nadav Sheffer

Medical Engineering

The goal of the project is to provide quantitative and

immediate data for rheumatoid arthritis and psoriasis

patients and by tracking common and prominent metrics

in the MCP joints.

User Interface:

Prototype:

Measuring temperature and

swelling of joints with temperature

(TMP36) and force sensors (FSR) -

connected in parallel to Arduino

controller.

Measurement of joint redness

with image processing algorithm -

based on HSV color model and

focusing on the MCP joints (noise

reduction).

Weighing the measurements'

results using thresholds for each

symptom and using a three-state

truth table classification (healthy,

beginning of a flare, flare).

Each finger classified as individual

case and its condition displayed in

the GUI and the test results saved

in Excel file.

Image Processing:

Consists a wooden box that include all

system components together

Ways of inserting fingers across the

components

Joint Temperature Measurement: performed with

temperature sensors located across the joints (one on each

finger) and fixed by 3D components.

Joint Swelling Measurement: performed with force sensors

that measure the mechanical pressure exerted by the joint

and convert it to electrical voltage. with the printing of 3D

components, the sensor can be steady and optimize for

measurement.

Temperature

sensor

Swelling

sensor

The interface contains eight different

system action icons, a numerical results

table and text box for guidance on the test

process and summary of test results.

Image processing (based on HSV

color model) that done on the left

middle finger - the output is

“extreme red”

Input

Output

Pinky, Index, Middle and

Ring Fingers

Thumb Finger

MCP Joints colored red

Hands of patients with RA and

PsA arthritis

Arduino Mega 2560

FSR Sensor

Temperature

Sensor