Epistellar

My Role

Product Designer

Timeline

2024

Tools

Figma, Arduino, Intensive User Research, Blender, Twinmotion, Solidworks

Case Study Time

10 min

Summary

A preventative wearable empowering individuals with epilepsy

through real-time monitoring for enhanced safety and independence.

Background

Project Statement


To empower individuals living with epilepsy to live without limitations, this project seeks to improve safety and increase independence through an innovative wearable experience solution. This project will provide people ability to move independently through their world, providing support and security for which normally a human companion would be necessary.


The Problem


Epilepsy patients can face critical safety issues after a seizure, impacting their independence and leading to social isolation. The lack of awareness in society further increases the risks they face.



The Solution and Value


1- This innovative wearable experience solution detects fall-related seizures

2- Alerts emergency contacts

3- Provides hyper-personalized first aid steps, to build a supportive community to solve the lack of adequate support during seizures in public spaces.

Methodology

While creating Epistellar, I used the Double Diamond methodology developed by the Design Council.

User Research

I collected data from users to serve a broader group, enhancing their usability experience.

more than

50 million people are affected by epilepsy worldwide


During a seizure, individuals may temporarily lose consciousness, sensation, or motor control, leading to falls or, in severe cases, death (CDC)

more than


50 million people are affected by epilepsy worldwide


During a seizure, individuals may temporarily lose consciousness, sensation, or motor control, leading to falls or, in severe cases, death (CDC)

more than

50 million

people are affected by epilepsy worldwide


During a seizure, individuals may temporarily lose consciousness, sensation, or motor control, leading to falls or, in severe cases, death (CDC)

WHO, 2022

WHO, 2022

WHO, 2022

Surveys

I collected data from users to serve a broader group, enhancing their usability experience.

Two surveys were conducted, collecting data from over 45 participants.


According to the second survey results:


20 epilepsy patients
Out of 30 participants,


26% 
of them constantly experience falls during their seizures, and 33.3% sometimes experience falls.

Interviews

I interviewed five people, three parents and two patients, and gathered novel data to understand the main problems, technological needs, and behaviors during and after a seizure.

Key Insights

Some of the results were unexpected, offering new insights and perspectives.


• Safety & Injury

• No awareness about epilepsy.

• Memory Problems


Persona

Personas were created as a synthesis of the research data. Developing personas and a journey map helped me better understand users’ pain points and identify solutions within my limited resources.

Changing Directions

The interview results and feasibility analysis changed my direction.

MVP Map

The MVP map played a pivotal role in shaping my strategic direction.

How it works?

The MVP map played a pivotal role in shaping my strategic direction.

The prototype was created in SolidWorks, rendered in Twinmotion and 3D printed.

User will be able to wear the device in their daily life.

The prototype was created in SolidWorks, rendered in Twinmotion and 3D printed.

User will be able to wear the device in their daily life.

The prototype was created in SolidWorks, rendered in Twinmotion and 3D printed.

User will be able to wear the device in their daily life.

The prototype was created in SolidWorks, rendered in Twinmotion and 3D printed.

User will be able to wear the device in their daily life.

A fall detection sensor was integrated into the product.

If a person with epilepsy experiences a seizure in public, Epistellar will send an alert.

A fall detection sensor was integrated into the product.

If a person with epilepsy experiences a seizure in public, Epistellar will send an alert.

A fall detection sensor was integrated into the product.

If a person with epilepsy experiences a seizure in public, Epistellar will send an alert.

A fall detection sensor was integrated into the product.

If a person with epilepsy experiences a seizure in public, Epistellar will send an alert.

Email notifications to be sent to relatives via Google servers.

Upon receiving the alert, Epistellar will send a message to the person's contacts.

Email notifications to be sent to relatives via Google servers.

Upon receiving the alert, Epistellar will send a message to the person's contacts.

Email notifications to be sent to relatives via Google servers.

Upon receiving the alert, Epistellar will send a message to the person's contacts.

Email notifications to be sent to relatives via Google servers.

Upon receiving the alert, Epistellar will send a message to the person's contacts.

3D visuals were created in Blender and integrated into the website.

Bystanders can scan the Epistellar device's code for first aid training.

Usability Test

After the first test, iterations were made based on the feedback. The second usability test ensured that everything was functioning as intended.The MVP map played a pivotal role in shaping my strategic direction.

Challenges

• Navigating technical and engineering complexities of the 3D product and wearable design.


• Conducting sensitive interviews with empathy while gathering reliable data

What I learned?

• Product Management

• The Value of Research

• The Value of Learning New Tools

What is Next?

Developing Epistellar More with adding GPS feature

Iterating the wearable design for a more minimal look

Add more sensors to monitor triggers

By analyzing this data with machine learning, I aim to enable pre-seizure detection