Steady Gait

Fine-tuned for stability, engineered for Parkinson's Patients prone to falls.

Fine-tuned for stability, engineered for Parkinson's Patients prone to falls.

MAIN GOAL

Optimize a existing Medical Assistive Device prototype.

MY ROLE

Product Designer - UX Research, Business Research, Concept Development, User Testing

TIMELINE AND STATUS

2 months, under development

TEAM

UX Designers

Product Designer

UX Researcher

CLIENT

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Parkinsons
Living with Tremors, Stiffness, and Balance Issues

Parkinsons
Living with Tremors, Stiffness, and Balance Issues

Parkinson's Disease is a neurological condition that impairs movement due to the reduction of dopamine, essential for muscle coordination. It manifests in symptoms like tremors, stiffness, and balance problems, notably causing "gait freezing," a temporary inability to walk.

1,000,000 people

In the USA suffer with parkinsons

63%

experience freezing of gait

Steady Gait by Create ability inc
SteadyGait, ankle wearable for Parkinson's Patients

Steady Gait by Create ability inc
SteadyGait, ankle wearable for Parkinson's Patients

The "Steady Gait" prototype, developed by Creatability, is a wearable device for Parkinson's patients, enhancing their walking stability at home. Using rhythmic metronome beats, it promotes a consistent gait, directly addressing mobility challenges associated with Parkinson's. This prototype is a significant advancement in assistive technology, improving independence and life quality for patients, and representing an innovative approach to managing the disease's impact on movement.

Sensors

Sensors embedded to measure feet separation, stride length and other mobility parameters

Sensors

Sensors embedded to measure feet separation, stride length and other mobility parameters

Data Exchange

Data is uploaded to cloud

Data Exchange

Data is uploaded to cloud

Audio Alerts

To alert the users and aid them in maintaining consistent walking patterns.

Audio Alerts

To alert the users and aid them in maintaining consistent walking patterns.

PRoblem with the current prorptype

PRoblem with the current prorptype

Audio Alerts

Audio Alerts

Audio alert in SteadyGait is proven to be less effective because of the sensory overload and cognitive challenges faced by Parkinson's patients, thereby reducing the device's overall efficiency.

Freezing of Gait

Freezing of Gait

Parkinson's patients often experience gait freezing, a condition that causes temporary pauses and hesitations during walking, limiting their mobility and independence.Gait freezing affects up to 53% of people with Parkinson's disease leading to 68% of falls

Visual Demonstrating how Freezing of Gait feels like

Visual Demonstrating how Freezing of Gait feels like

Solution

Solution

Freeze release by setadygait

Freeze release by setadygait

Smart Gait Monitoring + Vibrotactile alerts = Prevention of Freezing of Gait

An improvised ankle wearables that detect gait freezes, as well as gait patterns, and emits a vibration to break FoG. A machine learning algorithm will collect gait data to predict incidents before they occur and tell users how to fix their gait to avoid them. A native application reduces the number of visits to the doctor and therapist by sharing gait data via dashboards.

Vibrotactile Alerts

Vibrotactile Alerts

Vibrotactile alerts offer a direct and intuitive sensory feedback, with studies showing that up to 85% of Parkinson's patients respond positively to tactile cues, making them an ideal replacement for audio alerts.

Smart Gait Monitoring

Smart Gait Monitoring

Utilizing advanced machine learning techniques, Freeze Release detects the onset of gait freezing in Parkinson's patients. This technology senses and identifies walking disruptions characterized by temporary pauses and hesitations, improving mobility and safety for the patients.

Fall prevention

Fall prevention

Using sensors, such as accelerometers and gyroscopes, attached to the ankles, it can track movement and analyze gait patterns. Machine learning algorithms can then process this data and detect changes in gait that indicate an increased risk of gait freezing.

Once the gait is detected, the system can alert the user to modify their gait, either through through haptic feedback, such as a vibration. By correcting their gait, the user can reduce the risk of gait freezing and prevent falls and other accidents.

24/7 Data Collection and Sharing

24/7 Data Collection and Sharing

This data can provide insights to doctors on whether the medication dosages prescribed to a patient are effective or not. By analyzing the data, doctors can identify patterns or trends that may indicate whether the patient is responding positively or negatively to the treatment.

Physical therapists can use this data to better understand the effects of ongoing therapy on the patient's body. They can analyze the data to see how the patient is responding to the therapy and make any necessary adjustments to ensure that the therapy is effective.

Double Diamond design process

Double Diamond design process

Owing to the project's scale, the substantial resources needed, and the established schedule, we chose the Double Diamond Design approach, guaranteeing user participation at each stage.

#Enhanced transparency

#Optimal use of time and resources

#User satisfaction

#Higher quality outcomes

Understanding Parkinson's patients

What can steadyGait do better?
Desk Research

What can steadyGait do better?
Desk Research

To inform our design for Parkinson's patients, we conducted thorough research. We studied articles by Parkinson's experts and utilized research papers and case studies to understand the causes of falls and walking challenges in these patients. This research was pivotal in shaping a design that addresses the high risk of falls and hospitalizations in Parkinson's patients, providing insights into their unique needs and contributing to a more effective solution.

Understanding the market
Environmental Analysis

Understanding the market
Environmental Analysis

We initiated our environmental analysis using the 'four teardrop' framework to understand market dynamics, key trends, market and industry forces, and macroeconomic factors. This comprehensive approach strategically ensured our product's relevance and adaptability in the evolving market, aligning with user needs and broader landscape factors, as detailed in our analysis.

Rising cost of Parkinson’s care

7+ doctor visits

Lack of Gait altering products

Validating the opportunity
User research

Validating the opportunity
User research

After conducting desk research and environmental analysis, it was crucial to apply these theoretical insights to real-world contexts through user research. This step served as a crucial validation, moving beyond academic theory to grasp the practical implications and realities. It deepened our understanding of our target demographic, blending quantitative data with qualitative insights. By integrating user research, which included interviews, surveys , with our initial findings, we refined our product design approach to be both data-driven and user-centric.

10 +
Semi Structured Interviews.


Doctors,

Physical therapists,

Patients,

Caregivers

10 +
Semi Structured Interviews.


Doctors,

Physical therapists,

Patients,

Caregivers

The interview questions ranged around understanding living with the disease, how to manage it, treatment options, and patients' perceptions of medical technologies and physical therapy

Analyzing the Research

Analyzing the Research

Using research techniques, I gathered comprehensive data, including numerical metrics and user feedback, to identify specific challenges for the SteadyGait device. Employing triangulation, I analyzed this data from various sources for a complete understanding. I then reviewed the data thoroughly, summarizing key points on Post-it notes. These were organized using an Affinity Diagram, grouped by connections and labeled for clarity, aiding in the analytical process of the research..

Pinpointing the challenges

Upon delving into the complexities of Parkinson's disease in the "Discover" phase, our next step is to crystallize those findings in the "Define" phase. Here, we meticulously break down and outline the specific challenges identified.

To really grasp what our users are feeling and thinking, I turned to the Empathy Map tool. By doing this, we get a closer look at their needs, challenges, and emotions. This map became our guide, ensuring every design decision reflected our users' real-world experiences and feelings.

Building on the insights from the Empathy Map, we developed a detailed persona that encapsulated the typical user's characteristics and needs. Further, to trace the user's experiences more holistically, we crafted a Customer Journey Map. This map offers a structured overview of the emotions and challenges users face throughout their daily interactions, ensuring we capture every nuance of their experience

"Avg 16 times per day the user feels stuck"

Discoveries

PARKINSON'S PATIENTS FREQUENTLY ASK THEMSELVES "HOW CAN I PREVENT FREEZING OF GAIT "

UNCERTANITY REGARDING THE EFFECIENCY OF THIER MEDICATIONS AND PHYSICAL THERAPHY

NEED FOR OTHER FORMS OF FEEDBACK

PARKINSON'S PATIENTS FREQUENTLY ASK THEMSELVES "HOW CAN I PREVENT FREEZING OF GAIT "

UNCERTANITY REGARDING THE EFFECIENCY OF THIER MEDICATIONS AND PHYSICAL THERAPHY

NEED FOR OTHER FORMS OF FEEDBACK

How might we relieve Parkinson’s patients’ burden of gait problems, reduce fear, and prevent freeze altogether?

How might we relieve Parkinson’s patients’ burden of gait problems, reduce fear, and prevent freeze altogether?

Develop

Develop

Incorporating Design Research: Bridging Insights and Innovation

As we move forward in the development stage, we directly address the root problem our users face: Freezing of Gait (FoG). Our central challenge is devising a method to "How can we intercept FoG before it starts and thus prevent falls?"


Diving into the brainstorming session, we brought with us a wealth of research on avoiding Freezing of Gait and overcoming the mental blocks it can create.

Rapid ideation
Crazy 8's

In the ideation phase , we employed the Crazy 8's method, a dynamic and efficient approach to brainstorming and flow development

From concepts to screens
Sketching the Screens

In this phase of the case study, the focus was on creating a low-fidelity prototype to enhance the user experience. Sketches of each app screen were crafted for user testing, enabling participants to navigate as if using an actual device. This approach revealed usability issues, leading to iterative refinements based on user feedback, thus improving the interface's usability at an early stage.

We developed three potential solutions to address the issue at hand. For each solution, we performed a swift SWOT analysis to assess its strengths, weaknesses, opportunities, and threats.

These were then showcased to Create Ability. After careful consideration, Create Ability chose the third proposal, which involves transforming an existing product into an intelligent device. The features envisioned for this concept included:

Machine learning feedback

Predicts falls

Vibrotactile Feedback

Sharing Gait Data

Working of steadyGait
Real-Time Gait Freeze Detection and Intervention System


Working of steadyGait
Real-Time Gait Freeze Detection and Intervention System

An improvised ankle wearables that detect gait freezes, as well as gait patterns, and emits a vibration to break FoG. A machine learning algorithm will collect gait data to predict incidents before they occur and tell users how to fix their gait to avoid them. A native application reduces the number of visits to the doctor and therapist by sharing gait data via dashboards.

Gait Data sent to stakeholders

The gait data is utilized by stakeholders to determine whether the current medications and therapy are effective, and to decide if any adjustments are necessary

DOC

Freeze Gait Pattern detected

Gradual decrease in step size

Trembling in place

Complete akinesia

Vibrotactile feedback to break FoG

Haptic feedback around the ankle to redirect users attention avoiding mental blocks and freeze

Notification sent to mobile application

A push notification is sent to the user's mobile device, asking if they've experienced a gait freeze. The user responds 'Yes' or 'No'. A 'Yes' response prompts the machine learning algorithm to log the event and analyze gait patterns for future prevention. If 'No', the app continues sending notifications to collect more data.

Freezing of Gait deducted

active

Gait Data sent to stakeholders

The gait data is utilized by stakeholders to determine whether the current medications and therapy are effective, and to decide if any adjustments are necessary

DOC

Freeze Gait Pattern detected

Gradual decrease in step size

Trembling in place

Complete akinesia

Vibrotactile feedback to break

Haptic feedback around the ankle to redirect users attention avoiding mental blocks and freeze

Notification sent to mobile application

A push notification is sent to the user's mobile device, asking if they've experienced a gait freeze. The user responds 'Yes' or 'No'. A 'Yes' response prompts the machine learning algorithm to log the event and analyze gait patterns for future prevention. If 'No', the app continues sending notifications to collect more data.

Freezing of Gait deducted

active

Streamlining the Interface
User Experience Flows

Streamlining the Interface
User Experience Flows

To enhance our prototyping process, we focused on rapid and efficient wireframe iterations. We narrowed down the 'Steady Gait' concept into four core interface typologies: 'Onboarding', 'Gait Test', 'Freeze Release ', and 'Stakeholder Screens'. This streamlined approach, informed by stakeholder collaboration, laid the groundwork for our wire framing phase.

onboarding Flow

onboarding Flow

From the landing page, new users and returning users without saved credentials can easily sign up or log in. The sign-up flow includes entering basic account details such as name, email, username, and password. Additionally, it facilitates the seamless connection of the Steady Gait device to their smartphone.

Gait Test Flow

Gait Test Flow

In the Gait Test Flow, once the assistive device is connected, the user is prompted to perform a series of movements to enable data collection. The machine learning system in the device utilizes sensors like accelerometers and magnetometers to gather gait data. Users will be guided through necessary actions, such as moving their leg and walking slowly, to ensure accurate gait analysis

Freeze Release Flow

Freeze Release Flow

Upon detection of a freeze gait pattern characterized by symptoms like reduced step size, trembling, or akinesia, the system activates vibrotactile feedback around the user's ankle to interrupt the freeze of gait (FoG).The consolidated gait data, informed by user interactions, is subsequently sent to stakeholders.

Stakeholder Flow

Stakeholder Flow

In the Stakeholder Flow, stakeholders begin by accessing customized dashboards that present the analyzed data. These dashboards offer a clear view of the insights extracted from the data collected by the assistive device's sensors. This information is critical for stakeholders to assess the effectiveness of ongoing treatments and to make informed decisions regarding potential therapeutic adjustments.

Deliver

Deliver

Enhancing Gait stability
An Integrated IoT Ecosystem

Enhancing Gait stability
An Integrated IoT Ecosystem

An integrated IoT ecosystem was crucial, providing real-time user data and feedback that shaped the user interface and interaction design. The establishment of an ecosystem was necessary to foster a comprehensive, user-centered design process that could adapt dynamically to the evolving needs of stakeholders.

Fall Prevention

Fall Prevention

Using sensors, such as accelerometers and gyroscopes, attached to the ankles, it can track movement and analyze gait patterns. Machine learning algorithms can then process this data and detect changes in gait that indicate an increased risk of gait freezing.

Once the gait is detected, the system can alert the user to modify their gait, either through through haptic feedback, such as a vibration. By correcting their gait, the user can reduce the risk of gait freezing and prevent falls and other accidents.

Reducing no of doctor visits
24/7 Data Collection and Sharing

Reducing no of doctor visits
24/7 Data Collection and Sharing

This data can provide insights to doctors on whether the medication dosages prescribed to a patient are effective or not. By analyzing the data, doctors can identify patterns or trends that may indicate whether the patient is responding positively or negatively to the treatment.

Physical therapists can use this data to better understand the effects of ongoing therapy on the patient's body. They can analyze the data to see how the patient is responding to the therapy and make any necessary adjustments to ensure that the therapy is effective

Improving overall Gait
Smart Gait Monitoring

Improving overall Gait
Smart Gait Monitoring

Utilizing advanced machine learning techniques, Freeze Release detects the onset of gait freezing in Parkinson's patients. This technology senses and identifies walking disruptions characterized by temporary pauses and hesitations, improving mobility and safety for the patients.

Takeways of project

Takeways of project

🌪️ Navigated the fast-paced world of Agile design, adapting quickly and efficiently to evolving project requirements.


🤝 "Collaborated effectively with multiple stakeholders, balancing diverse perspectives and needs in the design process."

💡🖥️ Demonstrated the powerful synergy of technology and design thinking, creating innovative solutions that highlight their combined potential.

🎯 Emphasized the importance of early design direction, showcasing its impact on successful project outcomes.

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