Client
Our client is a team of pioneering doctors and researchers affiliated with a prominent California-based university. Focused on advancing the field of neurology, they sought innovative solutions to predict migraine risk and enhance their understanding of neurological anomalies.
Challenges
The client faced the challenge of accurately predicting migraine risk in individuals. Traditional methods were limited, and they sought a groundbreaking approach to leverage advanced technology for more precise and early detection.
Our Solutions
We developed a cutting-edge solution that harnessed artificial intelligence and machine learning to predict migraine risk. The core of our approach involved analyzing brain waves recorded through a proprietary hardware device attached to the subject’s ear.
Features of Solutions
- Proprietary Hardware: Our solution utilized a specialized hardware device designed for recording precise brain waves, ensuring accurate data capture.
- Non-invasive and unobtrusive: The ear-worn device provides a comfortable and discreet way to monitor brain waves without interfering with daily activities.
- AI-Driven Anomaly Detection Model: We implemented a robust machine learning model capable of detecting anomalies in the recorded brain wave data. This model was trained to identify patterns associated with heightened migraine risk.
- Dynamic Analysis Capability: The system allows for dynamic analysis of brain wave patterns, providing timely insights and alerts for both individuals and healthcare professionals.
- Scalability: Our solution was designed to scale seamlessly, accommodating an increasing volume of data for more comprehensive research and analysis.
- User-Friendly Interface: The interface was designed with simplicity in mind, enabling both researchers and clinicians to interact with the system effortlessly.
Benefits
- Early Detection: By identifying anomalies in brain waves, our solution enabled early detection of migraine risk, allowing for proactive interventions.
- Personalized Insights: The AI model provided personalized insights, contributing to a more tailored approach to migraine prevention and management.
- Research Advancement: The system empowered the client’s research team by providing a wealth of data for ongoing studies, contributing to the advancement of neurological research.
- Improved Patient Outcomes: With early detection and personalized interventions, our solution aimed to improve patient outcomes by minimizing the impact and frequency of migraines.
Tech stack
Machine Learning Frameworks: TensorFlow, PyTorch
Programming Languages: Python
Data Storage: MongoDB
User Interface: React.js
Hardware Integration: Custom hardware with proprietary communication protocol based on BLE.
About Emorphis
Emorphis Technologies is a world-class software development and solutions company that truly believes in “Innovation in motion”. Delivery innovation on the go at an accelerated pace has been our success mantra to date. Over the years we have provided value to our clients in the field of enterprise mobility, cloud, IoT, backend development, Big Data Analytics, and Blockchain.
We serve industries ranging from unicorns, and startups to large multinationals in the healthcare, telecommunications, fintech, retail, and publishing industry. Our go-to-market software products – iStatement, iPublisher, and iBuggy have proved our metal with positive beneficial customer testimonials. We help our clients with successful product development, consulting services, and testing (manual & automated).
We have profound experience & expertise in various technologies like .Net, J2EE, PHP, iOS, Android, and Cloud Computing viz. Amazon Web services (AWS), Software QA & testing (Manual & Automation). Our designed products are cloud-ready and can be readily deployed on AWS/Azure cloud infrastructure.
Our pivot on engineering innovation and R&D helps quicken time-to-market, ensuring high quality at economies of scale, delivering cult competency for the global marketplace. We ensure that your ideas, concepts, and requirements are backed by brilliant execution at our end. Having said that we extend end-to-end ownership of product/application design, development, and deployment.
