Real-Time Health Monitoring App: Track Brain & Heart Insights
Timeline: 11 Months| Country: United States
Project Brief
This mobile app leverages cutting-edge technology to provide users with real-time insights into their heart and brain activity by connecting to devices such as smartwatches, fitness trackers, and chest sensors. By monitoring and analyzing emotional responses, users can gain a deeper understanding of how different experiences—whether it's watching a video, attending a live event, or engaging in an interactive story—affect their body and mind.
The app's seamless integration with popular devices like Fitbit and Whoop, along with its intuitive user interface, makes it easy for users to track their emotional and physical states. With a focus on real-time processing and accurate data collection, the app empowers individuals to monitor their health in diverse situations, helping them make informed decisions about their emotional well-being. Whether it's for personal use, healthcare providers, or brands aiming to assess audience engagement, the app offers actionable insights into human behavior and response. The app leverages advanced neuroscience algorithms developed by the client’s neuroscientists to analyze real-time health and emotional data. These algorithms ensure accurate insights, enabling users to track and understand their body’s responses effectively.
By transforming any device into a real-time neuroscience panel, the app opens up new opportunities for health monitoring, emotional analysis, and user engagement, making it a groundbreaking tool for tracking body responses and emotional states.
Client's Need
- The client approached us with the need for a robust mobile app that seamlessly connects to a variety of devices, including smartwatches, cameras, and chest sensors, to track both heart and brain activity in real-time. The platform should provide users with instant, actionable insights into their emotional and physiological responses, allowing them to monitor their health while engaging with various experiences like videos, live events, and interactive content
- Additionally, the system requires a secure and scalable backend capable of handling large volumes of sensitive health data while ensuring privacy. The client seeks to create a reliable, user-friendly tool that can grow alongside increasing user demand and offer valuable health insights that cater to both personal users and professional healthcare providers.
Technologies
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iOS
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Android
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Dynamo DB
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Postgres SQL
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React JS
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Node JS
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MQTT
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S3 Bucket
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SES
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SQS
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Graph QL
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Challenges
- The app needed to handle sensitive health data, including heart and brain activity, which demanded strict adherence to privacy regulations. Ensuring secure storage and transmission of this data was critical to protect users from data breaches or unauthorized access. Additionally, the anonymization of data to protect user identities added complexity.
- The app required real-time synchronization of health data from a variety of devices, including smartwatches, cameras, fitness trackers, and chest sensors. Each device produced data in different formats and frequencies, making synchronization complex. Ensuring seamless connectivity between devices and the central system was vital for accurate and timely data processing.
- During live events or large-scale interactive sessions, the system had to support thousands of concurrent users without performance degradation. The challenge lay in maintaining low latency and real-time data processing while ensuring a stable user experience under heavy loads.
- Presenting real-time health metrics in a clear and intuitive manner posed a significant challenge. Users needed to quickly grasp their health data and emotional responses through graphs, charts, and other visual aids.
- Tracking user sessions and ensuring consistent health data capture during those sessions required precise coordination between the app and connected devices. Any data loss or inaccuracies could undermine user trust and data reliability.
- During live events, the system needed to handle rapid data streams from multiple devices while ensuring real-time updates for users and administrators. Delays or data mismatches could compromise the accuracy of insights.
Solution By Kanhsoft
- To address these challenges, we implemented end-to-end encryption for all data transfers and secure data storage using advanced encryption standards. A comprehensive data anonymization process was also integrated to ensure that identifiable information was removed before analysis. Role-based access controls (RBAC) restricted data access to authorized personnel, ensuring compliance with privacy regulations.
- We utilized the MQTT protocol, which is optimized for lightweight and efficient data transfer. Custom device drivers and data parsers were developed to standardize data from different sources. A real-time message queue system was implemented to handle asynchronous data streams, ensuring smooth synchronization without delays.
- We designed a cloud-based infrastructure with auto-scaling capabilities, allowing the system to dynamically allocate resources based on user load. Load balancers distributed traffic across multiple servers, and a caching mechanism reduced database queries for frequently accessed data. Stress testing and performance tuning ensured the system could handle peak loads efficiently.
- We developed an advanced data visualization framework using different libraries to create dynamic and interactive graphs. neuroscience algorithms were optimized for real-time data aggregation and rendering, providing users with visually appealing and easy-to-understand insights.
- A dynamic session management system was built to track user activity in real time. Health data from devices was buffered and synchronized with the session tracker to prevent data loss. Backup mechanisms and retry logic ensured seamless data capture even in cases of temporary connectivity issues.
Key Features
- Synchronizes heart and brain activity data from smartwatches, cameras, fitness trackers, and chest sensors using MQTT protocol.
- Advanced neuroscience algorithms designed by the client’s neuroscientists enable precise analysis of real-time data, offering actionable insights into user behavior and emotional states. Provides interactive and intuitive graphs, charts, and dashboards for real-time health and emotional insights
- Implements end-to-end encryption, data anonymization, and role-based access control for secure handling of sensitive health data.
- Supports isolated data environments for multiple organizations with tenant-specific access controls.
- Utilizes auto-scaling and load balancing to handle high user volumes during live events. Manages diverse user roles such as tenant admin, manager, and participant with specific access privileges.
- Tracks user sessions with real-time data buffering and retry mechanisms to prevent loss. Ensures compatibility with a wide range of health-tracking devices through custom drivers and parsers.
- Employs distributed processing pipelines to deliver accurate, real-time data insights during live sessions.
- Supports dynamic email templates for user-specific notifications and health summaries. Displays real-time insights on user engagement, allowing playback, graphing, and data aggregation for deeper analysis.
- Leverages health and engagement data to predict user emotions, providing actionable insights for personalized ads and targeted marketing campaigns.