Development of a Biosignal Wearable Technology Platform for Real-Time Health Monitoring

The client aims to enhance personal health and performance tracking by developing a wearable technology platform capable of capturing, visualizing, and analyzing biosignals in real time. Current solutions lack integrated visualization, real-time feedback, and comprehensive health insights, leading to limited user engagement and suboptimal health monitoring.

A mid-sized innovative healthcare technology startup focusing on wearable biosignal devices for health and performance tracking.

• Create a real-time, interactive visualization system for biosignals captured from wearable smart clothing.
• Enable users to monitor muscle activity, emotional states, temperature, blood flow, and other vital biosignals during various activities.
• Implement real-time feedback and alerts to prevent injuries or overtraining.
• Provide users with historical data tracking, analysis, and comparison over multiple periods.
• Support external outdoor tracking through route mapping and calorie estimation.
• Develop a secure, scalable infrastructure that manages device connectivity, biosignal data, and user accounts.

• Real-time 3D visualization of body movements and muscle activity using a cross-platform engine.
• Automatic biosignal tracking via smart clothing sensors during diverse exercises.
• Syncing of real-time mobile camera video with 3D models to show muscle tension.
• Instant feedback and alerts to prevent overexertion or injury based on biosignal thresholds.
• Workout route tracking with map integration for outdoor activities.
• User account management for device addition, connection status, and battery/charge monitoring.
• Historical data storage enabling performance and health trend analysis over different periods.

• Smart clothing biosignal sensors for automatic data acquisition
• Mobile device cameras for real-time video streaming
• Mapping services for outdoor workout route tracking
• User authentication and device management systems

• Real-time data processing latency should be under 2 seconds for live visualization
• Platform should support at least 10,000 concurrent users
• Data security complying with health and privacy regulations
• Reliable device connectivity with minimal disconnections
• High availability with 99.9% uptime on cloud services

The platform is expected to provide users with comprehensive health and performance insights, increase engagement through real-time visualization and alerts, and enable long-term health monitoring. Successful deployment aims to support multiple industries such as sports, fitness, and healthcare, potentially improving user health outcomes, reducing injury risk, and fostering sustained user activity with a scalable, reliable system.