LifeSignals INC: Real-Time ECG Data Streaming for Remote Patient Monitoring Case Study
Triophore developed a real-time medical data streaming service for LifeSignals INC, enabling seamless ECG data delivery and advanced remote patient monitoring.
The Challenge
Business Problem
LifeSignals INC needed a system to deliver continuous ECG data streams to various client applications with minimal latency and high reliability to enhance remote patient monitoring and enable proactive patient care.
Technical Debt
The client lacked the infrastructure for real-time data streaming, relying on existing mechanisms for data collection and storage that were not optimized for immediate delivery.
The Goal
Develop a real-time medical data streaming service capable of handling high volumes of concurrent ECG data streams with low latency, high reliability, and secure communication.
Technology Stack
Backend
Infrastructure
The Solution
Discovery & Architecture
Triophore designed a comprehensive real-time medical data streaming service leveraging Node.js for a high-performance backend, WebSockets for client-facing streams, MQTT for efficient data ingestion, and Nginx as a reverse proxy and load balancer. The architecture was containerized using Docker for consistent deployment and scalability, ensuring a resilient and scalable infrastructure capable of handling continuous data streams. Protocol bridging was implemented in the Node.js service, consuming data from MQTT topics and re-publishing it over WebSockets.
Development Phase
The solution involved building a Node.js backend with scalable architecture and efficient data buffering. WebSockets were used for persistent client connections, while MQTT facilitated data ingestion from biosensors. Nginx managed connections and load balancing, and Docker containerized all components for simplified deployment. TLS/SSL encryption was implemented for secure data transmission.
Key Feature Implementation
Real-time ECG data streaming, low latency data delivery, high throughput and scalability, secure communication, dual-protocol approach (WebSockets & MQTT), containerized deployment with Docker, and robust infrastructure management.
The Results
Performance
Near-instantaneous delivery of ECG data enabled clinicians to monitor patient vitals in real-time, allowing for prompt responses to critical events.
Scalability
The Node.js, WebSockets, and Docker-based architecture ensured the service could handle a massive influx of data streams and concurrent users without performance degradation.
User Impact
Client applications displayed live ECG waveforms and alerts, significantly enhancing the user experience for healthcare professionals and patients.
Business Efficiency
Proactive healthcare interventions were facilitated by providing immediate access to continuous physiological data, leading to improved patient outcomes and streamlined healthcare processes.