The Challenge

Our client builds and tests advanced medical sensors designed for next-generation wearables. Their work is fast-paced – new chips, new integrations, constant iterations. But that speed came with friction.

• Data lived across separate tools and scripts
  
• Sensor communication was unstable without clear chipset guidance
  
• Engineers couldn’t see live readings or validate results in the moment
  
• Offline tests were risky, with gaps in stored data when connections dropped

They needed one platform to collect, interpret, and visualize everything in real time. Not a demo app, but a tool that could survive daily engineering use

The Build

Itera Research joined as a technical partner to connect the dots between hardware and data. Our goal: create a monitoring system that worked reliably in the lab, in the field, and anywhere in between.

1. Unified App Design

We built a React Native application based on the client’s design guide. Each sensor had its own live graph with filtering by time range and measurement type.

Instead of chasing files, engineers could now track every signal from a single screen: temperature, pressure, acceleration, and heart rate, all streaming in sync.

2. Stable Communication Layer

The next step was communication. Our engineers developed Bluetooth Low Energy (BLE) modules for seamless two-way data flow between the prototype and the app.

Because chip documentation was incomplete, we reverse-tested responses, identified valid parameters, and built our own reference protocol. It turned unstable sessions into reliable transfers, and gave the client a foundation for future devices.

3. Interpreting Raw Signals

Heart-rate data became the toughest puzzle.We created a custom algorithm to interpret PPG readings, the light fluctuations that track blood volume changes.

The process:

• Collect raw signals at consistent 10–15 second intervals
• Filter and clean them to remove noise
• Identify peaks and intervals to calculate accurate BPM and variability

Once calibrated, the app produced clean, trustworthy readings that matched medical-grade equipment benchmarks.

4. Offline Reliability

Because many lab tests happen in limited-connectivity environments, we built asynchronous local data storage. Data continued recording even when the network dropped, syncing automatically later.

Engineers could focus on testing instead of troubleshooting connectivity.

The Outcome

The collaboration produced more than a working app—it reshaped the client’s testing workflow.

• Real-time visualization of nine synchronized sensors
  
• Reliable BLE communication without packet loss
  
• Intuitive interface for fast analysis
  
• Local storage for uninterrupted sessions
  

During validation, the new system revealed that certain fluctuations came from controller latency, not sensor faults. That finding pushed the client to add on-edge data pre-processing in the next prototype, improving accuracy and speed across the board.

A single build cycle turned into a product evolution.

Tools & Technologies

• React Native
• Bluetooth Low Energy (BLE)
• Digital Filtering & Statistical Processing
• Photoplethysmography (PPG)
• Custom Data Analytics Libraries
• Agile Iteration Cycles

Reflection

What stood out wasn’t just the technical precision, it was the partnership mindset. Both teams worked side-by-side, testing, recalibrating, and questioning every assumption until the data told a clear story.

That process didn’t just solve problems; it built trust in the results. Reliable data isn’t a feature. It’s the moment when engineers can finally say, “Yes, this works.”

Every transformation starts with one conversation. Let’s explore how your next prototype can think, measure, and adapt in real time. CONTACT US