Delivering continuous heart monitoring through a wearable-powered app
About the project
Rytmo is a mobile-first solution developed with a major corporate research laboratory. It integrates wearable biosensing technology and advanced machine learning models to provide real-time cardiovascular monitoring.
The system connects to custom hardware devices (OmniBuds) via Bluetooth, collects physiological data, and processes it locally on the smartphone for privacy. Users can view intuitive dashboards, generate reports, and securely share insights with healthcare providers.
Challenge
The Rytmo team aimed to bring continuous heart monitoring out of hospitals and into daily life. Fragmented, complex tools missed critical health events between visits, so they needed a patient-first, privacy-focused solution with real-time insights and seamless end-to-end delivery.
Our process
Throughout the project, we focused on turning a research prototype into a reliable, patient-ready mobile solution that works seamlessly with custom wearable hardware.
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Results
The Rytmo MVP showed that continuous heart monitoring is possible through a simple, wearable mobile device. Patients easily paired devices, collected biosignal data, and viewed reports without training — crucial for real-world use. Although external KPIs are still being developed, the solution has moved beyond concept, showing strong potential for wider healthtech use and future clinical collaborations.
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Our approach
We built a fast, research-aligned workflow combining patient-first design, wearable integration, and continuous testing to ensure the product remained safe and clinically meaningful.
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“Working with Halo Lab on Rytmo was a deeply creative partnership. They turned a complex health-sensing idea into a clear design that truly reflects our research vision — thoughtful, precise, and beautifully human.”
Principal Investigator, Rytmo
01 · Discovery & product definition
We agreed on the clinical vision, mapped key user groups (patients and healthcare providers), and defined core flows.
Deliverables
- 2 target segments identified
- 7 competitors thoroughly analyzed
02 · UX & mobile app design
We created patient-first wireframes and UI concepts to simplify biosignal interpretation with clean visuals, navigation, and onboarding guidance.
Deliverables
- 2 UI design concepts proposed
- Elderly-focused accessible UI
- Sensor data visualizations
03 · Wearable integration & development
We built a cross-platform app with stable BLE pairing, local signal processing, modular backend services, and ML-driven insights.
Deliverables
- ML & LLM integration
- BLE pairing logic implemented
- Privacy-first data sharing flows
04 · Collaboration & iteration
Working closely with the research lab, we refined flows through weekly reviews, new hardware requirements, and continuously tested signal quality.
Deliverables
- Hardware-aligned flows finalized
- Real-device stability validated
Team
A cross-functional team worked in close sync, continuously adapting to new insights from classroom trials and robot behavior.
- 1 Project Manager
- 2 Brand Designers
- 2 UI/UX Designers
- 2 Web Designers
- 1 Front-end Developer
- 1 Back-end Developer
- 1 QA Engineer
Technologies
Our stack supported offline interaction, hardware communication, scalable content management, and smooth cross-platform UI.
Team
A tightly coordinated, cross-functional team worked in short cycles, refining UX, integrating hardware, and validating signal quality across real devices.
- 1 Project Manager
- 2 UI/UX Designer
- 3 React Native Developers
- 4 Back-end Developer
- 5 QA Engineer
Technologies
Our stack enabled secure biosignal processing, stable wearable connectivity, and rapid iteration across platforms.
