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Contact DETAILS:

10 Leo Ave, Tarneit VIC 3029, Australia

Office #51 3rd Floor Crystal Arcade, LMQ Road, Multan

1910 Pacific Ave Suite 2000
PMB2461, Dallas, Texas 75201

+61 421 702 706

connect@devvibe.com

AI-Powered Cardio Jacket ECG Innovation

Projects

Brief and project description

The Portable ECG with 12 Leads (Data Monitoring System) is a cutting edge solution designed for reasonably priced, real time cardiac monitoring. Built with ESP32 microcontroller technology and ECG sensors, it captures heart signals and transmits them instantly to the Firebase Realtime Database. On both Android and iOS, a Flutter based mobile application receives and displays ECG signals in real time. It gives physicians, researchers, and students immediate access to vital cardiac data. 

This device comes in two versions, a 6-lead model enhanced with AI and a 12-lead jacket version, the system offers both flexibility and ease of use, transforming ECG monitoring from a hospital only setup into a portable, scalable, and affordable tool.

The Challenge

Traditional ECG systems are not readily available to researchers or small clinics as they are:

  • Expensive:  Limiting availability for students, researchers, and small clinics.
  • Complex:  Requiring skilled workers for electrode placement.
  • Restricted: Tied to hospitals, with limited mobility.

Developing an ECG solution that is accurate, affordable and easy to use that eliminates placement errors, cuts down on setup time and provides real time visualization was the challenge. 

Technologies and Tools:

ESP32
PCB Design
Flutter
Firebase
Xcode
OCI
Python
XGBoost
Scikit-learn
PyTorch
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Process

DevVibe engineered a robust, low cost architecture for modern ECG monitoring:

Two Versions
  • 6-Lead ECG with AI: Features noise reduction and AI driven anomaly detection for early arrhythmia (any problem in the rate or rhythm of a person’s heartbeat).

  • 12-Lead Jacket ECG: A wearable jacket embedded with electrodes, eliminating the need for placing 12 leads manually. This reduces setup errors and makes the process faster and more comfortable.

Signal Quality
  • Acquisition of avF, avR, and 6 standard limb leads, with expansion to full 12-lead configuration.

  • Integrated Butterworth filters to reduce noise and improve signal clarity.

Cloud & App Ecosystem
  • Secure, real time synchronization is guaranteed via Firebase Realtime Database.

  • Flutter mobile app provides real time visualization on Android & iOS.

Accessibility & Scale
  • Portable, lightweight, and affordable for research and academic purposes.

  • Scalable integration for IoT based health monitoring, healthcare, and educational training.

Artificial Intelligence refers to the development of computer systems that can perform tasks that would typically require human intelligence. It involves the creation of algorithms and models that enable machines to learn, reason, perceive.

Adam Peterson

Key Outcomes

The ECG Monitoring System is affordable and portable with great accuracy, making it ideal for research, education, and rural healthcare. It advances MedTech innovation with real time information and AI powered diagnostics.

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