Logo
  • Cases & Projects
  • Developers
  • Contact
Sign InSign Up

© Copyright 2025 Many.Dev. All Rights Reserved.

Product
  • Cases & Projects
  • Developers
About
  • Contact
Legal
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
Development of Advanced ECG Analysis Platform for Remote Cardiac Monitoring
  1. case
  2. Development of Advanced ECG Analysis Platform for Remote Cardiac Monitoring

This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Development of Advanced ECG Analysis Platform for Remote Cardiac Monitoring

effectivesoft.com
Health & Fitness
Medical
Information technology

Challenge

CardioHealth Solutions requires a robust and accurate solution for automated electrocardiogram (ECG) analysis from mobile cardiac telemetry (MCT) recordings. Their initial in-house development efforts have fallen short of expectations, necessitating a more sophisticated and reliable system capable of handling large volumes of data, minimizing noise, and providing actionable insights for medical specialists. The existing solution lacks accuracy and efficiency in processing and analyzing continuous ECG data.

About the Client

CardioHealth Solutions is a U.S.-based digital healthcare company specializing in remote cardiac monitoring services for clinics and hospitals, leveraging mobile cardiac telemetry (MCT) technology.

Objectives

  • Develop a scalable and reliable ECG analysis platform for remote cardiac monitoring.
  • Automate the analysis of continuous ECG recordings to improve efficiency and reduce manual review time.
  • Achieve high accuracy in detecting arrhythmias and other cardiac abnormalities.
  • Reduce noise in ECG tracings to improve analysis quality.
  • Provide a user-friendly interface for medical specialists to review and interpret analysis results.
  • Ensure compliance with 21 CFR Part 11 regulations.

Functional Requirements

  • Automatic ECG analysis and arrhythmia detection
  • Noise reduction algorithms for improved signal quality
  • Workflow configuration for batch processing of ECG recordings
  • Support for multiple ECG file formats (Dataquest, Ponemah, HL7, ISHNE, Matlab, EDF)
  • Integration with Holter monitors from IntriCon, TZ Medical, and Braemar
  • Graphical and tabular PDF report generation
  • .csv report export for further analysis
  • Beat type classification for comprehensive heart condition assessment
  • Secure user authentication and access control

Preferred Technologies

C#
REST API
WPF
Microsoft SQL Server
Dataquest, Ponemah, HL7, ISHNE, Matlab, EDF file format support

Integrations Required

  • Holter monitor devices (IntriCon, TZ Medical, Braemar)
  • Microsoft Azure Data Services (for scalable data storage and processing)
  • Power BI (for data visualization and reporting)

Non-Functional Requirements

  • Scalability to handle large volumes of ECG data
  • High performance for rapid ECG processing (within 30 seconds for a 24-hour recording)
  • Robust security to protect patient data (Windows account security administration, 21 CFR Part 11 compliance)
  • Cross-platform compatibility (Windows, potentially web-based access)
  • Reliability and availability

Estimated Business Impact

Successful implementation of this ECG analysis platform will enable CardioHealth Solutions to significantly improve the efficiency of cardiac monitoring services, reduce the time required for manual analysis, enhance the accuracy of diagnoses, and ultimately improve patient outcomes. The automation will also allow for scaling the service to a larger patient base and reducing operational costs.

More from this Company

Development of a Web-Based Vessels Market Analytics Platform
Development of a Multi-Industry Task Management and Collaboration Platform
Modernization of Healthcare Communication Portal with Enhanced Collaboration and Workflow Features
Enterprise Virtual Care Platform Modernization and Scalability Enhancement
Development of a HIPAA-Compliant Optical Scanning Diagnostic Platform Console for Ocular Biomechanical Assessment