AI-ECG Platform

JSON twin: https://www.healthaidb.com/software/ai-ecg-platform.json

Company Name

Shenzhen Carewell Electronics

Product URL

https://www.carewell.com.cn/en/AI-ECG.html

Company URL

https://www.carewell.com.cn/

Categories

• clinical Care
• diagnostic Support
• cardiology
• imaging Software
• ai Clinical Documentation Integrity
• clinical Decision Support
• Clinical
• Diagnostic
• Medical Imaging
• Artificial Intelligence

Summary

The AI-ECG Platform by Shenzhen Carewell Electronics is an AI-powered system designed to assist healthcare professionals in analyzing and interpreting 12-lead resting ECG data, aiding in the detection of common cardiac abnormalities.

Description

The AI-ECG Platform is a distributed ECG auto-analysis system that utilizes artificial intelligence to support physicians in measuring and interpreting 12-lead resting ECGs. It assists in identifying cardiac abnormalities such as arrhythmias, myocardial infarction, ventricular hypertrophy, and abnormal ST-T changes. The platform is intended for use by qualified healthcare professionals in hospitals and other healthcare facilities. It is compatible with ECG devices that export recordings in formats like Carewell ECG, HL7 aECG, DICOM ECG, SCP ECG, or MFER ECG. The system comprises an AI-ECG Workstation for fast AI computing, a web-based Management Portal for organizational settings and ECG test tasks, and an AI-ECG Diagnostic Client for ECG review and report generation. The AI-ECG Platform is not intended for patient monitoring or for use with non-standard leads or electrodes without conductive paste/gel/fluid. Interpretation results are advisory and should be used in conjunction with the physician's knowledge of ECG.

Api Available

yes

Certifications

• FDA 510(k) clearance
• CE certification

Company Founding

1999

Company Offices

• China
• United States
• European Union
• Global

Compliance

• HIPAA
• GDPR
• HITECH
• SOC 2
• ISO 27001

Customers

Data Residency

US/EU regions

Data Standards

• HL7 aECG
• DICOM ECG
• SCP ECG
• MFER ECG

Deployment Model

• SaaS
• on_prem
• hybrid

Features

• AI-powered ECG analysis
• 12-lead resting ECG interpretation
• Ambulatory ECG analysis
• ECG waveform recognition
• ECG measurement and interpretation
• ECG report generation
• ECG data export in multiple formats
• ECG data storage and management
• ECG data security and compliance
• ECG data backup and recovery
• ECG data sharing and collaboration
• ECG data visualization and reporting
• ECG data integration with other systems
• ECG data analytics and insights
• ECG data monitoring and alerts
• ECG data quality assurance
• ECG data validation and verification
• ECG data audit trails
• ECG data access control
• ECG data user management

Id

SW0515

Integration Partners

Integrations

• Carewell ECG devices
• HL7 aECG
• DICOM ECG
• SCP ECG
• MFER ECG

Languages Supported

• English
• Chinese

Last Updated

2025-10-11

License

Commercial

Market Segment

• Enterprise
• SMB

Optional Modules

• ECG data archiving
• ECG data compression
• ECG data encryption
• ECG data anonymization
• ECG data de-identification
• ECG data pseudonymization
• ECG data masking
• ECG data tokenization
• ECG data redaction
• ECG data obfuscation

Os Platforms

• Windows
• macOS
• Linux

Pricing Details

Contact vendor for pricing information.

Pricing Model

Subscription

Privacy Features

• BAA available
• Consent management
• Anonymization
• Data minimization

Product Code

SW0515

Product Name

AI-ECG Platform

Ratings

Regions Available

• China
• United States
• European Union
• Global

Related Urls

• https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices

Release Year

Security Features

• Encryption
• RBAC
• SSO/SAML
• Audit logs
• 2FA

Specialties

• Cardiology
• Electrocardiography
• Arrhythmia Detection
• Cardiac Imaging

Support Channels

System Requirements

Windows 7 or above; macOS 10.13 or above

Target Users

• Clinicians
• Cardiologists
• Healthcare Professionals
• Medical Technologists

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON

{
  "product_name": "AI-ECG Platform",
  "company_name": "Shenzhen Carewell Electronics",
  "product_url": "https://www.carewell.com.cn/en/AI-ECG.html",
  "company_url": "https://www.carewell.com.cn/",
  "related_urls": [
    "https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices"
  ],
  "product_code": "SW0515",
  "summary": "The AI-ECG Platform by Shenzhen Carewell Electronics is an AI-powered system designed to assist healthcare professionals in analyzing and interpreting 12-lead resting ECG data, aiding in the detection of common cardiac abnormalities.",
  "description": "The AI-ECG Platform is a distributed ECG auto-analysis system that utilizes artificial intelligence to support physicians in measuring and interpreting 12-lead resting ECGs. It assists in identifying cardiac abnormalities such as arrhythmias, myocardial infarction, ventricular hypertrophy, and abnormal ST-T changes. The platform is intended for use by qualified healthcare professionals in hospitals and other healthcare facilities. It is compatible with ECG devices that export recordings in formats like Carewell ECG, HL7 aECG, DICOM ECG, SCP ECG, or MFER ECG. The system comprises an AI-ECG Workstation for fast AI computing, a web-based Management Portal for organizational settings and ECG test tasks, and an AI-ECG Diagnostic Client for ECG review and report generation. The AI-ECG Platform is not intended for patient monitoring or for use with non-standard leads or electrodes without conductive paste/gel/fluid. Interpretation results are advisory and should be used in conjunction with the physician's knowledge of ECG.",
  "categories": [
    "clinical Care",
    "diagnostic Support",
    "cardiology",
    "imaging Software",
    "ai Clinical Documentation Integrity",
    "clinical Decision Support",
    "Clinical",
    "Diagnostic",
    "Cardiology",
    "Medical Imaging",
    "Artificial Intelligence"
  ],
  "market_segment": [
    "Enterprise",
    "SMB"
  ],
  "target_users": [
    "Clinicians",
    "Cardiologists",
    "Healthcare Professionals",
    "Medical Technologists"
  ],
  "specialties": [
    "Cardiology",
    "Electrocardiography",
    "Arrhythmia Detection",
    "Cardiac Imaging"
  ],
  "regions_available": [
    "China",
    "United States",
    "European Union",
    "Global"
  ],
  "languages_supported": [
    "English",
    "Chinese"
  ],
  "pricing_model": "Subscription",
  "pricing_details": "Contact vendor for pricing information.",
  "license": "Commercial",
  "company_offices": [
    "China",
    "United States",
    "European Union",
    "Global"
  ],
  "company_founding": "1999",
  "deployment_model": [
    "SaaS",
    "on_prem",
    "hybrid"
  ],
  "os_platforms": [
    "Windows",
    "macOS",
    "Linux"
  ],
  "features": [
    "AI-powered ECG analysis",
    "12-lead resting ECG interpretation",
    "Ambulatory ECG analysis",
    "ECG waveform recognition",
    "ECG measurement and interpretation",
    "ECG report generation",
    "ECG data export in multiple formats",
    "ECG data storage and management",
    "ECG data security and compliance",
    "ECG data backup and recovery",
    "ECG data sharing and collaboration",
    "ECG data visualization and reporting",
    "ECG data integration with other systems",
    "ECG data analytics and insights",
    "ECG data monitoring and alerts",
    "ECG data quality assurance",
    "ECG data validation and verification",
    "ECG data audit trails",
    "ECG data access control",
    "ECG data user management"
  ],
  "optional_modules": [
    "ECG data archiving",
    "ECG data compression",
    "ECG data encryption",
    "ECG data anonymization",
    "ECG data de-identification",
    "ECG data pseudonymization",
    "ECG data masking",
    "ECG data tokenization",
    "ECG data redaction",
    "ECG data obfuscation"
  ],
  "integrations": [
    "Carewell ECG devices",
    "HL7 aECG",
    "DICOM ECG",
    "SCP ECG",
    "MFER ECG"
  ],
  "data_standards": [
    "HL7 aECG",
    "DICOM ECG",
    "SCP ECG",
    "MFER ECG"
  ],
  "api_available": "yes",
  "system_requirements": "Windows 7 or above; macOS 10.13 or above",
  "compliance": [
    "HIPAA",
    "GDPR",
    "HITECH",
    "SOC 2",
    "ISO 27001"
  ],
  "certifications": [
    "FDA 510(k) clearance",
    "CE certification"
  ],
  "security_features": [
    "Encryption",
    "RBAC",
    "SSO/SAML",
    "Audit logs",
    "2FA"
  ],
  "privacy_features": [
    "BAA available",
    "Consent management",
    "Anonymization",
    "Data minimization"
  ],
  "data_residency": "US/EU regions",
  "customers": [],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [],
  "training_options": [],
  "release_year": "",
  "integration_partners": [],
  "id": "SW0515",
  "slug": "ai-ecg-platform",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/ai-ecg-platform.json"
  }
}