Advanced Cardiopulmonary Health Monitoring

AI-powered health monitoring that detects anomalies in real-time. Protect your patients with continuous insights and proactive alerts.

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Real-time Monitoring

Offline AI

Cloud Analytics

Medical Reports

30%
Reduction in Emergencies
24/7
Continuous Monitoring
92%
Detection Accuracy
<50ms
AI Response Time

Business Context & Market Potential

Our solution addresses critical challenges in healthcare monitoring across multiple sectors, delivering measurable ROI through advanced AI technologies.

Application Areas

Telemedicine, Home Health Monitoring, Elder Care, Chronic Disease Management, Fitness & Wellness Apps

Problems

Undetected arrhythmias, hypoxia, respiratory distress; delayed intervention; limited patient visibility outside clinical settings.

Traditional Solutions

Clinic visits, Holter monitors with offline analysis; pulse oximeters requiring manual logging; no continuous integration.

Need for Novel System

Continuous, automated, integrated cardiopulmonary monitoring with real-time alerts and insights for proactive care.

Our Solution

Wearable wristphone + browser-based AI models for offline anomaly detection; cloud-hosted AI for advanced analysis.

Unique Selling Proposition

Offline-capable AI in-browser; seamless transition to cloud; multi-parameter fusion in one device.

Benefits

Early detection of critical events; reduced hospital readmissions; improved patient engagement; data-driven care plans.

Target Customers

Hospitals, Telehealth Platforms, Elder Care Facilities, Insurance Providers, Fitness & Wellness Firms.

Customer Impact

Up to 30% reduction in emergency events; enhanced patient satisfaction and care outcomes.

Business Potential

  • India: ₹2,000 crore digital health monitoring market by 2027
  • Global: $8B+ remote patient monitoring market by 2028

Key Features

Comprehensive health monitoring capabilities powered by AI to transform patient care.

Wearable Device

Smart Wristphone

Wearable device with optical HR, SpO₂, accelerometer, and gyroscope for continuous monitoring.

Edge AI

Offline AI Detection

Browser-based TensorFlow.js models for arrhythmia and fall detection without internet connection.

Cloud AI

Cloud AI Analytics

Advanced cloud analysis for deeper insights and NLP summaries via OpenAI integration.

Unified Dashboard

Unified Dashboard

Single platform for patients, caregivers, and clinicians with real-time updates and alerts.

Medical Reports

Automated Reporting

AI-generated health summaries and reports for clinicians and patients.

Real-time Alerts

Instant notifications for critical events to patients, caregivers, and medical professionals.

Frequently Asked Questions

Get answers to common questions about our platform.

Our solution uses TensorFlow.js models that run directly in the browser. These lightweight AI models can detect critical health anomalies without requiring an internet connection, ensuring continuous monitoring in all environments.

Absolutely. We implement HIPAA-compliant security measures including end-to-end encryption, OAuth2 authentication, and strict access controls. Patient data is protected at all stages of processing and storage.

Yes, our platform supports integration with major EHR systems through HL7 and FHIR standards. We can seamlessly connect with your existing healthcare infrastructure.

Our AI models achieve 92% accuracy in detecting health anomalies, with a false positive rate under 5%. Accuracy improves continuously as the system learns from more data.

Get Started Today

Ready to transform patient care? Contact our team for a personalized consultation.

Why Choose CardioPulse?

  • Proven Technology: Deployed in healthcare facilities nationwide
  • Medical Expertise: Developed with healthcare professionals
  • Custom Solutions: Tailored to your specific clinical needs
  • 24/7 Support: Dedicated healthcare technology specialists
  • ROI Focused: Reduces costs while improving patient outcomes

Contact Information

research@intuitiverobotics.in

+91- 9433043040

565, Central Road,
Sonarpur, WB 700150