Cutting-Edge Medical Technology

Seven advanced sensors powered by AI algorithms for comprehensive health monitoring

Revolutionary Sensor Array

Medical-grade sensors working in perfect harmony

ECG Sensor Module

Clinical-grade single-lead electrocardiogram with 500 Hz sampling rate and 24-bit ADC resolution.

  • Sampling Rate: 500 Hz
  • Resolution: 24-bit ADC
  • Accuracy: ±1 BPM
  • Range: 30-200 BPM
  • Standards: FDA Class II

PPG Sensor Array

Dual-wavelength photoplethysmography with advanced signal processing for oxygen saturation and blood flow analysis.

  • Wavelengths: 660nm, 940nm
  • SpO2 Range: 70-100%
  • Accuracy: ±2%
  • Sampling: 100 Hz
  • Perfusion Index: 0.02-20%

GSR Sensor

High-precision galvanic skin response measurement for real-time stress and emotional state detection.

  • Range: 0.01-100 µS
  • Resolution: 0.01 µS
  • Response Time: <1 second
  • Electrodes: Medical-grade Ag/AgCl
  • Drift: <0.1% per hour

AI Processing Unit

Dedicated neural processing unit for real-time health analytics and pattern recognition.

  • Processor: ARM Cortex-M7
  • AI Accelerator: Neural Engine
  • Memory: 2MB Flash, 512KB RAM
  • Models: 15+ trained algorithms
  • Latency: <100ms inference

Connectivity Module

Multi-protocol wireless communication for seamless data synchronization and real-time monitoring.

  • Bluetooth: 5.2 LE
  • Wi-Fi: 802.11 b/g/n
  • Range: 100m (Bluetooth), 300m (Wi-Fi)
  • Security: AES-256 encryption
  • Battery Impact: <5% per day

Power Management

Advanced power optimization with wireless charging and ultra-low power consumption design.

  • Battery: 300mAh Li-Po
  • Life: 7 days continuous
  • Charging: Qi wireless + USB-C
  • Fast Charge: 0-80% in 45 minutes
  • Sleep Mode: <10µA consumption

AI-Powered Health Analytics

Machine learning algorithms trained on millions of health data points

Cardiac Rhythm Analysis

Advanced deep learning models for real-time ECG interpretation and arrhythmia detection.

99.2%
AFib Detection Accuracy
15
Arrhythmia Types
50ms
Detection Latency
24/7
Continuous Monitoring
AI Processing

Nadi Vigyan AI Engine

Revolutionary fusion of 5000-year-old Ayurvedic pulse diagnosis with modern machine learning.

Training Dataset

Our AI model was trained on:

  • 50,000+ pulse readings from certified Ayurvedic practitioners
  • Traditional texts and diagnostic patterns
  • Cross-validation with modern medical assessments
  • Continuous learning from user feedback
95.8%
Vata Accuracy
96.2%
Pitta Accuracy
94.9%
Kapha Accuracy
Nadi Vigyan AI

Technical Specifications

Detailed hardware and software specifications

Hardware Specifications
Dimensions: 45 × 38 × 12 mm
Weight: 32 grams
Display: 1.4" AMOLED, 454×454 px
Water Resistance: IP68 (50m swimming)
Operating Temp: -10°C to 60°C
Storage: 32GB internal memory
Materials: Medical-grade titanium, silicone
Software Specifications
OS: Minimoc OS (Linux-based)
App Ecosystem: iOS, Android, Web
Cloud Sync: Real-time, encrypted
API: RESTful, GraphQL
Updates: OTA (Over-the-Air)
Languages: 15+ including Hindi, Sanskrit
Compliance: HIPAA, GDPR, FDA

Security & Privacy

Your health data is protected with military-grade security

End-to-End Encryption

AES-256 encryption for all data transmission and storage

HIPAA Compliant

Full compliance with healthcare privacy regulations

Biometric Security

Fingerprint and heart rhythm-based authentication

Secure Cloud

ISO 27001 certified cloud infrastructure

Experience the Technology Revolution

Join the future of personalized healthcare monitoring

Request Technical Demo Explore Features