Beyond the Waveform.

Advanced 1D signal visualization platform for medical and acoustic data analysis

Signal Categories

ECG Analysis

Multi-electrode display, sliding mode, XOR comparison, and polar graph visualization.

4 Modes
EEG Classification

AI-powered detection of Alzheimer's, Parkinson's, and other neurological conditions.

ML AI
Signal Processing

Advanced filtering, noise reduction, and feature extraction algorithms.

Real-time
Doppler Shift

Real-time Doppler effect analysis with frequency and velocity calculations.

Physics
Drone Detection

Identify drone signatures through acoustic analysis and pattern recognition.

Security
Submarine Acoustics

Analyze underwater acoustic signals and distinguish from marine life.

Sonar
Radar Imaging

Synthetic aperture radar (SAR) and high-resolution mapping.

Object Detection

Real-time tracking of aircraft, vehicles, and drones with radar signatures.

Radar Signal Processing

Noise reduction, Doppler filtering, and range-Doppler maps.

Time-Frequency Analysis

Spectrograms, wavelets, and Fourier transform-based methods.

Mode Comparison

XOR-based overlay and sliding view for direct comparison of signals.

Polar Visualization

Circular and radial signal representation for frequency domain insights.

How It Works

  • Upload or Stream Your Signals

    Import medical ECG/EEG data, acoustic recordings, or radar signals. Connect to real-time data streams for live analysis and monitoring.

  • Choose Analysis Mode

    Select from multiple visualization modes: sliding window, XOR comparison, polar graphs, or recurrence plots tailored to your specific analysis needs.

  • AI-Powered Classification

    Leverage machine learning and deep learning models for automatic abnormality detection in medical signals or pattern recognition in acoustic and radar data.

  • Export & Share Results

    Generate comprehensive reports, export processed data, and share findings with colleagues or integrate with other analysis tools.

Ready to analyze your signals? Get Started Now