Description
Rogne Pied AE 8030
Rogne Pied AE 8030
Rogne Pied AE 8030 – Advanced Equine Hoof Testing and Diagnostic System
Precision Veterinary Instrument for Comprehensive Hoof Assessment
The Rogne Pied AE 8030 is a state-of-the-art diagnostic tool designed for veterinarians and farriers to perform accurate, data-driven hoof evaluations. Combining biomechanical sensors with digital analysis, this instrument provides real-time feedback on hoof balance, pressure distribution, and structural integrity—essential for preventive care, lameness diagnosis, and therapeutic farriery.
Key Features:
✔ Multi-Sensor Array – Measures hoof ground reaction forces (up to 500kg/cm² resolution) and dynamic movement patterns
✔ Digital Pressure Mapping – Generates high-resolution thermal and force diagrams to detect abnormal loading
✔ Portable Design – Lightweight (1.2kg) and wireless operation (Bluetooth 5.0) for stable or field use
✔ Tactile Response Testing – Integrated percussion and vibration analysis for detecting sub-solar abscesses or bone changes
✔ Cloud-Based Analytics – Stores and compares hoof data over time for long-term monitoring
Applications:
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Lameness Diagnosis – Identifies asymmetric weight distribution and pain localization
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Pre-Shoeing Assessment – Evaluates hoof balance and trimming requirements
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Rehabilitation Tracking – Monitors recovery progress in laminitis, navicular, or post-surgical cases
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Performance Optimization – Analyzes gait efficiency in sport horses
Technical Specifications:
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Sensors: 256-point pressure grid (0.5mm accuracy)
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Battery Life: 8+ hours continuous use
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Data Output: PDF/CSV/DICOM formats
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Compatibility: iOS/Android/Windows via HoofCare Pro™ software
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Durability: IP67 waterproof and shockproof
Why Choose the AE 8030?
✅ Objective Hoof Assessment – Replaces guesswork with quantitative data
✅ Early Problem Detection – Identifies subclinical issues before lameness occurs
✅ Ergonomic & Portable – Designed for field and clinic use
✅ Veterinary-Grade Accuracy – Clinically validated for diagnostic reliability






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