Biosignatures, Sensors and AI

Vibrome® biosignatures are measurable patterns in physiological sounds, vibrations, flow and movement. When collected consistently, these patterns may help characterize an animal’s condition over time.

The website describes high-sensitivity sensing from infrasound to ultrasound. The actual frequency range and sensitivity depend on the sensor, placement, environment and system configuration.

Mechanobiology data describes information related to mechanical forces, motion and physical responses in living systems. Equine Vibrome® converts selected vibration and movement signals into data for analysis.

Passive sensors observe available signals without introducing ionizing radiation or requiring the animal to perform a special response. Product-specific energy use and operating requirements should still be confirmed.

Physics-informed AI incorporates relevant physical principles into data analysis. The website describes combining this with neurosymbolic methods to identify patterns and organize biosignature information.

A multi-system vibration map is a structured representation of selected signal patterns across body systems or scan locations. It supports comparison and visualization but is not a diagnosis by itself.

Anomaly detection identifies a measurement or pattern that differs from an expected range or an animal’s established baseline. An anomaly requires review and may reflect physiology, environment, motion or data-quality issues.

An early warning is a system-generated indication that a pattern may need attention. It is not confirmation of disease and should trigger the response process defined by the owner, trainer and veterinary team.

Animal movement, sensor placement, coat condition, environmental noise, equipment fit, hardware condition and operator technique can affect signal quality. Quality checks should be completed before interpretation.

A baseline helps users compare later measurements with the animal’s usual patterns. It should be collected under consistent conditions and updated when health, training, age or environment changes.