Stress vs Distress

We often see the term "stress" used to describe negative situations, which has lead us to believe that all stress is bad. This is not necessarily true.

Stress is simply our body's response to tough demands. Good stress is only short-term, it motivates us, and can improve our performance. In contrast, bad stress (ie, distress) causes the feeling of anxiety or concern, can be either short- or long-term, and ultimately hinders our performance.

The Yerkes-Dodson Law.

The Yerkes-Dodson Law.

Equine Distress

Equine distress can stem from many factors, including, but not limited to injury, trauma, illness, fear, and boredom. While there are many common distress conditions (eg, colic, being cast, foaling), colic is of the greatest concern because it’s the leading natural cause of death in horses, second only to old age. Horses are prey animals who instinctually suppress expression of pain and distress as a mechanism to avoid predators. Coupled with the fact that horses are often unsupervised overnight or in remote locations, identification of equine distress is challenging.

Historically, assessment of distress in horses has been a labor-intense task that requires the piecing together of different clinical variables with a strong reliance upon subjective and intermittent behavioral observation. While veterinarians and others routinely rely on scoring systems in clinical practice, including several for pain, each have their shortcomings and there is no gold standard today.

Equine Distress Index (EDI®)

Because equine distress is difficult to assess and understanding a horse’s general well-being is subjective, there is the Equine Distress Index (EDI®).

The EDI® is a new and objective 10-point scale that makes understanding your horse’s well-being easy. Your horse’s EDI® score (0=no distress, 10=high distress) is a composite value derived from multiple parameters, including biometric data, behavioral inputs, environmental conditions, and pre-existing risk factors, using a proprietary Fuzzy Inference System.

  • Biometric data: Vital signs
  • Behavioral inputs: Activity, motion, posture
  • Environmental conditions: Location, time of day, etc
  • Pre-existing risk factors: Medical history, habits, etc

Each EDI® score can be statistically parameterized by the following, and represented as a probability distribution function or Gaussian curve, where the peak is set to be the distress factor.

  • Distress factor - f
  • Confidence factor - c
  • Weight factor - w
  • Input range - x
  • Gaussian output - p(x)

The EDI® is a proprietary feature of NIGHTWATCH® that removes all the guesswork, improves operational efficiency, and results in superior clinical outcomes vs other scoring systems.

While sensors embedded within each NIGHTWATCH® smart device continuously acquire and analyze real-time data on your horse’s biometrics and behaviors, advanced logic (ie, artificial intelligence/machine learning) computes an EDI® score relative to their unique and normal parameters. When a user-defined threshold on the EDI® scale is reached, caretakers are alerted via SMS/text, phone call, and/or email simultaneously or in a cascading fashion until the notification is acknowledged and the animal is attended to.

NIGHTWATCH® iOS App with Proprietary EDI®.

NIGHTWATCH® iOS App with Proprietary EDI®.

REMEMBER, THE EDI® SCORE IS...

  • Relative: Score is relative to your horse’s unique and normal parameters and vs historical data from other horses on an absolute scale
  • Real-time: Score is always available as a result of continuous and real-time data analysis vs intermittent data acquisition
  • Objective: Score is based upon objective data gathered from sensor technology vs subjective assessment by various people
  • Multivariate: Score is derived from multiple inputs at the same time for comprehensive assessment vs univariate analysis of one input at a time