Inertial sensor-based system for lameness detection in trotting dogs with induced lameness.

Area of Science:

• Veterinary biomechanics
• Canine locomotion analysis
• Wearable sensor technology

Background:

• Visual lameness assessment in dogs has low inter-rater agreement.
• Objective methods are needed for accurate canine lameness detection.
• Distinguishing between supporting and swinging limb lameness is crucial.

Purpose of the Study:

• To evaluate an inertial sensor-based system for detecting and quantifying induced lameness in dogs.
• To measure vertical head and pelvic movement symmetry to assess lameness.
• To differentiate between supporting and swinging limb lameness using sensor data.

Main Methods:

• Ten clinically sound dogs were instrumented with inertial measurement units (IMUs) on the head, pelvis, and right forelimb.
• Dogs trotted on a treadmill before and after induced forelimb and hindlimb lameness (supporting and swinging).
• Vertical head and pelvic movement symmetry variables (HDmin, HDmax, PDmin, PDmax) were calculated per stride.

Main Results:

• Supporting limb lameness significantly altered HDmin (forelimb) and PDmin (hindlimb).
• Swinging limb lameness significantly altered HDmax (forelimb) and PDmax (hindlimb).
• Compensatory movements in other limbs were also detected.

Conclusions:

• Inertial sensor systems can objectively detect and quantify induced moderate lameness in dogs.
• The system can differentiate between supporting and swinging limb lameness during treadmill locomotion.
• Further research is needed for clinical lameness evaluation and overground locomotion.