Detection of lameness and determination of the affected forelimb in horses by use of continuous wavelet transformation and neural network classification of kinematic data

American Journal of Veterinary Research

Volumn 64, Issue 11, 2003, Pages 1376-1381

  Keegan, Kevin G ^a   Arafat, Samer ^b   Skubic, Marjorie ^b   Wilson, David A ^a   Kramer, Joanne ^a  

^a UNIVERSITY OF MISSOURI   (United States)

^b Department of Electrical Engineering and Computer Science   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ANIMAL LAMENESS; ARTICLE; ARTIFICIAL NEURAL NETWORK; BODY POSITION; BODY REGIONS; CALCULATION; CONTROLLED STUDY; FORELIMB; GAIT; HEAD MOVEMENT; HORSE DISEASE; KINEMATICS; LIMB DISEASE; LIMB MOVEMENT; NERVE BLOCK; NONHUMAN; WAVEFORM;

ANIMALS; BIOMECHANICS; HORSE DISEASES; HORSES; LAMENESS, ANIMAL; NERVE BLOCK; NERVE NET;

ANIMALIA; EQUIDAE; EQUUS CABALLUS;

EID: 0242523107     PISSN: 00029645     EISSN: None     Source Type: Journal    
DOI: 10.2460/ajvr.2003.64.1376     Document Type: Article

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