1999
DOI: 10.1016/s0021-9290(99)00102-5
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Limb locomotion — speed distribution analysis as a new method for stance phase detection

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Cited by 40 publications
(47 citation statements)
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“…Algorithms C and D have poor accuracy in trot compared to A, B and E. Thus, it is notable that the maximal protraction and retraction for C and D do not correspond to hoof-on and hoof-off in trot. Peham et al (1999) do not discriminate between accuracy and precision for front limbs versus hind limbs. Our results support that it is not necessary to analyse the results separately for front limb and hind limb kinematics in walk, however, it is necessary to use different algorithms for hind limbs and front limbs during trot.…”
Section: Discussionmentioning
confidence: 74%
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“…Algorithms C and D have poor accuracy in trot compared to A, B and E. Thus, it is notable that the maximal protraction and retraction for C and D do not correspond to hoof-on and hoof-off in trot. Peham et al (1999) do not discriminate between accuracy and precision for front limbs versus hind limbs. Our results support that it is not necessary to analyse the results separately for front limb and hind limb kinematics in walk, however, it is necessary to use different algorithms for hind limbs and front limbs during trot.…”
Section: Discussionmentioning
confidence: 74%
“…Hoof-on and hoof-off were extracted from motion capture using the following algorithms A-E (for further details, see supplementary table S1): Algorithm A (Peham et al, 1999) detects the beginning and ending of stance based on horizontal velocity of the distal dorsal hoof. The algorithm defines stance as the mode of fore-aft hoof velocity during each stride cycle.…”
Section: Data Processingmentioning
confidence: 99%
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