Variables of gait inconsistency outperform basic gait variables in detecting mildy lame cows

Annelies Van Nuffel; Wouter Saeys; Bart Sonck; Jürgen Vangeyte; Koen Mertens; Bart De Ketelaere; Stephanie Van Weyenberg

Variables of gait inconsistency outperform basic gait variables in detecting mildy lame cows

Annelies Van Nuffel, Wouter Saeys, Bart Sonck, Jürgen Vangeyte, Koen Mertens, Bart De Ketelaere, Stephanie Van Weyenberg

Onderzoeksoutput: Bijdrage aan tijdschrift › A1: Web of Science-artikel › peer review

Uittreksel

Tosupportherdsmeninfindingthelamecowsontheirherds,severalautomatedsystems
that measurelamenessrelatedcowfeaturessuchasgaitpatterns,arebeingdeveloped.
Most ofthesesystemsareabletodistinguishbetweennon-lameandseverelylamecows.
Detecting mildlylamecowsinanearlystageoflamenesshoweverseemschallenging.
Inspiredbytheapproachusedinhumangaitresearch,newvariablesthatmeasurethe
inconsistencyinstride-to-stridevariablesweretestedusingcowgaitandwereableto
show differencesbetweenagroupofnon-lameandagroupofmildlylamecows.Inorder
to investigatetheaddedvalueoftheseinconsistencyvariablesindetectingmildlylame
cows,twonewlamenessdetectionmodelswerebuild:oneusingsolelybasicgait
variablesandasecondmodelusingbothbasicandthenewgaitinconsistencyvariables.
The secondmodelusingthegaitinconsistencyvariablesoutperformedthemodelbased
on onlybasicgaitvariablesbyfarindetectingthemildlylamecowswithasensitivityof
88% andaspecificityof87%.Theseresultssupportthesuggestionofincorporatingsuch
gait inconsistencyvariablesintolamenessdetectionmodels.Furthervalidationofthese
gait inconsistencyvariablesshouldbeinvestigatedusinglongitudinalstudieswherecows
developing lamenessandrecoveringfromitaremonitoreddaily.

Oorspronkelijke taal	Engels
Tijdschrift	Livestock Science
Volume	177
Pagina's (van-tot)	125-131
Aantal pagina’s	6
ISSN	1871-1413
Publicatiestatus	Gepubliceerd - 2015

GAITWISE: Gaitwise
Van Weyenberg, S. (Projectbegeleider), Vangeyte, J. (Projectverantwoordelijke), Van Nuffel, A. (Voormalig Projectbegeleider) & Mertens, K. (Voormalig Projectbegeleider)
1/09/05 → 31/12/17
Project: Onderzoek

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@article{47a14ee7e28c4843a72453803ff02bce,

title = "Variables of gait inconsistency outperform basic gait variables in detecting mildy lame cows",

abstract = "Tosupportherdsmeninfindingthelamecowsontheirherds,severalautomatedsystemsthat measurelamenessrelatedcowfeaturessuchasgaitpatterns,arebeingdeveloped.Most ofthesesystemsareabletodistinguishbetweennon-lameandseverelylamecows.Detecting mildlylamecowsinanearlystageoflamenesshoweverseemschallenging.Inspiredbytheapproachusedinhumangaitresearch,newvariablesthatmeasuretheinconsistencyinstride-to-stridevariablesweretestedusingcowgaitandwereabletoshow differencesbetweenagroupofnon-lameandagroupofmildlylamecows.Inorderto investigatetheaddedvalueoftheseinconsistencyvariablesindetectingmildlylamecows,twonewlamenessdetectionmodelswerebuild:oneusingsolelybasicgaitvariablesandasecondmodelusingbothbasicandthenewgaitinconsistencyvariables.The secondmodelusingthegaitinconsistencyvariablesoutperformedthemodelbasedon onlybasicgaitvariablesbyfarindetectingthemildlylamecowswithasensitivityof88% andaspecificityof87%.Theseresultssupportthesuggestionofincorporatingsuchgait inconsistencyvariablesintolamenessdetectionmodels.Furthervalidationofthesegait inconsistencyvariablesshouldbeinvestigatedusinglongitudinalstudieswherecowsdeveloping lamenessandrecoveringfromitaremonitoreddaily.",

author = "{Van Nuffel}, Annelies and Wouter Saeys and Bart Sonck and J{\"u}rgen Vangeyte and Koen Mertens and {De Ketelaere}, Bart and {Van Weyenberg}, Stephanie",

year = "2015",

language = "English",

volume = "177",

pages = "125--131",

journal = "Livestock Science",

issn = "1871-1413",

publisher = "Elsevier",

}

TY - JOUR

T1 - Variables of gait inconsistency outperform basic gait variables in detecting mildy lame cows

AU - Van Nuffel, Annelies

AU - Saeys, Wouter

AU - Sonck, Bart

AU - Vangeyte, Jürgen

AU - Mertens, Koen

AU - De Ketelaere, Bart

AU - Van Weyenberg, Stephanie

PY - 2015

Y1 - 2015

N2 - Tosupportherdsmeninfindingthelamecowsontheirherds,severalautomatedsystemsthat measurelamenessrelatedcowfeaturessuchasgaitpatterns,arebeingdeveloped.Most ofthesesystemsareabletodistinguishbetweennon-lameandseverelylamecows.Detecting mildlylamecowsinanearlystageoflamenesshoweverseemschallenging.Inspiredbytheapproachusedinhumangaitresearch,newvariablesthatmeasuretheinconsistencyinstride-to-stridevariablesweretestedusingcowgaitandwereabletoshow differencesbetweenagroupofnon-lameandagroupofmildlylamecows.Inorderto investigatetheaddedvalueoftheseinconsistencyvariablesindetectingmildlylamecows,twonewlamenessdetectionmodelswerebuild:oneusingsolelybasicgaitvariablesandasecondmodelusingbothbasicandthenewgaitinconsistencyvariables.The secondmodelusingthegaitinconsistencyvariablesoutperformedthemodelbasedon onlybasicgaitvariablesbyfarindetectingthemildlylamecowswithasensitivityof88% andaspecificityof87%.Theseresultssupportthesuggestionofincorporatingsuchgait inconsistencyvariablesintolamenessdetectionmodels.Furthervalidationofthesegait inconsistencyvariablesshouldbeinvestigatedusinglongitudinalstudieswherecowsdeveloping lamenessandrecoveringfromitaremonitoreddaily.

AB - Tosupportherdsmeninfindingthelamecowsontheirherds,severalautomatedsystemsthat measurelamenessrelatedcowfeaturessuchasgaitpatterns,arebeingdeveloped.Most ofthesesystemsareabletodistinguishbetweennon-lameandseverelylamecows.Detecting mildlylamecowsinanearlystageoflamenesshoweverseemschallenging.Inspiredbytheapproachusedinhumangaitresearch,newvariablesthatmeasuretheinconsistencyinstride-to-stridevariablesweretestedusingcowgaitandwereabletoshow differencesbetweenagroupofnon-lameandagroupofmildlylamecows.Inorderto investigatetheaddedvalueoftheseinconsistencyvariablesindetectingmildlylamecows,twonewlamenessdetectionmodelswerebuild:oneusingsolelybasicgaitvariablesandasecondmodelusingbothbasicandthenewgaitinconsistencyvariables.The secondmodelusingthegaitinconsistencyvariablesoutperformedthemodelbasedon onlybasicgaitvariablesbyfarindetectingthemildlylamecowswithasensitivityof88% andaspecificityof87%.Theseresultssupportthesuggestionofincorporatingsuchgait inconsistencyvariablesintolamenessdetectionmodels.Furthervalidationofthesegait inconsistencyvariablesshouldbeinvestigatedusinglongitudinalstudieswherecowsdeveloping lamenessandrecoveringfromitaremonitoreddaily.

M3 - A1: Web of Science-article

SN - 1871-1413

VL - 177

SP - 125

EP - 131

JO - Livestock Science

JF - Livestock Science

ER -

Variables of gait inconsistency outperform basic gait variables in detecting mildy lame cows

Uittreksel

Projecten

GAITWISE: Gaitwise

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