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

Dit citeren

@article{47a14ee7e28c4843a72453803ff02bce,

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

abstract = "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.",

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,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.

AB - 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.

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

Dit citeren