Correlation of observed nocturnal pruritus and actigraphy in dogs

Plant, Jon D.

doi:10.1136/vr.162.19.624

Cited by 10 publications

(19 citation statements)

References 6 publications

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“…Thus far, the evaluation of treatment effects in HDM‐sensitized laboratory dogs has focused primarily on changes in lesion scores (CADESI scores) and pruritus observed over short periods of time, therefore missing the treatment effect on established pruritus over time . Only a few studies have described the use of activity monitors to assess pruritus in dogs …”

Section: Discussionmentioning

confidence: 99%

“…[9][10][11] Only a few studies have described the use of activity monitors to assess pruritus in dogs. 7,8 We attached activity monitors to the collars of the dogs 1 week before and during HDM challenge studies. We perceived that during the day the measured activity was strongly influenced by the schedule of feeding, visiting of personnel and exercise provided in the outdoor runs.…”

Section: Discussionmentioning

confidence: 99%

“…In order to prove that increased activity was caused by pruritus, a report described the correlation of activity measurements and nocturnal behaviour in kennelled dogs. 8 Those dogs were not specifically selected for the presence of pruritic behaviour. In that study, head shaking of the dogs was noted as a potentially confounding factor.…”

Section: Discussionmentioning

confidence: 99%

“…One study described use of activity monitors to evaluate itch in dogs with cAD in their homes and demonstrated that night‐time activity of dogs suffering from cAD is increased compared with that of healthy dogs . Another study showed correlation of accelerometer‐measured motion and observed nocturnal pruritus in 15 kennelled dogs …”

Section: Introductionmentioning

confidence: 99%

“…7 Another study showed correlation of accelerometer-measured motion and observed nocturnal pruritus in 15 kennelled dogs. 8 We have a model of house dust mite (HDM)-allergic dogs following a standardized sensitization procedure. Once successfully sensitized, these dogs can be chal-lenged with HDM and they develop pruritus and skin lesions comparable to dogs suffering from naturally occurring cAD and to other HDM-allergic dog models that have been published.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Use of activity monitors for assessment of pruritus in an acute model of canine atopic dermatitis

Schwab-Richards

Prost

Steffan

et al. 2014

Veterinary Dermatology

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Use of activity monitors for assessment of pruritus in an acute model of canine atopic dermatitis

Schwab-Richards

Prost

Steffan

et al. 2014

Veterinary Dermatology

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A comparison of uniaxial and triaxial accelerometers for the assessment of physical activity in dogs

Cheung

Starling

McGreevy

2014

Journal of Veterinary Behavior

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Deep learning classification of canine behavior using a single collar-mounted accelerometer: Real-world validation

Chambers¹,

Yoder²,

Carson³

et al. 2020

Preprint

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Collar-mounted canine activity monitors can use accelerometer data to estimate dog activity levels, step counts, and distance traveled. With recent advances in machine learning and embedded computing, much more nuanced and accurate behavior classification has become possible, giving these affordable consumer devices the potential to improve the efficiency and effectiveness of pet healthcare. Here we describe a novel deep learning algorithm that classifies dog behavior at sub-second resolution using commercial pet activity monitors. We built machine learning training databases from over 5,000 videos of over 2,500 dogs and ran the algorithms in production on over 11 million days of device data. We then surveyed project participants representing 10,550 dogs, they provided us 163,110 event responses to validate real-world detection of eating and drinking behavior. The resultant algorithm displayed a sensitivity and specificity for detecting drinking behavior (0.949 and 0.999, respectively) and eating behavior (0.988, 0.983). We also demonstrated detection of licking, petting, rubbing, scratching, and sniffing. We show that the devices’ position on the collar has no measurable impact on performance. In production, users reported a true positive rate of 95.3% for eating (among 1,514 users), and of 94.9% (among 1,491 users) for drinking. The study demonstrates the accurate detection of important health-related canine behaviors using a collar-mounted accelerometer. We trained and validated our algorithms on a large and realistic training dataset, and we assessed and confirmed accuracy in production via user validation.

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Correlation of observed nocturnal pruritus and actigraphy in dogs

Cited by 10 publications

References 6 publications

Use of activity monitors for assessment of pruritus in an acute model of canine atopic dermatitis

Use of activity monitors for assessment of pruritus in an acute model of canine atopic dermatitis

A comparison of uniaxial and triaxial accelerometers for the assessment of physical activity in dogs

Deep learning classification of canine behavior using a single collar-mounted accelerometer: Real-world validation

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