Evidence map›Paper›PMID 38684414›Full record

ArticleThe Journal of veterinary medical science2024

Beacon-based sleep-wake monitoring in dogs.

Takefumi Kikusui, Mizuho Yagisawa, Kahori Koyama, Yuma Shishikura, Kana Miyamoto, Koichi Fujiwara, Kazuhiko Kume, Kensaku Nomoto, Miho Nagasawa

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of veterinary medical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Takefumi KikusuiLaboratory of Human-Animal Interaction and Reciprocity, School of Veterinary Medicine, Azabu University, Kanagawa, Japan.
Mizuho YagisawaLaboratory of Human-Animal Interaction and Reciprocity, School of Veterinary Medicine, Azabu University, Kanagawa, Japan.
Kahori KoyamaLaboratory of Human-Animal Interaction and Reciprocity, School of Veterinary Medicine, Azabu University, Kanagawa, Japan.
Yuma ShishikuraLaboratory of Human-Animal Interaction and Reciprocity, School of Veterinary Medicine, Azabu University, Kanagawa, Japan.
Kana MiyamotoLaboratory of Human-Animal Interaction and Reciprocity, School of Veterinary Medicine, Azabu University, Kanagawa, Japan.
Koichi FujiwaraDepartment of Material Process Engineering, Nagoya University, Aichi, Japan.
Kazuhiko KumeDepartment of Neuropharmacology, Graduate School of Pharmaceutical Sciences, Nagoya City University, Aichi, Japan.
Kensaku NomotoLaboratory of Human-Animal Interaction and Reciprocity, School of Veterinary Medicine, Azabu University, Kanagawa, Japan.
Miho NagasawaLaboratory of Human-Animal Interaction and Reciprocity, School of Veterinary Medicine, Azabu University, Kanagawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The sleep-wake cycle represents a crucial physiological process essential for maintaining homeostasis and promoting individual growth. In dogs, alterations in sleep patterns associated with age and dog's correlation with temperament factors, such as nervousness, have been reported, and there is an increasing demand for precise monitoring of sleep and physical activity in dogs. The present study aims to develop an analysis method for measuring sleep-wake patterns and physical activity in dogs by utilizing an accelerometer and a smartphone. By analyzing time series data collected from the accelerometer attached to the dog's collar, a comprehensive sleep and activity analysis model was constructed. This model classified the activity level into seven classes and effectively highlighted the variations in sleep-activity patterns. Two classes with lower activity levels were considered as sleep, while other five levels were regarded as wake based on the rate of occurrence. This protocol of data acquisition and analysis provides a methodology that enables accurate and extended evaluation of both sleep and physical activity in dogs.

Indexed as

AccelerometrySleepSmartphoneAnimalsDogsFemaleMaleMonitoring, PhysiologicMotor ActivityWakefulnessaccelerationactivitydogmachine learningsleep

Identifiers

PMID38684414
PMCPMC11187587

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.