Evidence map›Paper›PMID 41755110›Full record

ArticleSensors (Basel, Switzerland)2026

Quantifying Sheep Behaviour Using a 3D Accelerometer: A Proof-of-Concept for Objective Stress Assessment.

Stephanie Janet Schneidewind, Mohamed Rabih Al Merestani, Sven Schmidt, Wolfgang Waser, Tanja Schmidt, Mechthild Wiegard, Uwe Schmidt, Christa Thoene-Reineke

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Stephanie Janet SchneidewindInstitute of Animal Welfare, Animal Behaviour and Laboratory Animal Science, School of Veterinary Medicine, Freie Universität Berlin, 14163 Berlin, Germany.
Mohamed Rabih Al MerestaniDepartment of Biosystems Engineering, Albrecht Daniel Thaer Institute of Agricultural and Horticultural Sciences, Faculty of Life Sciences, Humboldt University of Berlin, 10117 Berlin, Germany.
Sven SchmidtBITSz Electronics GmbH, 08060 Zwickau, Germany.
Wolfgang WaserFrankenfoerder Research Society mbH, 14943 Luckenwalde, Germany.
Tanja SchmidtInstitute of Animal Welfare, Animal Behaviour and Laboratory Animal Science, School of Veterinary Medicine, Freie Universität Berlin, 14163 Berlin, Germany.
Mechthild WiegardInstitute of Animal Welfare, Animal Behaviour and Laboratory Animal Science, School of Veterinary Medicine, Freie Universität Berlin, 14163 Berlin, Germany.
Uwe SchmidtDepartment of Biosystems Engineering, Albrecht Daniel Thaer Institute of Agricultural and Horticultural Sciences, Faculty of Life Sciences, Humboldt University of Berlin, 10117 Berlin, Germany.
Christa Thoene-ReinekeInstitute of Animal Welfare, Animal Behaviour and Laboratory Animal Science, School of Veterinary Medicine, Freie Universität Berlin, 14163 Berlin, Germany.ORCID 0000-0003-0782-2755

Funding

Federal Ministry for Economic Affairs and Climate Action (BMWK) FKZ 16KN077302
6 · The paper itself

Abstract

Continuous digital monitoring of sheep behaviour shows potential for early stress detection. In Part 1 of this study, a novel accelerometer-based behaviour-recognition system using a nRF52832 microcontroller with Bluetooth wireless data transfer was developed and validated. A dedicated algorithm was developed to focus on the automatic detection of rumination, which also enables the classification of resting/idling and eating. The system achieved accuracies of 0.87 (rumination), 0.90 (resting/idling), and 0.86 (eating). Specificities were 0.87, 0.95, and 0.94; sensitivities 0.89, 0.80, and 0.60; and precisions 0.79, 0.88, and 0.73, respectively. In Part 2, four sheep were continuously monitored for 24 h to establish baseline behavioural durations. Animals were then relocated in pairs to an unfamiliar enclosure for a further 24 h observation period. Relocation resulted in a significant reduction in rumination time (-45.6%,

Indexed as

AccelerometryBehavior, AnimalStress, PhysiologicalAlgorithmsAnimalsMonitoring, PhysiologicSheepbehaviour classification algorithmsruminationsensorsheep behaviour (Ovis aries)stress detectiontriaxial accelerometerwelfare monitoring

Identifiers

PMID41755110
PMCPMC12944225

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.