Evidence map›Paper›PMID 40365129›Full record

ArticleFrontiers in veterinary science2025

In-hospital evaluation of an app-based seizure detection system in dogs: timely detection of generalized tonic-clonic seizures.

Junya Hirashima, Miyoko Saito, Daisuke Hasegawa, Rikako Asada, Masato Kitagawa, Daisuke Ito, Shinichi Kanazono, Koichi Fujiwara

Abstract read
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Article in Frontiers in veterinary science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

8 authors.

Junya HirashimaLaboratory of Small Animal Surgery (Neurology), School of Veterinary Medicine, Azabu University, Sagamihara, Japan.
Miyoko SaitoLaboratory of Small Animal Surgery (Neurology), School of Veterinary Medicine, Azabu University, Sagamihara, Japan.
Daisuke HasegawaLaboratory of Veterinary Radiology, Nippon Veterinary and Life Science University, Musashino, Japan.
Rikako AsadaLaboratory of Veterinary Radiology, Nippon Veterinary and Life Science University, Musashino, Japan.
Masato KitagawaLaboratory of Veterinary Neurology, School of Veterinary Medicine, Nihon University, Fujisawa, Japan.
Daisuke ItoLaboratory of Veterinary Neurology, School of Veterinary Medicine, Nihon University, Fujisawa, Japan.
Shinichi KanazonoNeurology and Neurosurgery Service, Veterinary Specialists and Emergency Center, Kawaguchi, Japan.
Koichi FujiwaraDepartment of Material Process Engineering, Nagoya University, Nagoya, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The seizure detection system (SDS) is a wearable device developed by us to detect generalized tonic-clonic seizures (GTCSs) in dogs with epilepsy. In our previous study, a feasibility test was conducted for the SDS, which demonstrated its ability to correctly identify three GTCSs in one dog. To enhance user accessibility and facilitate real-time monitoring of epileptic seizures in dogs, we integrated the system into a smartphone application. This study aimed to evaluate the performance of the app-based SDS in a clinical setting involving a larger number of dogs. Initially, the app-based SDS was tested on a laboratory dog with no history of seizures, and a drug-induced GTCS was accurately detected. Subsequently, an in-hospital evaluation was conducted. A total of 12 dogs were included, comprising 10 dogs with epilepsy, either hospitalized or temporarily housed at participating veterinary hospitals, and two laboratory dogs with epilepsy. In total, 34 GTCSs occurred in four of the 12 dogs, and the app-based SDS correctly detected 25 of the 34 GTCSs. Including the preliminary test results, the overall sensitivity of the app-based SDS was 74.3% (26 out of 35 GTCSs). Two false positives were observed in both in one dog. The false-positive rate and positive predictive value of the app-based SDS for detection of GTCS were 0.018 events/day and 92.6%, respectively. The median detection latency from the onset of a GTCS was 11 s. This study demonstrates that the app-based SDS is effective for detecting GTCSs in hospitalized dogs in clinical settings.

Indexed as

accelerometerdogepilepsyseizure detectionwearable device

Identifiers

PMID40365129
PMCPMC12069445

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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.