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ORIGINAL RESEARCH article
Front. Vet. Sci.
Sec. Veterinary Neurology and Neurosurgery
Volume 12 - 2025 | doi: 10.3389/fvets.2025.1558274
This article is part of the Research Topic Epilepsy in Veterinary Science - Volume II View all 6 articles
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The seizure detection system (SDS) is a wearable device developed by us to detect generalized tonicclonic 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 GTCSs wasere 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 seconds. This study demonstrates that the app-based SDS is effective for detecting GTCSs in hospitalized dogs in clinical settings.
Keywords: dog, Epilepsy, Seizure detection, accelerometer, Wearable Device
Received: 10 Jan 2025; Accepted: 24 Mar 2025.
Copyright: © 2025 Hirashima, Saito, Hasegawa, Asada, Kitagawa, Ito, Kanazono and Fujiwara. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Miyoko Saito, Azabu University, Sagamihara, 252-5201, Kanagawa, Japan
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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