Evaluation of a collar‐mounted accelerometer for detecting seizure activity in dogs

Muñana, Karen R.; Nettifee, Julie A.; Griffith, Emily H.; Early, Peter J; Yoder, Nathanael C.

doi:10.1111/jvim.15760

Cited by 14 publications

(15 citation statements)

References 34 publications

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“…A recent study using an accelerometer on a collar for detecting seizures in dogs revealed that generalized seizures could be detected with an accelerometer ( 33 ), which is consistent with our results. However, the overall sensitivity of identifying generalized seizures in this previous research was ~20%.…”

Section: Discussionsupporting

confidence: 92%

Detection of Generalized Tonic–Clonic Seizures in Dogs With a Seizure Detection System Established Using Acceleration Data and the Mahalanobis Distance: A Preliminary Study

Hirashima

Saito

et al. 2022

Front. Vet. Sci.

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Caregivers of dogs with epilepsy experience severe stress due to unpredictable seizures. Hence, they feel the need for a better management strategy. A seizure detection system (SDS), which can identify seizures and provide notifications to caregivers immediately, is required to address this issue. The current study aimed to establish a wearable automatic SDS using acceleration data and the Mahalanobis distance and to preliminarily investigate its feasibility among dogs. A generalized tonic–clonic seizure (GTCS) was targeted because it is the most common type of seizure and can have serious consequences (i.e., status epilepticus). This study comprised three phases. First, the reference datasets of epileptic and non-epileptic activities were established using acceleration data of GTCSs in 3 dogs and daily activities in 27 dogs. Second, the GTCS-detecting algorithm was created using the reference datasets and was validated using other acceleration data of GTCSs in 4 epileptic dogs and daily activities in 27 dogs. Third, a feasibility test of the SDS prototype was performed in three dogs with epilepsy. The algorithm was effective in identifying all acceleration data of GTCSs as seizures and all acceleration data of daily activities as non-seizure activities. Dogs with epilepsy were monitored with the prototype for 48–72 h, and three GTCSs were identified. The prototype detected all GTCSs accurately. A false positive finding was not obtained unless the accelerometer was displaced. Hence, a method that can detect epileptic seizures, particularly GTCSs, was established. Nevertheless, further large-scale studies must be conducted before the method can be commercialized.

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Section: Discussionsupporting

confidence: 92%

Detection of Generalized Tonic–Clonic Seizures in Dogs With a Seizure Detection System Established Using Acceleration Data and the Mahalanobis Distance: A Preliminary Study

Hirashima

Saito

et al. 2022

Front. Vet. Sci.

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“…These devices not only measure physical activity in healthy dogs with reasonable accuracy (Chan et al 2005) but have been used to assess response to treatment in pruritic and osteoarthritic dogs (Brown et al 2010, Wernimont et al 2018. In epileptic dogs receiving AED therapy, CAMD has been used to measure baseline activity level (Barry et al 2021) and has been evaluated for use as a method to detect seizure activity (Muñana et al 2020). Our study is the first to use this device to objectively monitor activity changes in epileptic dogs in response to a prescribed activity treatment.…”

Section: Discussionmentioning

confidence: 99%

Effect of an intervention of exercise on sleep and seizure frequency in idiopathic epileptic dogs

Grady

Cameron

Kent

et al. 2022

J of Small Animal Practice

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Objective The goal of this study was to compare sleep and seizure frequency between epileptic dogs prescribed a 20% activity increase and epileptic dogs not prescribed an activity increase. Methods Sixty‐nine dogs receiving anti‐epileptic drug therapy were enrolled in a 6‐month prospective, randomised, placebo‐controlled clinical trial with an intention‐to‐treat analysis. A canine activity monitoring device was used to measure activity levels and sleep scores. Results Using an intention‐to‐treat analysis, the treatment group had an average of 0.381 more seizures per month (95% CI: 0.09 to 0.68) compared with the control group, although the difference in seizure days per month was not statistically significant. In a subgroup analysis of dogs whose activity increased by at least 10%, partial compliers had 0.719 more seizures per month (95% CI: 0.22 to 1.22) and 0.581 seizure days per month (95% CI: 0.001 to 1.16) compared with the control group. Sleep scores increased by 1.2% in the treatment compared with the control group (95% CI: 0.2 to 2.3%). Conclusions Seizure frequency and sleep score increased slightly, but significantly, in dogs with idiopathic epilepsy prescribed an increase in activity, compared with a control group.

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“…There are numerous dog health collars available right now, but none has shown to be a reliable seizure detector. In a study by Munana et al ( 52 ) on a collar-mounted accelerometer in DWE, generalized seizures in dogs could be detected, but the overall sensitivity was low. In another study on a wearable automatic seizure detection system using acceleration data and the Mahalanobis distance in DWE with generalized tonic-clonic seizures (GTCS), the GTCS-detecting algorithm created for this study was effective in identifying all acceleration data of GTCSs as seizures and all acceleration data of daily activities as non-seizure activities ( 53 ).…”

Section: Subscalp Devices For Long-term Eeg Recordingsmentioning

confidence: 95%

Novel subscalp and intracranial devices to wirelessly record and analyze continuous EEG in unsedated, behaving dogs in their natural environments: A new paradigm in canine epilepsy research

Löscher

Worrell

2022

Front. Vet. Sci.

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Epilepsy is characterized by unprovoked, recurrent seizures and is a common neurologic disorder in dogs and humans. Roughly 1/3 of canines and humans with epilepsy prove to be drug-resistant and continue to have sporadic seizures despite taking daily anti-seizure medications. The optimization of pharmacologic therapy is often limited by inaccurate seizure diaries and medication side effects. Electroencephalography (EEG) has long been a cornerstone of diagnosis and classification in human epilepsy, but because of several technical challenges has played a smaller clinical role in canine epilepsy. The interictal (between seizures) and ictal (seizure) EEG recorded from the epileptic mammalian brain shows characteristic electrophysiologic biomarkers that are very useful for clinical management. A fundamental engineering gap for both humans and canines with epilepsy has been the challenge of obtaining continuous long-term EEG in the patients' natural environment. We are now on the cusp of a revolution where continuous long-term EEG from behaving canines and humans will be available to guide clinicians in the diagnosis and optimal treatment of their patients. Here we review some of the devices that have recently emerged for obtaining long-term EEG in ambulatory subjects living in their natural environments.

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Evaluation of a collar‐mounted accelerometer for detecting seizure activity in dogs

Cited by 14 publications

References 34 publications

Detection of Generalized Tonic–Clonic Seizures in Dogs With a Seizure Detection System Established Using Acceleration Data and the Mahalanobis Distance: A Preliminary Study

Detection of Generalized Tonic–Clonic Seizures in Dogs With a Seizure Detection System Established Using Acceleration Data and the Mahalanobis Distance: A Preliminary Study

Effect of an intervention of exercise on sleep and seizure frequency in idiopathic epileptic dogs

Novel subscalp and intracranial devices to wirelessly record and analyze continuous EEG in unsedated, behaving dogs in their natural environments: A new paradigm in canine epilepsy research

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