2019
DOI: 10.1212/wnl.0000000000007644
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Capturing acute vertigo

Abstract: ObjectiveTo facilitate the diagnosis of vestibular disorders by patient-initiated capture of ictal nystagmus.MethodsAdults from an Australian neurology outpatient clinic reporting recurrent vertigo were recruited prospectively and taught to self-record spontaneous and positional nystagmus at home while symptomatic, using miniature video-oculography goggles. Consenting patients with ictal videorecordings and a final unblinded clinical diagnosis of Ménière disease (MD), vestibular migraine (VM), or benign paroxy… Show more

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Cited by 73 publications
(53 citation statements)
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“…By virtue of both recent developments in information (IT) and biology (BT) technology through programs available on mobile devices [46] and using artificial intelligence and a deep-learning model, interest has turned to whether this approach can be used to determine the underlying disorder(s) causing dizziness and vertigo, and with this the subtype of BPPV [47]. Furthermore, recording of nystagmus during the attacks of vertigo may also become feasible in near future using various portable devices [48]. These kinds of approaches adopting artificial intelligence, deeplearning, wearable devices, and mobile applications, will become more important in determining the cause of vertigo, especially when we have to rely more on telemedicine as is the case now given the COVID-19 pandemic.…”
Section: Diagnosismentioning
confidence: 99%
“…By virtue of both recent developments in information (IT) and biology (BT) technology through programs available on mobile devices [46] and using artificial intelligence and a deep-learning model, interest has turned to whether this approach can be used to determine the underlying disorder(s) causing dizziness and vertigo, and with this the subtype of BPPV [47]. Furthermore, recording of nystagmus during the attacks of vertigo may also become feasible in near future using various portable devices [48]. These kinds of approaches adopting artificial intelligence, deeplearning, wearable devices, and mobile applications, will become more important in determining the cause of vertigo, especially when we have to rely more on telemedicine as is the case now given the COVID-19 pandemic.…”
Section: Diagnosismentioning
confidence: 99%
“…Furthermore, the vHIT approach has the potential for even broader applications in the bedside assessment of patients with inner ear disease (e.g., vestibular neuritis, Ménière’s disease, and bilateral vestibulopathy), whether for diagnosis and management in the clinic, or for research. Finally, when paired with phone-based video recordings or nystagmography for intermittent vertigo with nystagmus [18], this approach has the potential to transform care for all patients with dizziness and vertigo, making in-home telediagnosis and treatment a real possibility. Because minority populations more often use smartphones as their primary tool for engaging in health-related activities [19], this is a way to place equity first in stroke and vestibular care.…”
Section: Discussionmentioning
confidence: 99%
“…Implementing home-based vestibular event monitoring by patient-initiated capture of ictal nystagmus could help in detecting nystagmus during vertiginous attacks and in the differential diagnosis of three of the most commonly encountered causes of episodic vertigo: vestibular migraine (VM), Meniere's disease, and benign paroxysmal positional vertigo (BPPV). 30 31 …”
Section: General Findingsmentioning
confidence: 99%
“… 65 Patient-initiated monitoring of eye movements revealed spontaneous vertical nystagmus and persistent positional nystagmus, which are highly specific for VM during the attacks. 30 …”
Section: Triggered Nystagmusmentioning
confidence: 99%