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Movement Disorders Clinical Practice
Article . 2017 . Peer-reviewed
License: Wiley Online Library User Agreement
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Smartphone Apps Provide a Simple, Accurate Bedside Screening Tool for Orthostatic Tremor

Authors: Danish Bhatti; Rebecca Thompson; Amy Hellman; Cynthia Penke; John M Bertoni; Diego Torres‐Russotto;

Smartphone Apps Provide a Simple, Accurate Bedside Screening Tool for Orthostatic Tremor

Abstract

AbstractBackgroundOrthostatic Tremor (OT) is characterized by the presence of a sensation of instability while standing, associated with high frequency (13–18 Hz) lower extremity tremor. Diagnosis is confirmed with surface electromyography (EMG). An accurate screening tool that could be used in the routine clinical setting, without any specialized equipment, would be useful in earlier detection of OT and judicial use of additional testing.ObjectiveThe objective of this study was to evaluate OT diagnostic test characteristics at bedside using iPhone's built‐in accelerometer and available applications for tremor recordings.MethodsWe obtained recordings using iPhones (Model 5, 5s, and 6) and free Applications (“LiftPulse” by LiftLabs [App1] and “iSeismometer” by ObjectGraph LLC [App2]) at default settings.Results24 EMG‐confirmed OT subjects (mostly females, 22/24) and 15 age‐matched controls (mostly males, 11/15) were evaluated. App1 detected OT range tremor in 22/24 patients and none of the controls. (Sensitivity = 92%, Specificity = 100%, NPV = 88%). App2 detected OT range tremor in 21/24 patients and in 1/13 controls (Sensitivity = 88%, Specificity = 92%, NPV = 80%). When combined, 24/24 patients and 1/13 controls had OT range tremor (Sensitivity = 100%, Specificity = 92%, NPV = 100%).ConclusionsSmartphone apps that use the built‐in accelerometer provide a simple, accurate and inexpensive bedside screening diagnostic tool for patients with OT.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Top 10%
Top 10%
Top 10%
bronze