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Characterizing Orthostatic Tremor Using a Smartphone Application Cover

Characterizing Orthostatic Tremor Using a Smartphone Application

Open Access
|Jul 2017

Abstract

Background: Orthostatic tremor is one of the few tremor conditions requiring an electromyogram for definitive diagnosis since leg tremor might not be visible to the naked eye.

Phenomenology Shown: An iOS application (iSeismometer, ObjectGraph LLC, New York) using an Apple iPhone 5 (Cupertino, CA, USA) inserted into the patient’s sock detected a tremor with a frequency of 16.4 Hz on both legs.

Educational Value: The rapid and straightforward accelerometer-based recordings accomplished in this patient demonstrate the ease with which quantitative analysis of orthostatic tremor can be conducted and, importantly, demonstrates the potential application of this approach in the assessment of any lower limb tremor.

DOI: https://doi.org/10.5334/tohm.385 | Journal eISSN: 2160-8288
Language: English
Submitted on: Jun 11, 2017
Accepted on: Jun 30, 2017
Published on: Jul 18, 2017
Published by: Columbia University Libraries/Information Services
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2017 Arjun Balachandar, Alfonso Fasano, published by Columbia University Libraries/Information Services
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.