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Case Reports
. 2017 Jul 18:7:488.
doi: 10.7916/D8V12GRJ. eCollection 2017.

Characterizing Orthostatic Tremor Using a Smartphone Application

Arjun Balachandar  1 , Alfonso Fasano  2   3
Affiliations
Case Reports

Characterizing Orthostatic Tremor Using a Smartphone Application

Arjun Balachandar et al. Tremor Other Hyperkinet Mov (N Y). .

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.

Keywords: Accelerometer; diagnosis; orthostatic tremor; smartphone; wearable.

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Conflict of interest statement

Funding: None. Conflict of Interest: The authors report no conflict of interest. Ethics Statement: All patients that appear on video have provided written informed consent; authorization for the videotaping and for publication of the videotape was provided.

Figures

Figure 1
Figure 1. Fast Fourier Transform of Orthostatic Tremor Accelerometer Recordings. Tremor was recorded from the lower leg using a smartphone placed in the patient’s sock. There is a 16.4 Hz Y-axis peak present in both legs, a feature characteristic of orthostatic tremor.
See this image and copyright information in PMC

References

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