Cargando…
Characterizing Orthostatic Tremor Using a Smartphone Application
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, US...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Columbia University Libraries/Information Services
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5623759/ https://www.ncbi.nlm.nih.gov/pubmed/28975048 http://dx.doi.org/10.7916/D8V12GRJ |
_version_ | 1783268145347166208 |
---|---|
author | Balachandar, Arjun Fasano, Alfonso |
author_facet | Balachandar, Arjun Fasano, Alfonso |
author_sort | Balachandar, Arjun |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5623759 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Columbia University Libraries/Information Services |
record_format | MEDLINE/PubMed |
spelling | pubmed-56237592017-10-03 Characterizing Orthostatic Tremor Using a Smartphone Application Balachandar, Arjun Fasano, Alfonso Tremor Other Hyperkinet Mov (N Y) Teaching NeuroImages 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. Columbia University Libraries/Information Services 2017-07-18 /pmc/articles/PMC5623759/ /pubmed/28975048 http://dx.doi.org/10.7916/D8V12GRJ Text en © 2017 Balachandar et al. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution–Noncommerical–No Derivatives License, which permits the user to copy, distribute, and transmit the work provided that the original author and source are credited; that no commercial use is made of the work; and that the work is not altered or transformed. |
spellingShingle | Teaching NeuroImages Balachandar, Arjun Fasano, Alfonso Characterizing Orthostatic Tremor Using a Smartphone Application |
title | Characterizing Orthostatic Tremor Using a Smartphone Application |
title_full | Characterizing Orthostatic Tremor Using a Smartphone Application |
title_fullStr | Characterizing Orthostatic Tremor Using a Smartphone Application |
title_full_unstemmed | Characterizing Orthostatic Tremor Using a Smartphone Application |
title_short | Characterizing Orthostatic Tremor Using a Smartphone Application |
title_sort | characterizing orthostatic tremor using a smartphone application |
topic | Teaching NeuroImages |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5623759/ https://www.ncbi.nlm.nih.gov/pubmed/28975048 http://dx.doi.org/10.7916/D8V12GRJ |
work_keys_str_mv | AT balachandararjun characterizingorthostatictremorusingasmartphoneapplication AT fasanoalfonso characterizingorthostatictremorusingasmartphoneapplication |