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使用智能手机应用程序表征直立性震颤。

Characterizing Orthostatic Tremor Using a Smartphone Application.

作者信息

Balachandar Arjun, Fasano Alfonso

机构信息

University of Toronto Medical School, Toronto, Ontario, Canada.

Morton and Gloria Shulman Movement Disorders Centre and the Edmond J. Safra Program in Parkinson's Disease, Toronto Western Hospital, UHN, Division of Neurology, University of Toronto, Toronto, Ontario, Canada.

出版信息

Tremor Other Hyperkinet Mov (N Y). 2017 Jul 18;7:488. doi: 10.7916/D8V12GRJ. eCollection 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.

摘要

背景

直立性震颤是少数几种需要通过肌电图进行明确诊断的震颤病症之一,因为腿部震颤可能肉眼无法看见。

呈现的现象学

一款适用于iOS的应用程序(iSeismometer,ObjectGraph LLC,纽约),将一部苹果iPhone 5(美国加利福尼亚州库比蒂诺)置于患者袜子中,检测到双腿出现频率为16.4赫兹的震颤。

教育价值

该患者通过基于加速度计的快速且直接的记录,展示了对直立性震颤进行定量分析的简便程度,重要的是,还展示了这种方法在评估任何下肢震颤方面的潜在应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26c1/5623759/abf9a5c31b23/tre-07-488-7522-1-g001.jpg

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