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Using a Smart Phone as a Standalone Platform for Detection and Monitoring of Pathological Tremors

Identifieur interne : 000277 ( Pmc/Corpus ); précédent : 000276; suivant : 000278

Using a Smart Phone as a Standalone Platform for Detection and Monitoring of Pathological Tremors

Auteurs : Jean Daneault ; Benoit Carignan ; Carl Codère ; Abbas Sadikot ; Christian Duval

Source :

RBID : PMC:3548411

Abstract

Introduction: Smart phones are becoming ubiquitous and their computing capabilities are ever increasing. Consequently, more attention is geared toward their potential use in research and medical settings. For instance, their built-in hardware can provide quantitative data for different movements. Therefore, the goal of the current study was to evaluate the capabilities of a standalone smart phone platform to characterize tremor. Results: Algorithms for tremor recording and online analysis can be implemented within a smart phone. The smart phone provides reliable time- and frequency-domain tremor characteristics. The smart phone can also provide medically relevant tremor assessments. Discussion: Smart phones have the potential to provide researchers and clinicians with quantitative short- and long-term tremor assessments that are currently not easily available. Methods: A smart phone application for tremor quantification and online analysis was developed. Then, smart phone results were compared to those obtained simultaneously with a laboratory accelerometer. Finally, results from the smart phone were compared to clinical tremor assessments.


Url:
DOI: 10.3389/fnhum.2012.00357
PubMed: 23346053
PubMed Central: 3548411

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