Statistical characterization of the finger tapping test using an android mobile app

Alexander Bermeo, Marco Bravo, Monica Huerta, Juan Bermeo, Bertha Punin, Boris Barzallo

Research output: Contribution to conferencePaper

Abstract

© 2017 IEEE. In this research, a system to objectively quantify the Finger Tapping Test (FTT) is presented. The main element of this system is the Finger-TApp application, developed in order to record the taps performed by the people evaluated for 10 seconds. The study was performed with 64 healthy participants, aged between 50 and 83 years, men and women. Initially they were analyzed in three age groups, but finding no greater differences between these groups, it was decided to analyze all of them in a single set. With the results of the amount of taps performed by each patient, the mean and standard deviation were calculated; based on these values, the Upper Standard Deviation (USD) and the Lower Standard Deviation (LSD) were calculated. Additionally, it was verified that the distribution of the amount of taps, in the range of ages of the evaluated participants, corresponds to a normal distribution. According to the results obtained, future work is proposed, including improvements in the system and evaluations of people with Parkinson's disease, in which case the results obtained in the current study will be taken as a normality reference.
Translated title of the contributionCaracterización estadística de la prueba de pinchazo con el dedo con una aplicación móvil androide
Original languageEnglish (US)
Pages1-6
Number of pages6
DOIs
StatePublished - 4 Jan 2018
Event2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017 - Salinas, Ecuador
Duration: 16 Oct 201720 Oct 2017

Conference

Conference2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017
Abbreviated titleETCM 2017
CountryEcuador
CitySalinas
Period16/10/1720/10/17

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