Scientific Data (Nov 2024)

Dataset of Smartphone-Based Finger Tapping Test

  • Ramon Costa Lima,
  • Felipe André da Costa Brito,
  • Rodrigo Luz do Nascimento,
  • Sthephanie Nazaré e Silva Martins,
  • Luis Carlos Monteiro Pereira,
  • Jéssica Portal Seabra,
  • Hugo Leonnardo Chaves Farias,
  • Laenna Morgana Cunha da Silva,
  • Victor Matheus Silva de Miranda,
  • Anderson Belgamo,
  • André dos Santos Cabral,
  • Bianca Callegari,
  • Anselmo de Athayde Costa e Silva,
  • Alex Crisp,
  • Cândida Helena Lopes Alves,
  • Eliza Maria da Costa Brito Lacerda,
  • Givago Silva Souza

DOI
https://doi.org/10.1038/s41597-024-04052-y
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 4

Abstract

Read online

Abstract The finger tapping test (FTT) is a neuropsychological test that measures motor speed and coordination. It involves tapping a designated surface with a specific finger as quickly as possible for a certain duration. Touchscreen of smartphones has been used as interface to record the tap, what enables to extract information about the taps. The present study represents an initiative of construction for a national Database of Smartphone-Based FTT, which includes data from 176 healthy male and female adults ranging in age from 18 to 74 years. Participants were asked to perform the FTT using one or both hands, tapping on a central area of a smartphone as many times as possible within a 30-second interval. Data were extracted using an Android application, encompassing details such as touch timing, spatial coordinates, sex, smartphone model, hand used, and age. A Python-developed web visualization tool for individual and averaged analysis. This database serves as informative foundation for a healthy adult sample and supports further exploration and international comparative analyses of FTT performance.