Telemed J E Health - Reliability and validity of gait analysis by android-based smartphone.

Tópicos

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Resumo

Smartphones are very common devices in daily life that have a built-in tri-axial accelerometer. Similar to previously developed accelerometers, smartphones can be used to assess gait patterns. However, few gait analyses have been performed using smartphones, and their reliability and validity have not been evaluated yet. The purpose of this study was to evaluate the reliability and validity of a smartphone accelerometer. Thirty healthy young adults participated in this study. They walked 20 m at their preferred speeds, and their trunk accelerations were measured using a smartphone and a tri-axial accelerometer that was secured over the L3 spinous process. We developed a gait analysis application and installed it in the smartphone to measure the acceleration. After signal processing, we calculated the gait parameters of each measurement terminal: peak frequency (PF), root mean square (RMS), autocorrelation peak (AC), and coefficient of variance (CV) of the acceleration peak intervals. Remarkable consistency was observed in the test-retest reliability of all the gait parameter results obtained by the smartphone (p<0.001). All the gait parameter results obtained by the smartphone showed statistically significant and considerable correlations with the same parameter results obtained by the tri-axial accelerometer (PF r=0.99, RMS r=0.89, AC r=0.85, CV r=0.82; p<0.01). Our study indicates that the smartphone with gait analysis application used in this study has the capacity to quantify gait parameters with a degree of accuracy that is comparable to that of the tri-axial accelerometer.

Resumo Limpo

smartphon common devic daili life builtin triaxial acceleromet similar previous develop acceleromet smartphon can use assess gait pattern howev gait analys perform use smartphon reliabl valid evalu yet purpos studi evalu reliabl valid smartphon acceleromet thirti healthi young adult particip studi walk m prefer speed trunk acceler measur use smartphon triaxial acceleromet secur l spinous process develop gait analysi applic instal smartphon measur acceler signal process calcul gait paramet measur termin peak frequenc pf root mean squar rms autocorrel peak ac coeffici varianc cv acceler peak interv remark consist observ testretest reliabl gait paramet result obtain smartphon p gait paramet result obtain smartphon show statist signific consider correl paramet result obtain triaxial acceleromet pf r rms r ac r cv r p studi indic smartphon gait analysi applic use studi capac quantifi gait paramet degre accuraci compar triaxial acceleromet

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