Search Articles

View query in Help articles search

Search Results (1 to 10 of 975 Results)

Download search results: CSV END BibTex RIS


Assessment of Pelvic Motion During Single-Leg Weight-Bearing Tasks Using Smartphone Sensors: Validity Study

Assessment of Pelvic Motion During Single-Leg Weight-Bearing Tasks Using Smartphone Sensors: Validity Study

Gender differences were investigated on the smartphone data using a 2-tailed, independent sample t test (or Wilcoxon rank-sum test when not normally distributed). The significance level was set at P During SD15 and SD20, 11 and 19 participants, respectively, were unable to reach the floor. Smartphone data from one participant demonstrated visible drift when measuring orientation in the transverse plane during SD20; this participant was excluded from analyses of this task.

Yu Xi, Zhongsheng Li, Surendran Vatatheeswaran, Valter Devecchi, Alessio Gallina

JMIR Rehabil Assist Technol 2025;12:e65342

Personalized Physician-Assisted Sleep Advice for Shift Workers: Algorithm Development and Validation Study

Personalized Physician-Assisted Sleep Advice for Shift Workers: Algorithm Development and Validation Study

We followed the methods by Yu et al [38] to extract some features from the same Fitbit and survey data, and engineered extra features to accommodate our objectives. Raw data from Fitbit included minute-by-minute steps and heart rate as well as the start time, end time, duration, and efficiency of each sleep period. From raw heart rate data, we computed their average, SD, and sample entropy.

Yufei Shen, Alicia Choto Olivier, Han Yu, Asami Ito-Masui, Ryota Sakamoto, Motomu Shimaoka, Akane Sano

JMIR Form Res 2025;9:e65000