Table 1.

Checklist of important considerations associated with the evaluation of data provided by wearables.

Factor	Action/recommendation
Sensor characteristics	Scrutiny of each sensor
Software	Specify calculations/algorithms Report the version of software and firmware involved
Raw data	Report sampling frequency Report filtering techniques and aggregation
Durability	Report the durability and age of the device
Anatomical positioning	Report the precise anatomical positioning of sensors Report signal reproducibility upon repeated putting on and taking off Report considerations concerning positioning Control for and describe potential interference
Study population	Describe the target population Specify inclusion and exclusion criteria Generalize to other populations only with great care
Exercise protocol	Describe conditions (eg, ambient temperature, altitude) in as much detail as possible Investigate different forms of exercise (running, cycling, walking, moving freely) Apply different intensities (lying, sitting, low and high intensity)
Confounders	Report any potential confounding factors Perform assessment in both controlled and real-life scenarios Check for potential crosstalk between devices
Assessment of reliability	Determine intradevice and interdevice reliability Document intrasubject standard deviation Report the coefficient of variation Calculate the intraclass correlation coefficient Recruit at least 50 participants Report systematic bias
Assessment of sensitivity	Calculate the smallest worthwhile change
Assessment of validity	Choose an appropriate criterion measure and assess the reliability of this measure as well Perform linear regression analysis Calculate Pearson’s product-moment correlation