@article {Lins2022,
	title = {An evolutionary approach to continuously estimate CPR quality parameters from a wrist-worn inertial sensor},
	journal = {Health and Technology},
	year = {2022},
	month = {10},
	pages = {161-173},
	abstract = {Cardiopulmonary resuscitation (CPR) is one of the most critical emergency interventions for sudden cardiac arrest. In this paper, a robust sinusoidal model-fitting method based on a Evolution Strategy inspired algorithm for CPR quality parameters {\textendash} naming chest compression frequency and depth {\textendash} as measured by an inertial measurement unit (IMU) attached to the wrist is presented. The proposed approach will allow bystanders to improve CPR as part of a continuous closed-loop support system once integrated into a smartphone or smartwatch application. By evaluating the model{\textquoteright}s precision with data recorded by a training mannequin as reference standard, a variance for the compression frequency of {\textpm} 2.22 compressions per minute (cpm) has been found for the IMU attached to the wrist. It was found that this previously unconsidered position and thus, the use of smartwatches is a suitable alternative to the typical placement of phones in hand for CPR training.},
	issn = {21907196},
	doi = {10.1007/s12553-021-00618-7},
	author = {Lins, Christian and Friedrich, Bj{\"o}rn and Hein, Andreas and Fudickar, Sebastian}
}
