%0 Journal Article %J Health and Technology %D 2022 %T An evolutionary approach to continuously estimate CPR quality parameters from a wrist-worn inertial sensor %A Lins, Christian %A Friedrich, Björn %A Hein, Andreas %A Fudickar, Sebastian %P 161-173 %R 10.1007/s12553-021-00618-7 %X 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 – naming chest compression frequency and depth – 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’s precision with data recorded by a training mannequin as reference standard, a variance for the compression frequency of ± 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. %8 10