An evolutionary approach to continuously estimate CPR quality parameters from a wrist-worn inertial sensor
Titel | An evolutionary approach to continuously estimate CPR quality parameters from a wrist-worn inertial sensor |
Publication Type | Journal Article |
Year of Publication | 2022 |
Authors | Lins C., Friedrich B., Hein A., Fudickar S. |
Journal | Health and Technology |
Pages | 161-173 |
Date Published | 10 |
ISSN | 21907196 |
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 – 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. |
DOI | 10.1007/s12553-021-00618-7 |