MIDL 2021

 
International Conference on
Medical Imaging with Deep Learning
5. bis 7. Juli 2021

An evolutionary approach to continuously estimate CPR quality parameters from a wrist-worn inertial sensor

TitleAn evolutionary approach to continuously estimate CPR quality parameters from a wrist-worn inertial sensor
Publication TypeJournal Article
Year of Publication2022
AuthorsLins C., Friedrich B., Hein A., Fudickar S.
JournalHealth and Technology
Pages161-173
Date Published10
ISSN21907196
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.

DOI10.1007/s12553-021-00618-7
Created at February 14, 2022 - 6:18pm.

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