English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In this paper, a robust sinusoidal model fitting method based on theDifferential Evolution (DE) algorithm for determining cardiopulmonaryresuscitation (CPR) quality-parameters - naming chest compression frequency anddepth - as measured by an inertial sensor placed at the wrist is presented.Once included into a smartphone or smartwatch app, the proposed algorithm willenable bystanders to improve CPR (as part of a continuous closed-loopsupport-system). By evaluating the precision of the model with data recorded bya Laerdal Resusci Anne mannequin as reference standard, a low variance forcompression frequency of $\pm 2.0$ cpm has been found for the sensor placed atthe wrist, making this previously unconsidered position a suitable alternativeto the typical placement in the hand for CPR-training smartphone apps.

Staying Alive - CPR Quality Parameters from Wrist-worn Inertial Sensor Data with Evolutionary Fitted Sinusoidal Models