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

Autor:	Lins, Christian, Klausen, Andreas, Hellmers, Sandra, Hein, Andreas, Fudickar, Sebastian
Rok vydání:	2018
Předmět:	Physics - Medical Physics Computer Science - Neural and Evolutionary Computing
Druh dokumentu:	Working Paper
Popis:	In this paper, a robust sinusoidal model fitting method based on the Differential Evolution (DE) algorithm for determining cardiopulmonary resuscitation (CPR) quality-parameters - naming chest compression frequency and depth - as measured by an inertial sensor placed at the wrist is presented. Once included into a smartphone or smartwatch app, the proposed algorithm will enable bystanders to improve CPR (as part of a continuous closed-loop support-system). By evaluating the precision of the model with data recorded by a Laerdal Resusci Anne mannequin as reference standard, a low variance for compression frequency of $\pm 2.0$ cpm has been found for the sensor placed at the wrist, making this previously unconsidered position a suitable alternative to the typical placement in the hand for CPR-training smartphone apps. Comment: 13 pages
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1809.07692 Zobrazit plný text záznamu View this record from Arxiv