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Lins C, Friedrich B, Hein A, Fudickar S. An evolutionary approach to continuously estimate CPR quality parameters from a wrist-worn inertial sensor. HEALTH AND TECHNOLOGY 2021. [DOI: 10.1007/s12553-021-00618-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
AbstractCardiopulmonary 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 $$\pm 2.22$$
±
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.
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Fernández-Méndez F, Barcala-Furelos R, Otero-Agra M, Fernández-Méndez M, Santos-Folgar M, Rodríguez-Núñez A. Evaluación sobre la técnica de compresiones torácicas usando APP. ¿Ayudan o entorpecen la reanimación cardiopulmonar? Med Intensiva 2020; 44:72-79. [DOI: 10.1016/j.medin.2018.07.015] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Revised: 06/01/2018] [Accepted: 07/16/2018] [Indexed: 11/25/2022]
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