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      Accuracy of Smartphone-Based Pulse Oximetry Compared with Hospital-Grade Pulse Oximetry in Healthy Children

      1 , 1 , 1 , 1 , 1
      Telemedicine and e-Health
      Mary Ann Liebert Inc

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          Abstract

          Pulse oximetry, a ubiquitous, noninvasive method to monitor oxygen saturation (SpO2), requires larger, nonportable equipment. Smartphone pulse oximeter applications (apps) provide a portable, cost-effective option, but are untested in children. We hypothesize that smartphone pulse oximetry will not be inferior to standard pulse oximetry measured in healthy children.

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          Most cited references7

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          Exact parametric confidence intervals for Bland-Altman limits of agreement.

          The previous literature on Bland-Altman analysis only describes approximate methods for calculating confidence intervals for 95% limits of agreement (LoAs). This article describes exact methods for calculating such confidence intervals based on the assumption that differences in measurement pairs are normally distributed.
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            Usability testing of a prototype Phone Oximeter with healthcare providers in high- and low-medical resource environments.

            To increase the use of pulse oximetry by capitalise on the wide availability of mobile phones, we have designed, developed and evaluated a prototype pulse oximeter interfaced to a mobile phone. Usability of this Phone Oximeter was tested as part of a rapid prototyping process. Phase 1 of the study (20 subjects) was performed in Canada. Users performed 23 tasks, while thinking aloud. Time for completion of tasks and analysis of user response to a mobile phone usability questionnaire were used to evaluate usability. Five interface improvements were made to the prototype before evaluation in Phase 2 (15 subjects) in Uganda. The lack of previous pulse oximetry experience and mobile phone use increased median (IQR [range]) time taken to perform tasks from 219 (160-247 [118-274]) s in Phase 1 to 228 (151-501 [111-2661]) s in Phase 2. User feedback was positive and overall usability high (Phase 1--82%, Phase 2--78%). Anaesthesia © 2012 The Association of Anaesthetists of Great Britain and Ireland.
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              Universal access to essential vital signs monitoring.

              Much more than a telephone, today's mobile device has become an integral part of the way we interface with the world. Mobile devices have the computing capability, display, and battery power to become powerful medical devices that measure vital signs and provide intelligent interpretation or immediate transmission of information. The widespread adoption of mobile devices, even in low-resource settings, promises to make vital signs monitoring available anywhere and at low cost. This readily available computing power will also extend the utility of vital signs monitoring to new clinical indications, especially with the use of additional processing and integration of information. This review will focus on the universal promotion of pulse oximetry and advanced processing of plethysmography to assess variables such as respiratory rate, capillary refill time, and fluid responsiveness, and how these measurements may assist with perioperative monitoring, diagnosis, and management of pneumonia in children and preeclampsia in pregnancy when combined with mobile devices.
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                Author and article information

                Journal
                Telemedicine and e-Health
                Telemedicine and e-Health
                Mary Ann Liebert Inc
                1530-5627
                1556-3669
                July 2018
                July 2018
                : 24
                : 7
                : 527-535
                Affiliations
                [1 ]Department of Emergency Medicine, Michigan Medicine at University of Michigan, Ann Arbor, Michigan.
                Article
                10.1089/tmj.2017.0166
                29215972
                8f1f50ef-9d44-4ce8-af54-26dd67ceacc2
                © 2018

                https://www.liebertpub.com/nv/resources-tools/text-and-data-mining-policy/121/

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