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dc.contributor.author오재훈-
dc.date.accessioned2016-06-17T07:11:45Z-
dc.date.available2016-06-17T07:11:45Z-
dc.date.issued2015-01-
dc.identifier.citationTELEMEDICINE AND E-HEALTH, v. 21, NO 1, Page. 36-41en_US
dc.identifier.issn1530-5627-
dc.identifier.urihttp://hdl.handle.net/20.500.11754/21741-
dc.identifier.urihttp://online.liebertpub.com/doi/abs/10.1089/tmj.2014.0051-
dc.description.abstractBackground: Although many smartphone application (app) programs provide education and guidance for basic life support, they do not commonly provide feedback on the chest compression depth (CCD) and rate. The validation of its accuracy has not been reported to date. This study was a feasibility assessment of use of the smartphone as a CCD feedback device. In this study, we proposed the concept of a new real-time CCD estimation algorithm using a smartphone and evaluated the accuracy of the algorithm. Materials and Methods: Using the double integration of the acceleration signal, which was obtained from the accelerometer in the smartphone, we estimated the CCD in real time. Based on its periodicity, we removed the bias error from the accelerometer. To evaluate this instrument's accuracy, we used a potentiometer as the reference depth measurement. The evaluation experiments included three levels of CCD (insufficient, adequate, and excessive# and four types of grasping orientations with various compression directions. We used the difference between the reference measurement and the estimated depth as the error. The error was calculated for each compression. Results: When chest compressions were performed with adequate depth for the patient who was lying on a flat floor, the mean #standard deviation# of the errors was 1.43 #1.00# mm. When the patient was lying on an oblique floor, the mean #standard deviation# of the errors was 3.13 #1.88) mm. Conclusions: The error of the CCD estimation was tolerable for the algorithm to be used in the smartphone-based CCD feedback app to compress more than 51 mm, which is the 2010 American Heart Association guideline.en_US
dc.description.sponsorshipThis work was supported by National Research Foundation grant NRF-2013R1A1A4A01006381 funded by the Korean Government.-
dc.language.isoenen_US
dc.publisherMARY ANN LIEBERTen_US
dc.subjectcardiopulmonary resuscitationen_US
dc.subjectchest compression depten_US
dc.subjectaccelerometeren_US
dc.subjectsmartphoneen_US
dc.titleA New Chest Compression Depth Feedback Algorithm for High-Quality CPR Based on Smartphoneen_US
dc.typeArticleen_US
dc.relation.no1-
dc.relation.volume21-
dc.identifier.doi10.1089/tmj.2014.0051-
dc.relation.page36-41-
dc.relation.journalTELEMEDICINE AND E-HEALTH-
dc.contributor.googleauthorSong, Yeongtak-
dc.contributor.googleauthorOh, Jaehoon-
dc.contributor.googleauthorChee, Youngjoon-
dc.relation.code2015003288-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF MEDICINE[S]-
dc.sector.departmentDEPARTMENT OF MEDICINE-
dc.identifier.pidojjai-
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COLLEGE OF MEDICINE[S](의과대학) > MEDICINE(의학과) > Articles
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