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Many existing mobile applications have been developed to assist users in locating a nearby AED. However, these applications do not provide indoor navigation to the AED location. The time required to locate an AED inside a building due to a lack of indoor navigation systems will reduce the patient\u2019s chance of survival. The existing indoor navigation solutions either require special hardware, a large dataset or a significant amount of initial work. These requirements make these systems not viable for implementation on a large-scale.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>The proposed system collects Wi-Fi information from the existing devices and the path\u2019s magnetic information using a smartphone to guide the user from a starting point to an AED. The information collected is processed using four techniques: turn detection method, Magnetic data pattern matching method, Wi-Fi fingerprinting method and Closest Wi-Fi location method to estimate user location. The user location estimations from all four techniques are further processed to determine the user\u2019s location on the path, which is then used to guide the user to the AED location.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The four techniques used in the proposed system<jats:italic>Turn detection<\/jats:italic>,<jats:italic>Magnetic data pattern matching<\/jats:italic>,<jats:italic>Closest Wi-Fi location<\/jats:italic>and<jats:italic>Wi-Fi fingerprinting<\/jats:italic>can individually achieve the accuracy of 80% with the error distance \u00b1 9.4\u00a0m, \u00b1 2.4\u00a0m, \u00b1 4.6\u00a0m, and \u00b1 4.6\u00a0m respectively. These four techniques, applied individually, may not always provide stable results. Combining these techniques results in a robust system with an overall accuracy of 80% with an error distance of \u00b1 2.74\u00a0m. In comparison, the proposed system\u2019s accuracy is higher than the existing systems that use Wi-Fi and magnetic data.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>This research proposes a novel approach that requires no special hardware, large scale data or significant initial work to provide indoor navigation. The proposed system<jats:italic>AEDNav<\/jats:italic>can achieve an accuracy similar to the existing indoor navigation systems. Implementing this indoor navigation system could reduce the time to locate an AED and ultimately increase patient survival during sudden cardiac arrest.<\/jats:p><\/jats:sec>","DOI":"10.1186\/s12911-022-01886-7","type":"journal-article","created":{"date-parts":[[2022,6,20]],"date-time":"2022-06-20T10:04:17Z","timestamp":1655719457000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["AEDNav: indoor navigation for locating automated external defibrillator"],"prefix":"10.1186","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1092-9617","authenticated-orcid":false,"given":"Gaurav","family":"Rao","sequence":"first","affiliation":[]},{"given":"Vijay","family":"Mago","sequence":"additional","affiliation":[]},{"given":"Pawan","family":"Lingras","sequence":"additional","affiliation":[]},{"given":"David W.","family":"Savage","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,6,20]]},"reference":[{"key":"1886_CR1","unstructured":"U.S. National Library of Medicine. 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Last accessed 24 Oct 2018."},{"issue":"1","key":"1886_CR5","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/j.resuscitation.2004.03.025","volume":"63","author":"TD Rea","year":"2004","unstructured":"Rea TD, Eisenberg MS, Sinibaldi G, White RD. Incidence of EMS-treated out-of-hospital cardiac arrest in the United States. Resuscitation. 2004;63(1):17\u201324.","journal-title":"Resuscitation"},{"issue":"1","key":"1886_CR6","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1161\/CIR.0b013e318245fac5","volume":"125","author":"VL Roger","year":"2012","unstructured":"Roger VL, Go AS, Lloyd-Jones DM, Benjamin EJ, Berry JD, Borden WB, Bravata DM, Dai S, Ford ES, Fox CS, et al. Heart disease and stroke statistics-2012 update: a report from the American Heart Association. Circulation. 2012;125(1):2\u2013220.","journal-title":"Circulation"},{"key":"1886_CR7","unstructured":"Canadian Institutes of Health Research. Research program intended to help Canadians survive sudden cardiac arrest shows promising results. http:\/\/www.cihr-irsc.gc.ca\/e\/50090.html. Last accessed 25 Oct 2018."},{"key":"1886_CR8","unstructured":"American Heart Association. Every second counts AED fact sheet 2014. https:\/\/www.heart.org\/idc\/groups\/heart-public\/@wcm\/@adv\/documents\/downloadable\/ucm_462303.pdf. Last accessed 24 Oct 2018."},{"issue":"10","key":"1886_CR9","doi-asserted-by":"publisher","first-page":"3308","DOI":"10.1161\/01.CIR.96.10.3308","volume":"96","author":"TD Valenzuela","year":"1997","unstructured":"Valenzuela TD, Roe DJ, Cretin S, Spaite DW, Larsen MP. Estimating effectiveness of cardiac arrest interventions: a logistic regression survival model. 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