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Article: Hactive: a smartphone application for heart rate profiling

TitleHactive: a smartphone application for heart rate profiling
Authors
KeywordsInternet of things
mHealth
Cardiovascular health
Big data
Issue Date2020
PublisherSpringer (part of Springer Nature). The Journal's web site is located at https://www.springer.com/journal/12551
Citation
Biophysical Reviews, 2020, v. 12 n. 4, p. 777-779 How to Cite?
AbstractWith advancements in popular modern wearable devices, such as Apple Watch and Fitbit, it is now possible to harness these technologies for continuous monitoring and recording of heart rate data, which can then be used for medical research and ultimately e-health applications. In this paper, we report the development of a new mobile smartphone application (app) that enables heart rate profiles to be extracted and analysed from continuous heart rate monitoring time series. The new iOS app, called Hactive, extracts heart rate data from Apple’s smartwatches to construct heart rate profiles. A key innovation is Hactive’s ability to detect and analyse exercise-associated heart rate changes from continuous heart rate data, which enables heart rate profiles to be constructed based on free-living conditions. We believe this tool advances the use of wearable technology to collect physiologically relevant big data for healthcare and medical research. The source code of Hactive is available via an MIT open source licence at https://github.com/VCCRI/hactive.
Persistent Identifierhttp://hdl.handle.net/10722/284781
ISSN
2020 SCImago Journal Rankings: 1.766

 

DC FieldValueLanguage
dc.contributor.authorGoldberg, A-
dc.contributor.authorHo, JWK-
dc.date.accessioned2020-08-07T09:02:32Z-
dc.date.available2020-08-07T09:02:32Z-
dc.date.issued2020-
dc.identifier.citationBiophysical Reviews, 2020, v. 12 n. 4, p. 777-779-
dc.identifier.issn1867-2450-
dc.identifier.urihttp://hdl.handle.net/10722/284781-
dc.description.abstractWith advancements in popular modern wearable devices, such as Apple Watch and Fitbit, it is now possible to harness these technologies for continuous monitoring and recording of heart rate data, which can then be used for medical research and ultimately e-health applications. In this paper, we report the development of a new mobile smartphone application (app) that enables heart rate profiles to be extracted and analysed from continuous heart rate monitoring time series. The new iOS app, called Hactive, extracts heart rate data from Apple’s smartwatches to construct heart rate profiles. A key innovation is Hactive’s ability to detect and analyse exercise-associated heart rate changes from continuous heart rate data, which enables heart rate profiles to be constructed based on free-living conditions. We believe this tool advances the use of wearable technology to collect physiologically relevant big data for healthcare and medical research. The source code of Hactive is available via an MIT open source licence at https://github.com/VCCRI/hactive.-
dc.languageeng-
dc.publisherSpringer (part of Springer Nature). The Journal's web site is located at https://www.springer.com/journal/12551-
dc.relation.ispartofBiophysical Reviews-
dc.subjectInternet of things-
dc.subjectmHealth-
dc.subjectCardiovascular health-
dc.subjectBig data-
dc.titleHactive: a smartphone application for heart rate profiling-
dc.typeArticle-
dc.identifier.emailHo, JWK: jwkho@hku.hk-
dc.identifier.authorityHo, JWK=rp02436-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s12551-020-00731-3-
dc.identifier.scopuseid_2-s2.0-85087886798-
dc.identifier.hkuros311722-
dc.identifier.volume12-
dc.identifier.issue4-
dc.identifier.spage777-
dc.identifier.epage779-
dc.publisher.placeGermany-
dc.identifier.issnl1867-2450-

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