nach oben

Universal Access in the Information Society

Erschienen in:

02.07.2019 | Review Paper

Context awareness in healthcare: a systematic literature review

verfasst von: Luis Claudio Gubert, Cristiano André da Costa, Rodrigo da Rosa Righi

Erschienen in: Universal Access in the Information Society | Ausgabe 2/2020

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

The incorporation of information and communication technologies has transformed the health field. With the constant miniaturization of embedded devices, the increase in human–computer interactions and their ubiquity has increased the possibilities of intervention in this field of study. One of the fundamental characteristics of ubiquitous computing applied to health is context awareness. The use of context awareness in healthcare faces many challenges, which has led to the search for several solutions in the integration of sensors from different origins, in data fusion and reasoning algorithms, among others. This paper aims to explore the recent literature related to the use of context awareness in health, defining the taxonomy and identifying challenges and open questions. The method for achieving these objectives is to use the systematic literature review approach, which is characterized by research questions that guide the definition of a taxonomy and the search for challenges in the area. As a result, we have reviewed around 4000 scientific studies published over the last ten years, selecting and researching the most meaningful, in-depth approaches in the field of context-aware health, resulting in a final corpus of 38 articles. We have developed an up-to-date taxonomy that classifies context awareness in the field of health, as well as identifying open questions and issues that can guide future work in the area. These results, unified in one paper, contribute to a significant degree of coverage of the use of context-aware data in health.

Vorheriger Artikel A systematic review of modalities in computer-based interventions (CBIs) for language comprehension and decoding skills of children with autism spectrum disorder (ASD)

Nächster Artikel The future of smartwatches: assessing the end-users’ continuous usage using an extended expectation-confirmation model

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Ahmadi, H., Arji, G., Shahmoradi, L., Safdari, R., Nilashi, M., Alizadeh, M.: The application of Internet of Things in healthcare: A systematic literature review and classification. Universal Access in the Information Society pp. 1–33 (2018). https://doi.org/10.1007/s10209-018-0618-4 CrossRef

Al-Neyadi, F., Abawajy, J.H.: Context-based e-health system access control mechanism. In: Park, J.H. and Zhan, J. and Lee, C. and Wang, G. and Kim, T. and Teo, S. (eds.), Communications in Computer and Information Science, vol. 36, pp. 68–77 (2009). https://doi.org/10.1007/978-3-642-02633-1_9 CrossRef

Alirezaie, M., Renoux, J., Köckemann, U., Kristoffersson, A., Karlsson, L., Blomqvist, E., Tsiftes, N., Voigt, T., Loutfi, A.: An ontology-based context-aware system for smart homes: E-care@home. Sensors (Switzerland) 17(7), 1–23 (2017). https://doi.org/10.3390/s17071586 CrossRef

Alshurafa, N., Xu, W., Liu, J.J., Huang, M.C., Mortazavi, B., Roberts, C.K., Sarrafzadeh, M.: Designing a robust activity recognition framework for health and exergaming using wearable sensors. IEEE J. Biomed. Health Inform. 18(5), 1636–1646 (2014). https://doi.org/10.1109/JBHI.2013.2287504 CrossRef

Amin, R., Islam, S.H., Biswas, G.P., Khan, M.K., Kumar, N.: A robust and anonymous patient monitoring system using wireless medical sensor networks. Future Gener. Comput. Syst. 80, 483–495 (2018). https://doi.org/10.1016/j.future.2016.05.032 CrossRef

Azimi, I., Rahmani, A.M., Liljeberg, P., Tenhunen, H.: Internet of things for remote elderly monitoring: a study from user-centered perspective. J. Ambient Intell. Humaniz. Comput. 8(2), 273–289 (2017). https://doi.org/10.1007/s12652-016-0387-y CrossRef

Bae, W.D., Alkobaisi, S., Narayanappa, S., Liu, C.C.: A mobile data analysis framework for environmental health decision support. In: 2012 Ninth International Conference on Information Technology—New Generations, pp. 155–161 (2012). https://doi.org/10.1109/ITNG.2012.31

Baloch, Z., Shaikh, F.K., Unar, M.A.: A context-aware data fusion approach for health-iot. Int. J. Inf. Technol. 10(3), 241–245 (2018). https://doi.org/10.1007/s41870-018-0116-1 CrossRef

Beattie, M., Zheng, H., Nugent, C., McCullagh, P.: Self-management of COPD: a technology driven paradigm. In: Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication, pp. 53:1–53:8 (2014). https://doi.org/10.1145/2557977.2558084

10.

Bobek, S., Nalepa, G.J.: Uncertainty handling in rule-based mobile context-aware systems. Pervasive Mob. Comput. 39, 159–179 (2017). https://doi.org/10.1016/j.pmcj.2016.09.004 CrossRef

11.

Brereton, P., Kitchenham, B.A., Budgen, D., Turner, M., Khalil, M.: Lessons from applying the systematic literature review process within the software engineering domain. J. Syst. Softw. 80(4), 571–583 (2007). https://doi.org/10.1016/j.jss.2006.07.009 CrossRef

12.

Cherkaoui, E.H., Agoulmine, N.: Context-Aware mobility management with WiFi/3G offloading for ehealth WBANs. In: 2014 IEEE 16th International Conference on e-Health Networking, Applications and Services, Healthcom 2014, pp. 472–476 (2015). https://doi.org/10.1109/HealthCom.2014.7001888

13.

Chiang, T.C., Liang, W.H.: A context-aware interactive health care system based on ontology and fuzzy inference. J. Med. Syst. 39(9), 105 (2015). https://doi.org/10.1007/s10916-015-0287-2 CrossRef

14.

Čolaković, A., Hadžialić, M.: Internet of Things (IoT): A review of enabling technologies, challenges, and open research issues. Comput. Netw. 144, 17–39 (2018). https://doi.org/10.1016/j.comnet.2018.07.017 CrossRef

15.

da Costa, C.A., Yamin, A.C., Geyer, C.F.R.: Toward a general software infrastructure for ubiquitous computing. IEEE Pervasive Comput. 7(1), 64–73 (2008). https://doi.org/10.1109/MPRV.2008.21 CrossRef

16.

De La Iglesia, D.H., De Paz, J.F., González, G.V., Barriuso, A.L., Bajo, J.: A context-aware indoor air quality system for sudden infant death syndrome prevention. Sensors (Switzerland) 18(3), 757 (2018). https://doi.org/10.3390/s18030757 CrossRef

17.

Deen, M.J.: Information and communications technologies for elderly ubiquitous healthcare in a smart home. Pers. Ubiquitous Comput. 19(3), 573–599 (2015). https://doi.org/10.1007/s00779-015-0856-x CrossRef

18.

Dey, A.K., Abowd, G.D., Salber, D.: A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications. Hum. Comput. Interact. 16(2–4), 97–166 (2001). https://doi.org/10.1207/S15327051HCI16234_02 CrossRef

19.

Dobrescu, R.: Human-Centered Architecture of a Medical Cyber-Physical System. Iwocps. Hpc. Pub, Ro (2015)

20.

ElHelw, M., Pansiot, J., McIlwraith, D., Ali, R., Lo, B., Atallah, L.: An integrated multi-sensing framework for pervasive healthcare monitoring. In: Proceedings of the 3d International ICST Conference on Pervasive Computing Technologies for Healthcare, pp. 1–7 (2009). https://doi.org/10.4108/ICST.PERVASIVEHEALTH2009.6038

21.

Elmalaki, S., Wanner, L., Srivastava, M.: CAreDroid. In: Proceedings of the 21st Annual International Conference on Mobile Computing and Networking, pp. 386–399 (2015). https://doi.org/10.1145/2789168.2790108

22.

Esposito, M., Minutolo, A., Megna, R., Forastiere, M., Magliulo, M., De Pietro, G.: A smart mobile, self-configuring, context-aware architecture for personal health monitoring. Eng. Appl. Artif. Intell. 67, 136–156 (2018). https://doi.org/10.1016/j.engappai.2017.09.019 CrossRef

23.

Firouzi, F., Rahmani, A.M., Mankodiya, K., Badaroglu, M., Merrett, G.V., Wong, P., Farahani, B.: Internet-of-things and big data for smarter healthcare: from device to architecture, applications and analytics. Future Gener. Comput. Syst. 78, 583–586 (2018). https://doi.org/10.1016/j.future.2017.09.016 CrossRef

24.

Forkan, A., Khalil, I., Ibaida, A., Tari, Z.: BDCaM: big data for context-aware monitoring—a personalized knowledge discovery framework for assisted healthcare. IN: IEEE Transactions on Cloud Computing pp. 1–1 (2015). https://doi.org/10.1109/TCC.2015.2440269 CrossRef

25.

Garrido, J.E., Penichet, V.M.R., Lozano, M.D.: A novel context-aware system to support healthcare environments. Universal Access in the Information Society (2018). https://doi.org/10.1007/s10209-018-0623-7 CrossRef

26.

Gomes, B., Muniz, L., da Silva e Silva, F., Ríos, L., Endler, M.: A comprehensive and scalable middleware for Ambient Assisted Living based on cloud computing and Internet of Things. Concurrency and Computation: Practice and Experience 29(11), e4043 (2017). https://doi.org/10.1002/cpe.4043 CrossRef

27.

HameurLaine, A., Abdelaziz, K., Roose, P., Kholladi, M.K.: Ontology and rules-based model to reason on useful contextual information for providing appropriate services in U-healthcare systems. In: Camacho, D., Braubach, L., Venticinque, S., Badica, C. (eds.) Intelligent Distributed Computing VIII, pp. 301–310. Springer, Berlin (2015). https://doi.org/10.1007/978-3-319-10422-5_32 CrossRef

28.

Holzinger, A., Biemann, C., Pattichis, C.S., Kell, D.B.: What do we need to build explainable AI systems for the medical domain? (2017). https://doi.org/10.3109/14015439.2012.660499 CrossRef

29.

Holzinger, A., Schaupp, K., Eder-Halbedl, W.: An investigation on acceptance of ubiquitous devices for the elderly in a geriatric hospital environment: using the example of person tracking. In: Lecture Notes in Computer Science, vol. 5105, pp. 22–29. Springer, Berlin (2008). https://doi.org/10.1007/978-3-540-70540-6_3

30.

Holzinger, A., Searle, G., Wernbacher, M.: The effect of previous exposure to technology on acceptance and its importance in usability and accessibility engineering. Univers. Access Inf. Soc. 10(3), 245–260 (2011). https://doi.org/10.1007/s10209-010-0212-x CrossRef

31.

Jung, Y.: Hybrid-aware model for senior wellness service in smart home. Sensors (Switzerland) 17(5) (2017). https://doi.org/10.3390/s17051182 CrossRef

32.

Kitchenham, B.: Procedures for performing systematic reviews. Keele University, Keele, UK, TR/SE-0401, pp. 1–26 (2004)

33.

Komnakos, D., Vouyioukas, D., Maglogiannis, I., Constantinou, P.: Feasibility study of a joint e-health mobile high-speed and wireless sensor system. In: Proceedings of the 1st ACM International Conference on Pervasive Technologies Related to Assistive Environments, p. 1 (2008). https://doi.org/10.1145/1389586.1389615

34.

Kuijs, H., Rosencrantz, C., Reich, C.: A Context-aware, intelligent and flexible ambient assisted living platform architecture. In: Lee, Y., Westphall, C. (eds.) Cloud Computing—International Conference on Cloud Computing GRIDs and Virtualization, pp. 70–76. IARIA (2015)

35.

Machado, A., Pernas, A.M., Augustin, I., Thom, L.H., Wives, L.K., de Oliveira, J.P.: Situation-awareness as a key for proactive actions in ambient assisted living. In: Hammoudi, S., Maciaszek, L,, Cordeiro, J., Dietz, J. (eds.) Proceedings of the 15th International Conference on Enterprise Information Systems, pp. 418–426. ESEO Grp.; Inst Syst & Technologies Informat., Control & Commun.; Assoc. Advancement Artificial Intelligence; IEICE Special Interest Grp. Software Interprise Modelling; ACM Special Interest Grp. Management Informat Syst.; ACM Special Interest Grp. Comp. Human Inte. (2013). https://doi.org/10.5220/0004418004180426

36.

Matthew-Maich, N., Harris, L., Ploeg, J., Markle-Reid, M., Valaitis, R., Ibrahim, S., Gafni, A., Isaacs, S.: Designing, implementing, and evaluating mobile health technologies for managing chronic conditions in older adults: a scoping review. JMIR mHealth and uHealth 4(2), e29 (2016). https://doi.org/10.2196/mhealth.5127 CrossRef

37.

Mcheick, H.: Modeling context aware features for pervasive computing. Proc. Comput. Sci. 37, 135–142 (2014). https://doi.org/10.1016/j.procs.2014.08.022 CrossRef

38.

Michalakis, K., Caridakis, G.: IoT contextual factors on healthcare. Adv. Exp. Med. Biol. 989, 189–200 (2017). https://doi.org/10.1007/978-3-319-57348-9_16 CrossRef

39.

Mileo, A., Merico, D., Pinardi, S., Bisiani, R.: A logical approach to home healthcare with intelligent sensor-network support. Comput. J. 53(8), 1257–1276 (2010). https://doi.org/10.1093/comjnl/bxn074 CrossRef

40.

Mitchell, M., Meyers, C., Wang, A.I.A., Tyson, G.: ContextProvider: context awareness for medical monitoring applications. In: 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 2011, pp. 5244–5247 (2011).https://doi.org/10.1109/IEMBS.2011.6091297

41.

Mnatsakanyan, Z.R., Burkom, H.S., Hashemian, M.R., Coletta, M.A.: Distributed information fusion models for regional public health surveillance. Inf. Fusion 13(2), 129–136 (2012). https://doi.org/10.1016/j.inffus.2010.12.002 CrossRef

42.

Montori, F., Bedogni, L., Felice, M.D., Bononi, L.: Machine-to-machine wireless communication technologies for the internet of things: taxonomy, comparison and open issues. Pervasive Mob. Comput. 50, 56–81 (2018). https://doi.org/10.1016/j.pmcj.2018.08.002 CrossRef

43.

Mshali, H., Lemlouma, T., Magoni, D.: Adaptive monitoring system for e-health smart homes. Pervasive Mob. Comput. 43, 1–19 (2018). https://doi.org/10.1016/j.pmcj.2017.11.001 CrossRef

44.

Mshali, H., Lemlouma, T., Moloney, M., Magoni, D.: A survey on health monitoring systems for health smart homes. Int. J. Ind. Ergon. 66, 26–56 (2018). https://doi.org/10.1016/j.ergon.2018.02.002 CrossRef

45.

Nava-Muñoz, S., Morán, A.L.: CANoE: a context-aware notification model to support the care of older adults in a nursing home. Sensors 12(12), 11477–11504 (2012). https://doi.org/10.3390/s120911477 CrossRef

46.

Newcombe, L., Yang, P., Carter, C., Hanneghan, M.: Internet of Things enabled technologies for behaviour analytics in elderly person care: a survey. In: Proceedings—2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017, vol. 2018-Jan., pp. 863–870 (2018). https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.133

47.

O’Donoghue, J., Herbert, J.: Data management within mHealth environments. J. Data Inf. Qual. 4(1), 1–20 (2012). https://doi.org/10.1145/2378016.2378021 CrossRef

48.

Pasquier, T., Singh, J., Powles, J., Eyers, D., Seltzer, M., Bacon, J.: Data provenance to audit compliance with privacy policy in the Internet of Things. Pers. Ubiquitous Comput. 22(2), 333–344 (2018). https://doi.org/10.1007/s00779-017-1067-4 CrossRef

49.

Petticrew, M., Roberts, H.: Systematic Reviews in the Social Sciences: A Practical Guide. Blackwell, Malden, MA (2006). https://doi.org/10.1027/1016-9040.11.3.244

50.

Qi, J., Yang, P., Min, G., Amft, O., Dong, F., Xu, L.: Advanced Internet of Things for personalised healthcare systems: a survey. Pervasive Mob. Comput. 41, 132–149 (2017). https://doi.org/10.1016/j.pmcj.2017.06.018 CrossRef

51.

Rahmani, A.M., Gia, T.N., Negash, B., Anzanpour, A., Azimi, I., Jiang, M., Liljeberg, P.: Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: a fog computing approach. Future Gener. Comput. Syst. 78, 641–658 (2018). https://doi.org/10.1016/j.future.2017.02.014 CrossRef

52.

Rault, T., Bouabdallah, A., Challal, Y., Marin, F.: A survey of energy-efficient context recognition systems using wearable sensors for healthcare applications. Pervasive Mob. Comput. 37, 23–44 (2017). https://doi.org/10.1016/j.pmcj.2016.08.003 CrossRef

53.

Rey, E., Jain, A., Abdullah, S., Choudhury, T., Erickson, D.: Personalized stress monitoring: a smartphone-enabled system for quantification of salivary cortisol. Pers. Ubiquitous Comput. 22(4), 867–877 (2018). https://doi.org/10.1007/s00779-018-1164-z CrossRef

54.

Röcker, C., Ziefle, M., Holzinger, A.: From Computer Innovation to Human Integration: Current Trends and Challenges for Pervasive HealthTechnologies, pp. 1–17. Springer-Verlag, Berlin (2014)

55.

Roehrs, A., da Costa, C.A., da Rosa Righi, R., de Oliveira, K.S.F.: Personal health records: a systematic literature review. J. Med. Internet Res. 19(1) (2017). https://doi.org/10.2196/jmir.5876 CrossRef

56.

Sanchez-pi, N., Carb, J.: An evaluation method for context-aware systems in U-Health. In: 3rd International Symposium on Ambient Intelligence, pp. 219–226 (2012). https://doi.org/10.1007/978-3-642-28783-1_28 CrossRef

57.

Sannino, G., De Pietro, G.: A mobile system for real-time context-aware monitoring of patients’ health and fainting. Int. J. Data Min. Bioinform. 10(4), 407–423 (2014). https://doi.org/10.1504/IJDMB.2014.064891 CrossRef

58.

Santos, D.F., Gorgônio, K.C., Perkusich, A., Almeida, H.O.: A standard-based and context-aware architecture for personal healthcare smart gateways. J. Med. Syst. 40(10) (2016). https://doi.org/10.1007/s10916-016-0580-8

59.

gu Song, J., Jung, S., Kang, B.H., Hwang, D.J., Kim, S.: Design of context-aware middleware for mobile healthcare services. J. Chin. Inst. Eng. 35(5), 535–545 (2012). https://doi.org/10.1080/02533839.2012.679063 CrossRef

60.

Tavares, J., Barbosa, J., Cardoso, I., Costa, C., Yamin, A., Real, R.: Hefestos: an intelligent system applied to ubiquitous accessibility. Univ. Access Inf. Soc. 15(4), 589–607 (2016). https://doi.org/10.1007/s10209-015-0423-2 CrossRef

61.

Thomas, A., Moore, P., Evans, C., Shah, H., Sharma, M., Mount, S., Xhafa, F., Pham, H., Barolli, L., Patel, A., Wilcox, A., Chapman, C., Chima, P.: Smart care spaces: pervasive sensing technologies for at-home care. Int. J. Ad Hoc Ubiquitous Comput. 16(4), 268 (2014). https://doi.org/10.1504/IJAHUC.2014.064862 CrossRef

62.

Trebatoski, M., Davies, J., Revere, D., Dobbs, D.: Methods for leveraging a health information exchange for public health: lessons learned from the NW-PHIE experience. Online J. Public Health Inform. 2(2), 1–15 (2010). https://doi.org/10.5210/ojphi.v2i2.3211 CrossRef

63.

Wetzels, M., Ayoola, I., Bogers, S., Peters, P., Chen, W., Feijs, L.: Consume: a privacy-preserving authorisation and authentication service for connecting with health and wellbeing APIs. Pervasive Mob. Comput. 43, 20–26 (2018). https://doi.org/10.1016/j.pmcj.2017.11.002 CrossRef

64.

Zerkouk, M., Cavalcante, P., Mhamed, A., Boudy, J., Messabih, B.: Behavior and capability based access control model for personalized telehealthcare assistance. Mob. Netw. Appl. 19(3), 392–403 (2014). https://doi.org/10.1007/s11036-014-0516-9 CrossRef

65.

Zhang, H., Ali Babar, M.: Systematic reviews in software engineering: an empirical investigation. Inf. Softw. Technol. 55(7), 1341–1354 (2013). https://doi.org/10.1016/j.infsof.2012.09.008 CrossRef

66.

Ziefle, M., Rocker, C., Holzinger, A.: Medical technology in smart homes: exploring the user’s perspective on privacy, intimacy and trust. In: 2011 IEEE 35th Annual Computer Software and Applications Conference Workshops, pp. 410–415. IEEE (2011).https://doi.org/10.1109/COMPSACW.2011.75

Titel: Context awareness in healthcare: a systematic literature review
verfasst von: Luis Claudio Gubert
Cristiano André da Costa
Rodrigo da Rosa Righi
Publikationsdatum: 02.07.2019
Verlag: Springer Berlin Heidelberg
Erschienen in: Universal Access in the Information Society / Ausgabe 2/2020
Print ISSN: 1615-5289
Elektronische ISSN: 1615-5297
DOI: https://doi.org/10.1007/s10209-019-00664-z

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Weitere Artikel der Ausgabe 2/2020

Software switches: novel hands-free interaction techniques for quadriplegics based on respiration–machine interaction

Applying online competency-based learning and design-based learning to enhance the development of students’ skills in using PowerPoint and Word, self-directed learning readiness, and experience of online learning

Am I missing something?

Understanding the transitions between web interfaces designed to stimulate specific emotions

The intuitive grasp interface: design and evaluation of micro-gestures on the steering wheel for driving scenario

A systematic review of modalities in computer-based interventions (CBIs) for language comprehension and decoding skills of children with autism spectrum disorder (ASD)

Premium Partner