Abstract
The edge-cutting mobile technologies have allowed the expansion of m-health applications for both patients and doctors. However, the variety of technologies, platforms and general-purpose development frameworks make developers and researchers to spend a considerable amount of time in developing m-health apps from scratch. This papers presents an ongoing research project about the creation of a framework for assisting developers and researchers in creating m-health apps called FAMAP. This framework is presented for the first time in the current article. Among others, this framework contains components for respectively (1) collecting data, (2) visualizing data analytics, (3) automating the definition and management of questionnaires, (4) implementing agent-based decision support systems and (5) supporting multi-modal communication. To show the utility of the proposed framework, this article presents some well-known and in-progress m-health apps developed with this framework. This work is assessed by considering (a) the usage data to show the commitment of users in one of the apps, and (b) the downloads and ranking in stores of another of the apps.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Amalfitano, D., Amatucci, N., Memon, A.M., Tramontana, P., Fasolino, A.R.: A general framework for comparing automatic testing techniques of Android mobile apps. J. Syst. Softw. 125, 322–343 (2017)
Ekman, P.: An argument for basic emotions. Cogn. Emot. 6(3–4), 169–200 (1992)
Galesic, M.: Dropouts on the web: effects of interest and burden experienced during an online survey. J. Official Stat. 22(2), 313 (2006)
García-Magariño, I., Palacios-Navarro, G.: A model-driven approach for constructing ambient assisted-living multi-agent systems customized for Parkinson patients. J. Syst. Softw. 111, 34–48 (2016)
García-Magariño, I., Plaza, I.: ABS-MindHeart: an agent based simulator of the influence of mindfulness programs on heart rate variability. J. Comput. Sci. 19, 11–20 (2017)
García-Magariño, I., Plaza, I.: ABSEM: an agent-based simulator of emotions in mindfulness programs. Expert Syst. Appl. 84, 49–57 (2017)
García-Magariño, I., Gómez-Sanz, J.J., Pérez-Agüera, J.R.: A multi-agent based implementation of a Delphi process. In: Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems, vol. 3, pp. 1543–1546 (2008). International Foundation for Autonomous Agents and Multiagent Systems
García-Magariño, I., Rougemaille, S., Fuentes-Fernández, R., Migeon, F., Gleizes, M.P., Gómez-Sanz, J.: A tool for generating model transformations by-example in multi-agent systems. In: 7th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2009). Advances in Intelligent and Soft Computing, vol. 55, pp. 70–79. Springer (2009)
García-Magariño, I., Cossentino, M., Seidita, V.: A metrics suite for evaluating agent-oriented architectures. In: Proceedings of the 2010 ACM Symposium on Applied Computing, pp. 912–919. ACM (2010)
García-Magariño, I., Gómez-Rodríguez, A., González-Moreno, J.C., Palacios-Navarro, G.: PEABS: a process for developing efficient agent-based simulators. Eng. Appl. Artif. Intell. 46, 104–112 (2015)
García-Magariño, I., Lacuesta, R., Lloret, J.: Agent-based simulation of smart beds with Internet-of-Things for exploring Big Data analytics. IEEE Access (2017). https://doi.org/10.1109/ACCESS.2017.2764467
García-Magariño, I., Palacios-Navarro, G., Lacuesta, R.: TABSAOND: a technique for developing agent-based simulation apps and online tools with nondeterministic decisions. Simul. Modell. Pract. Theor. 77, 84–107 (2017)
Grundy, Q.H., Wang, Z., Bero, L.A.: Challenges in assessing mobile health app quality: a systematic review of prevalent and innovative methods. Am. J. Prev. Med. 51(6), 1051–1059 (2016)
Gutierrez, C., Garcia-Magariño, I.: A metrics suite for the communication of multi-agent systems. J. Phys. Agents 3(2), 7–14 (2009)
Lattie, E.G., Schueller, S.M., Sargent, E., Stiles-Shields, C., Tomasino, K.N., Corden, M.E., Begale, M., Karr, C.J., Mohr, D.C.: Uptake and usage of intellicare: a publicly available suite of mental health and well-being apps. Internet Interventions 4, 152–158 (2016)
Mani, M., Kavanagh, D.J., Hides, L., Stoyanov, S.R.: Review and evaluation of mindfulness-based iPhone apps. JMIR mHealth uHealth 3(3), 82 (2015)
Miah, S.J., Gammack, J., Hasan, N.: Extending the framework for mobile health information systems research: a content analysis. Inf. Syst. 69, 1–24 (2017)
Mukherjee, S., Mondal, I.: Future practicability of Android application development with new android libraries and frameworks. Int. J. Comput. Sci. Inf. Technol. 5(4), 5575–5579 (2014)
Olayinka, O., Kekeh, M., Sheth-Chandra, M., Akpinar-Elci, M.: Big Data knowledge in global health education. Ann. Global Health (2017). https://doi.org/10.1016/j.aogh.2017.09.005
Plaza García, I., Sánchez, C.M., Espilez, Á.S., García-Magariño, I., Guillen, G.A., García-Campayo, J.: Development and initial evaluation of a mobile application to help with mindfulness training and practice. Int. J. Med. Inform. 105, 59–67 (2017)
Schnall, R., Rojas, M., Bakken, S., Brown, W., Carballo-Dieguez, A., Carry, M., Gelaude, D., Mosley, J.P., Travers, J.: A user-centered model for designing consumer mobile health (mhealth) applications (apps). J. Biomed. Inf. 60, 243–251 (2016)
Selic, B.: The pragmatics of model-driven development. IEEE Softw. 20(5), 19–25 (2003)
Shastry, N., Mirajkar, A.M., Moodithaya, S.S., Halahalli, H.N.: Resting heart rate variability and cardiorespiratory fitness in healthy young adults. Indian J. Med. Spec. 8(1), 17–20 (2017)
Sicari, S., Rizzardi, A., Grieco, L., Piro, G., Coen-Porisini, A.: A policy enforcement framework for Internet of Things applications in the smart health. Smart Health 3–4, 39–74 (2017)
Wilkes, C., Kydd, R., Sagar, M., Broadbent, E.: Upright posture improves affect and fatigue in people with depressive symptoms. J. Behav. Ther. Exp. Psychiatry 54, 143–149 (2017)
Acknowledgments
We acknowledge the research project “Construcción de un framework para agilizar el desarrollo de aplicaciones móviles en el ámbito de la salud” funded by University of Zaragoza and Foundation Ibercaja with grant reference JIUZ-2017-TEC-03.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
García-Magariño, I., Gonzalez Bedia, M., Palacios-Navarro, G. (2018). FAMAP: A Framework for Developing m-Health Apps. In: Rocha, Á., Adeli, H., Reis, L.P., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 745. Springer, Cham. https://doi.org/10.1007/978-3-319-77703-0_83
Download citation
DOI: https://doi.org/10.1007/978-3-319-77703-0_83
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-77702-3
Online ISBN: 978-3-319-77703-0
eBook Packages: EngineeringEngineering (R0)