Abstract
The aging of the worldwide population has led to a growing prevalence of vascular diseases, negatively impacting national healthcare systems and patients. The application of information technologies in the health sector has the potential to allow the remote monitoring of patients and the personalization of healthcare. This work proposes the architecture for a remote monitoring platform that supports the self-management of vascular diseases in the context of the Inno4Health project, with the goal of stimulating the innovation in the continuous monitoring of the patients’ health. The platform aims to support health professionals and patients with vascular diseases through the continuous monitoring of their health condition and presentation of monitoring reports. Self-management tools will be provided to patients through the presentation of personalized recommendations adapted to their current health condition. By doing so, we believe it will be possible to improve the patients’ self-management of their disease as well as decrease the risk of disease-related complications.
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Notes
- 1.
Web page of the project: https://inno4health.eu/.
References
Song, P., et al.: Global, regional, and national prevalence and risk factors for peripheral artery disease in 2015: an updated systematic review and analysis. Lancet Glob. Health 7(8), e1020–e1030 (2019)
Nicolaides, A.N., Labropoulos, N.: Burden and suffering in chronic venous disease. Adv. Ther. 36(Suppl. 1), 1–4 (2019)
Norgren, L., Hiatt, W.R., Dormandy, J.A., Nehler, M.R., Harris, K.A., Fowkes, F.G.: Inter-society consensus for the management of peripheral arterial disease (TASC II). J. Vasc. Surg. 45(Suppl. S), S5–S67 (2007)
Rajathi, V., Bhavani, R., Jiji, W.: Varicose ulcer (C6) wound image tissue classification using multidimensional convolutional neural networks. Imaging Sci. J. 67, 1–11 (2019)
Abbott, C.A., et al.: Innovative intelligent insole system reduces diabetic foot ulcer recurrence at plantar sites: a prospective, randomised, proof-of-concept study. Lancet Digit. Health 1(6), e308–e318 (2019)
McDermott, M.M.: Exercise training for intermittent claudication. J. Vasc. Surg. 66(5), 1612–1620 (2017)
Kelechi, T.J., Johnson, J.J., Yates, S.: Chronic venous disease and venous leg ulcers: an evidence-based update. J. Vasc. Nurs. 33(2), 36–46 (2015)
Mulligan, E.P., Cook, P.G.: Effect of plantar intrinsic muscle training on medial longitudinal arch morphology and dynamic function. Man Ther. 18(5), 425–430 (2013)
Sartor, C.D., et al.: Effects of strengthening, stretching and functional training on foot function in patients with diabetic neuropathy: results of a randomized controlled trial. BMC Musculoskelet. Disord. 15, 137 (2014)
Haveman, M.E., et al.: Telemedicine in patients with peripheral arterial disease: is it worth the effort? Expert Rev. Med. Devices 16(9), 777–786 (2019)
Ata, R., et al.: VascTrac: a study of peripheral artery disease via smartphones to improve remote disease monitoring and postoperative surveillance. J. Vasc. Surg. 65, 115S-116S (2017)
Constant, N., et al.: A smartwatch-based service towards home exercise therapy for patients with peripheral arterial disease. In: 2019 IEEE International Conference on Smart Computing (SMARTCOMP), pp. 162–166 (2019)
Shalan, A., Abdulrahman, A., Habli, I., Tew, G., Thompson, A.: YORwalK: desiging a smartphone exercise application for people with intermittent claudication. Stud. Health Technol. Inform. 247, 311–315 (2018)
Costa, A., Julián, V., Novais, P.: Advances and trends for the development of ambient-assisted living platforms. Expert Syst. 34(2), e12163 (2017)
Costa, A., Rincon, J.A., Carrascosa, C., Julian, V., Novais, P.: Emotions detection on an ambient intelligent system using wearable devices. Future Gener. Comput. Syst. 92, 479–489 (2019)
Martinez-Martin, E., Costa, A., Cazorla, M.: PHAROS 2.0—A PHysical Assistant RObot System improved. Sensors 19(20), 4531 (2019)
Rincon, J.A., Costa, A., Novais, P., Julian, V., Carrascosa, C.: ME3CA: a cognitive assistant for physical exercises that monitors emotions and the environment. Sensors 20(3), 852 (2020)
McDermott, M.M., et al.: Unsupervised exercise and mobility loss in peripheral artery disease: a randomized controlled trial. J. Am. Heart Assoc. 4(5), e001659 (2015). (in Eng)
Vileikyte, L.: Diabetic foot ulcers: a quality of life issue. Diabetes Metab. Res. Rev. 17(4), 246–249 (2001)
Bali, M.: Drools JBoss Rules 5.X Developer’s Guide. Packt Publishing, Birmingham (2013)
Alharbi, R.F., Berri, J., El-Masri, S.: Ontology based clinical decision support system for diabetes diagnostic. In: 2015 Science and Information Conference (SAI), pp. 597–602 (2015)
Acknowledgements
This research work was developed under the project Inno4Health (EUREKA-ITEA3: 19008; POCI-01-0247-FEDER-069523) and by National Funds through FCT (Fundação para a Ciência e a Tecnologia) under the project UIDB/00760/2020. Ana Vieira is supported by national funds through FCT Ph.D. studentship with reference UI/BD/151115/2021.
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Vieira, A. et al. (2021). Defining an Architecture for a Remote Monitoring Platform to Support the Self-management of Vascular Diseases. In: De La Prieta, F., El Bolock, A., Durães, D., Carneiro, J., Lopes, F., Julian, V. (eds) Highlights in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection. PAAMS 2021. Communications in Computer and Information Science, vol 1472. Springer, Cham. https://doi.org/10.1007/978-3-030-85710-3_14
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