Smart Bear
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Digital health innovations – Good practice guide for obtaining consent for the use of personal health information for research and innovations
CEN WORKSHOP AGREEMENT CWA 17933:2023. ICS 35.240.80. EUROPEAN COMMITTEE FOR STANDARDIZATION. June 2023.
Pseudonymisation in the context of GDPR-compliant medical research
Basdekis, I., Kloukinas, C., Agostinho, C., Vezakis, I., Pimenta, A., Gallo, L., & Spanoudakis, G. (2023, April). Pseudonymisation in the context of GDPR-compliant medical research. In 2023 19th International Conference on the Design of Reliable Communication Networks (DRCN) (pp. 1-6). IEEE.
Predicting and Explaining Hearing Aid Usage Using Encoder-Decoder with Attention Mechanism and SHAP
Su, Q., & Iliadou, E. (2022, October). Predicting and Explaining Hearing Aid Usage Using Encoder-Decoder with Attention Mechanism and SHAP. In 2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) (pp. 308-315). IEEE.
HL7 FHIR-35948
Contribution to the HL7 FHIR standard, to expand SampledData to allow for variable timing. FHIR-35948. Applied on 2022-09-21.
Healthier and Independent Living of the Elderly: Interoperability in a Cross-Project Pilot
Agostinho, C., Pimenta, A., Marques, M., Tsiouris, K. M., Kalatzis, F., Nikitas, C., Iliadou, E., Occhipinti, M., Kouris, I., Koutsouris, D., Basdekis, I., Koloutsou, K., Gallo, L., De Pietro, G., & Jardim-Goncalves, R. (2022, September). Healthier and Independent Living of the Elderly: Interoperability in a Cross-Project Pilot. In CEUR Workshop Proceedings (pp. 1-4). CEUR.
Overview of the SMART-BEAR Technical Infrastructure
Peretokin, V., Basdekis, I., Kouris, I., Maggesi, J., Sicuranza, M., Su, Q., Acebes, A., Bucur, A., Mukkala, V.J.R., Pozdiakov, K., Kloukinas, C., Koutsouris, D.D., Iliadou, E., Leontsinis, I., Gallo, L., De Pietro, G., & Spanoudakis, G. (2022, April). Overview of the SMART-BEAR Technical Infrastructure. In Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health-ICT4AWE, (pp. 117-125). SciTePress. BEST PAPER AWARD
SNOMED 1202026006
Contribution to the SNOMED standard, to include the observable entity “number of exercise repetitions completed”. SNOMED code 1202026006, included since 2022-02-28.
Older Adults’ and Clinicians’ Perspectives on a Smart Health Platform for the Aging Population: Design and Evaluation Study
Cristiano, A., Musteata, S., De Silvestri, S., Bellandi, V., Ceravolo, P., Cesari, M., Azzolino, D., Sanna, A., & Trojaniello, D. (2022). Older Adults’ and Clinicians’ Perspectives on a Smart Health Platform for the Aging Population: Design and Evaluation Study. JMIR aging, 5(1), e29623.
A methodology to engineering continuous monitoring of intrinsic capacity for elderly people
Bellandi, V., Ceravolo, P., Damiani, E., Maghool, S., Cesari, M., Basdekis, I., Iliadou, E., & Marzan, M. D. (2022). A methodology to engineering continuous monitoring of intrinsic capacity for elderly people. Complex & Intelligent Systems, 8(5), 3953-3971.
A Big Data Infrastructure in Support of Healthy and Independent Living: A Real Case Application
Bellandi, V. (2022). A Big Data Infrastructure in Support of Healthy and Independent Living: A Real Case Application. In Artificial Intelligence and Machine Learning for Healthcare: Vol. 2: Emerging Methodologies and Trends (pp. 95-134). Cham: Springer International Publishing.
Profiling hearing aid users through big data explainable artificial intelligence techniques
Iliadou, E., Su, Q., Kikidis, D., Bibas, T., & Kloukinas, C. (2022). Profiling hearing aid users through big data explainable artificial intelligence techniques. Frontiers in Neurology, 13.
Engineering Continuous Monitoring of Intrinsic Capacity for Elderly People
Bellandi, V., Basdekis, I., Ceravolo, P., Cesari, M., Damiani, E., Iliadou, E., Marzan, M.D. & Maghool, S. (2021, September). Engineering continuous monitoring of intrinsic capacity for elderly people. In 2021 IEEE International Conference on Digital Health (ICDH) (pp. 166-171). IEEE.
LOINC 96935-2
Contribution to the LOINC standard, to add the code 96935-2 “Heart rate unspecified time minimum by Pedometer”. First released on Version 2.70 (2021-06-10).
Reference Architectures, Platforms, and Pilots for European Smart and Healthy Living—Analysis and Comparison
Grguric, A., Khan, O., Ortega-Gil, A., Markakis, E. K., Pozdniakov, K., Kloukinas, C., Medrano-Gil, A.M., Gaeta, E., Fico, G., & Koloutsou, K. (2021). Reference Architectures, Platforms, and Pilots for European Smart and Healthy Living—Analysis and Comparison. Electronics, 10(14), 1616.
A design methodology for matching smart health requirements
Bellandi, V., Ceravolo, P., Cristiano, A., Damiani, E., Sanna, A., & Trojaniello, D. (2021). A design methodology for matching smart health requirements. Concurrency and Computation: Practice and Experience, 33(22), e6062.
IoT Platform for Ageing Society: the SMART BEAR Project
Cristiano, A., De Silvestri, S., Musteata, S., Sanna, A., Trojaniello, D., Bellandi, V., Ceravolo, P., & Cesari, M. (2021). IoT Platform for Ageing Society: the SMART BEAR Project. In eTELEMED 2021 The Thirteenth International Conference on eHealth, Telemedicine, and Social Medicine. IARIA.
A case study in smart healthcare platform design
Bellandi, V., Ceravolo, P., & Ehsanpour, M. (2020, October). A case study in smart healthcare platform design. In 2020 IEEE World Congress on Services (SERVICES) (pp. 7-12). IEEE.
Biosensors and Internet of Things in smart healthcare applications: challenges and opportunities
Pateraki, M., Fysarakis, K., Sakkalis, V., Spanoudakis, G., Varlamis, I., Maniadakis, M., Lourakis, M., Ioannidis, S., Cummins, N., Schiller, B., Loutsetis, E., & Koutsouris, D. (2020). Biosensors and Internet of Things in smart healthcare applications: Challenges and opportunities. Wearable and Implantable Medical Devices, 25-53.