Publications

@article{caggianeseSeriousGamesInCloud2019,

title = {Serious Games and In-Cloud Data Analytics for the Virtualization and Personalization of Rehabilitation Treatments},

author = { Giuseppe Caggianese and Salvatore Cuomo and Massimo Esposito and Marco Franceschini and Luigi Gallo and Francesco Infarinato and Aniello Minutolo and Francesco Piccialli and Paola Romano},

doi = {10.1109/TII.2018.2856097},

issn = {1941-0050},

year  = {2019},

date = {2019-01-01},

journal = {IEEE Transactions on Industrial Informatics},

volume = {15},

number = {1},

pages = {517--526},

abstract = {During the last years, the significant increase in the number of patients in need of rehabilitation has generated an unsustainable economic impact on healthcare systems, implying a reduction in therapeutic supervision and support for each patient. To address this problem, this paper proposes a telerehabilitation system based on serious games and in-cloud data analytics services, in accordance with Industry 4.0 design principles regarding modularity, service orientation, decentralization, virtualization, and real-time capability. The system, specialized for poststroke patients, comprises components for real-time acquisition of patient's motor data and a decision support service for their analysis. Raw data, reports, and recommendations are made available on the cloud to clinical operators to remotely assess rehabilitation outcomes and dynamically improve therapies. Furthermore, the results of a pilot study on the clinical impact deriving from the adoption of the proposed solution, and of a qualitative analysis about its acceptance, are presented and discussed.},

keywords = {Artificial intelligence, Healthcare, Natural User Interfaces, Rehabilitation, Serious game, Stroke},

pubstate = {published},

tppubtype = {article}

}

@article{caggianese_serious_2019,

title = {Serious Games and In-Cloud Data Analytics for the Virtualization and Personalization of Rehabilitation Treatments},

author = {Giuseppe Caggianese and Salvatore Cuomo and Massimo Esposito and Marco Franceschini and Luigi Gallo and Francesco Infarinato and Aniello Minutolo and Francesco Piccialli and Paola Romano},

doi = {10.1109/TII.2018.2856097},

issn = {1941-0050},

year  = {2019},

date = {2019-01-01},

journal = {IEEE Transactions on Industrial Informatics},

volume = {15},

number = {1},

pages = {517–526},

abstract = {During the last years, the significant increase in the number of patients in need of rehabilitation has generated an unsustainable economic impact on healthcare systems, implying a reduction in therapeutic supervision and support for each patient. To address this problem, this paper proposes a telerehabilitation system based on serious games and in-cloud data analytics services, in accordance with Industry 4.0 design principles regarding modularity, service orientation, decentralization, virtualization, and real-time capability. The system, specialized for poststroke patients, comprises components for real-time acquisition of patient's motor data and a decision support service for their analysis. Raw data, reports, and recommendations are made available on the cloud to clinical operators to remotely assess rehabilitation outcomes and dynamically improve therapies. Furthermore, the results of a pilot study on the clinical impact deriving from the adoption of the proposed solution, and of a qualitative analysis about its acceptance, are presented and discussed.},

keywords = {Artificial intelligence, Healthcare, Natural User Interfaces, Rehabilitation, Serious game, Stroke},

pubstate = {published},

tppubtype = {article}

}