FrailSafe: An ICT Platform for Unobtrusive Sensing of Multi-Domain Frailty for Personalized Interventions
The implications of frailty in older adults' health status and autonomy necessitates the understanding and effective management of this widespread condition as a priority for modern societies. Despite its importance, we still stand far from early detection, effective management and prevention o...
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Veröffentlicht in: | IEEE journal of biomedical and health informatics 2020-06, Vol.24 (6), p.1557-1568 |
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creator | Zacharaki, Evangelia I. Deltouzos, Konstantinos Kalogiannis, Spyridon Kalamaras, Ilias Bianconi, Luca Degano, Cristiana Orselli, Roberto Montesa, Javier Moustakas, Konstantinos Votis, Konstantinos Tzovaras, Dimitrios Megalooikonomou, Vasileios |
description | The implications of frailty in older adults' health status and autonomy necessitates the understanding and effective management of this widespread condition as a priority for modern societies. Despite its importance, we still stand far from early detection, effective management and prevention of frailty. One of the most important reasons for this is the lack of sensitive instruments able to early identify frailty and pre-frailty conditions. The FrailSafe system provides a novel approach to this complex, medical, social and public health problem. It aspires to identify the most important components of frailty, construct cumulative metrics serving as biomarkers, and apply this knowledge and expertise for self-management and prevention. This paper presents a high-level overview of the FrailSafe system architecture providing details on the monitoring sensors and devices, the software front-ends for the interaction of the users with the system, as well as the back-end part including the data analysis and decision support modules. Data storage, remote processing and security issues are also discussed. The evaluation of the system by older individuals from 3 different countries highlighted the potential of frailty prediction strategies based on information and communication technology (ICT). |
doi_str_mv | 10.1109/JBHI.2020.2986918 |
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Despite its importance, we still stand far from early detection, effective management and prevention of frailty. One of the most important reasons for this is the lack of sensitive instruments able to early identify frailty and pre-frailty conditions. The FrailSafe system provides a novel approach to this complex, medical, social and public health problem. It aspires to identify the most important components of frailty, construct cumulative metrics serving as biomarkers, and apply this knowledge and expertise for self-management and prevention. This paper presents a high-level overview of the FrailSafe system architecture providing details on the monitoring sensors and devices, the software front-ends for the interaction of the users with the system, as well as the back-end part including the data analysis and decision support modules. Data storage, remote processing and security issues are also discussed. The evaluation of the system by older individuals from 3 different countries highlighted the potential of frailty prediction strategies based on information and communication technology (ICT).</description><identifier>ISSN: 2168-2194</identifier><identifier>EISSN: 2168-2208</identifier><identifier>DOI: 10.1109/JBHI.2020.2986918</identifier><identifier>PMID: 32287028</identifier><identifier>CODEN: IJBHA9</identifier><language>eng</language><publisher>PISCATAWAY: IEEE</publisher><subject>Accelerometry ; Accidental Falls ; Aged ; ageing population ; Autonomy ; Biomarkers ; Biomedical monitoring ; Computer architecture ; Computer Communication Networks ; Computer Science ; Computer Science, Information Systems ; Computer Science, Interdisciplinary Applications ; Data analysis ; Data storage ; Decision analysis ; decision support system ; Decision Support Techniques ; Frail Elderly ; Frailty ; Frailty - diagnosis ; Health monitoring system ; Home Care Services ; Humans ; Life Sciences & Biomedicine ; Management ; Mathematical & Computational Biology ; Medical Informatics ; Medical services ; Monitoring ; Monitoring instruments ; Monitoring, Ambulatory - methods ; Older people ; Prevention ; Public health ; Science & Technology ; Security ; sensing devices ; Sensor systems ; Signal Processing, Computer-Assisted ; Technology ; virtual patient model</subject><ispartof>IEEE journal of biomedical and health informatics, 2020-06, Vol.24 (6), p.1557-1568</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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Despite its importance, we still stand far from early detection, effective management and prevention of frailty. One of the most important reasons for this is the lack of sensitive instruments able to early identify frailty and pre-frailty conditions. The FrailSafe system provides a novel approach to this complex, medical, social and public health problem. It aspires to identify the most important components of frailty, construct cumulative metrics serving as biomarkers, and apply this knowledge and expertise for self-management and prevention. This paper presents a high-level overview of the FrailSafe system architecture providing details on the monitoring sensors and devices, the software front-ends for the interaction of the users with the system, as well as the back-end part including the data analysis and decision support modules. Data storage, remote processing and security issues are also discussed. The evaluation of the system by older individuals from 3 different countries highlighted the potential of frailty prediction strategies based on information and communication technology (ICT).</description><subject>Accelerometry</subject><subject>Accidental Falls</subject><subject>Aged</subject><subject>ageing population</subject><subject>Autonomy</subject><subject>Biomarkers</subject><subject>Biomedical monitoring</subject><subject>Computer architecture</subject><subject>Computer Communication Networks</subject><subject>Computer Science</subject><subject>Computer Science, Information Systems</subject><subject>Computer Science, Interdisciplinary Applications</subject><subject>Data analysis</subject><subject>Data storage</subject><subject>Decision analysis</subject><subject>decision support system</subject><subject>Decision Support Techniques</subject><subject>Frail Elderly</subject><subject>Frailty</subject><subject>Frailty - diagnosis</subject><subject>Health monitoring system</subject><subject>Home Care Services</subject><subject>Humans</subject><subject>Life Sciences & Biomedicine</subject><subject>Management</subject><subject>Mathematical & Computational Biology</subject><subject>Medical Informatics</subject><subject>Medical services</subject><subject>Monitoring</subject><subject>Monitoring instruments</subject><subject>Monitoring, Ambulatory - methods</subject><subject>Older people</subject><subject>Prevention</subject><subject>Public health</subject><subject>Science & Technology</subject><subject>Security</subject><subject>sensing devices</subject><subject>Sensor systems</subject><subject>Signal Processing, Computer-Assisted</subject><subject>Technology</subject><subject>virtual patient model</subject><issn>2168-2194</issn><issn>2168-2208</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><sourceid>AOWDO</sourceid><sourceid>ARHDP</sourceid><sourceid>EIF</sourceid><recordid>eNqNkV9L3TAYh4tsqDg_wBiMwG4E6dmbpPm3O1fnPMMxQb0uaZuOSJu4JFXcp1_qOTrY1XKRhPD8foT3KYq3GFYYg_r47fP5ekWAwIooyRWWO8U-wVyWhIB89XzHqtorDmO8hbxkflJ8t9ijhEgBRO4X9ixoO17pwXxCJw6t62t0Oeo0-DChvKEb59sU5mjvDboyLlr3E_kBfZ_HZMtTP2nr0FNFenziL02I3unR_jY9Wrtkwr1xyXoX3xSvBz1Gc7g9D4qbsy_X9Xl58ePruj65KDuqRCpl2wMIKaFVXIAggCnXGmvBhZbtAC1jMFDoQA6gq6rXVKu-EpgzKkARRg-Ko03vXfC_ZhNTM9nYmXHUzvg5NoQqwCzPTGX0wz_orZ9D_n2mKgwMC6xkpvCG6oKPMZihuQt20uGxwdAsKppFRbOoaLYqcub9tnluJ9O_JJ4Hn4HjDfBgWj_EzhrXmRcsu2IVUYzzRVuVafn_dG2TXiZe-9mlHH23iVpj_kYU8IoJSv8AYzirlw</recordid><startdate>20200601</startdate><enddate>20200601</enddate><creator>Zacharaki, Evangelia I.</creator><creator>Deltouzos, Konstantinos</creator><creator>Kalogiannis, Spyridon</creator><creator>Kalamaras, Ilias</creator><creator>Bianconi, Luca</creator><creator>Degano, Cristiana</creator><creator>Orselli, Roberto</creator><creator>Montesa, Javier</creator><creator>Moustakas, Konstantinos</creator><creator>Votis, Konstantinos</creator><creator>Tzovaras, Dimitrios</creator><creator>Megalooikonomou, Vasileios</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Despite its importance, we still stand far from early detection, effective management and prevention of frailty. One of the most important reasons for this is the lack of sensitive instruments able to early identify frailty and pre-frailty conditions. The FrailSafe system provides a novel approach to this complex, medical, social and public health problem. It aspires to identify the most important components of frailty, construct cumulative metrics serving as biomarkers, and apply this knowledge and expertise for self-management and prevention. This paper presents a high-level overview of the FrailSafe system architecture providing details on the monitoring sensors and devices, the software front-ends for the interaction of the users with the system, as well as the back-end part including the data analysis and decision support modules. Data storage, remote processing and security issues are also discussed. 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subjects | Accelerometry Accidental Falls Aged ageing population Autonomy Biomarkers Biomedical monitoring Computer architecture Computer Communication Networks Computer Science Computer Science, Information Systems Computer Science, Interdisciplinary Applications Data analysis Data storage Decision analysis decision support system Decision Support Techniques Frail Elderly Frailty Frailty - diagnosis Health monitoring system Home Care Services Humans Life Sciences & Biomedicine Management Mathematical & Computational Biology Medical Informatics Medical services Monitoring Monitoring instruments Monitoring, Ambulatory - methods Older people Prevention Public health Science & Technology Security sensing devices Sensor systems Signal Processing, Computer-Assisted Technology virtual patient model |
title | FrailSafe: An ICT Platform for Unobtrusive Sensing of Multi-Domain Frailty for Personalized Interventions |
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