DOREMI - Interim Progress Report (Period 2)
Rial M., Benvenuti C., Vozzi F., Parodi O., Fortunati L., Palumbo F.
The DOREMI Scientific and Technological objectives of this period is: 1.2 . Development of preliminary version for the WSN environment, smart environment for context awareness and gamified environment (MS4, M18).Source: Project report, DOREMI, Deliverable D1.3.1, 2015
Project(s): DOREMI

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Smart devices and applications for healthy ageing
Ferro E., Parodi O.
The UCD Institute of Food and Health tells us that cognitive decline, malnutrition and sedentariness are the main causes of morbidity and premature mortality in older people. However, cognitive games, sensor networks, location systems and other smart devices developed under the DOREMI project could help counter these evils.Source: Research EU Results Magazine 57 (2016): 16–17.
Project(s): DOREMI

See at: CNR ExploRA

2019 Conference article Open Access

See at: dl.acm.org | ISTI Repository | doi.org | CNR ExploRA

DOREMI - Data preparation and models assessment specification
Bacciu D., Gallicchio C., Micheli A., Fortunati L., Palumbo F., Kropf J., Chessa S., Ferro E., Barsocchi P., Parodi O.
The deliverable D4.1, titled "Data preparation and models assessment specification", discusses the requirements of the "Smart Environment for Context Awareness" system developed as part of WP4. It provides the specification of the services implemented by the system together with a discussion of the metrics and validation schemes used to assess the performance of the WP4 components. The document reports details on the computational methodology that will be followed to realize the WP4 services and provides guidelines for the collection of annotated training data for activity recognition purposes.Source: Project report, DOREMI, Deliverable D4.1, 2014
Project(s): DOREMI

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Smart environments and context-awareness for lifestyle management in a healthy active ageing framework.
Bacciu D., Chessa S., Gallicchio C., Micheli A., Ferro E., Fortunati L., Palumbo F., Parodi O., Vozzi F., Hanke S., Kropf J., Kreiner K.
Health trends of elderly in Europe motivate the need for techno- logical solutions aimed at preventing the main causes of morbidity and prem- ature mortality. In this framework, the DOREMI project addresses three im- portant causes of morbidity and mortality in the elderly by devising an ICT- based home care services for aging people to contrast cognitive decline, sed- entariness and unhealthy dietary habits. In this paper, we present the gen- eral architecture of DOREMI, focusing on its aspects of human activity recog- nition and reasoning.Source: ISTI Technical reports, 2015
Project(s): DOREMI

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2015 Conference article Open Access

Smart environments and context-awareness for lifestyle management in a healthy active ageing framework
Bacciu D., Chessa S., Gallicchio C., Micheli A., Ferro E., Fortunati L., Palumbo F., Parodi O., Vozzi F., Hanke S., Kropf J., Kreiner K.
Health trends of elderly in Europe motivate the need for technological solutions aimed at preventing the main causes of morbidity and premature mortality. In this framework, the DOREMI project addresses three important causes of morbidity and mortality in the elderly by devising an ICT-based home care services for aging people to contrast cognitive decline, sedentariness and unhealthy dietary habits. In this paper, we present the general architecture of DOREMI, focusing on its aspects of human activity recognition and reasoning.Source: EPIA 2015 - Progress in Artificial Intelligence. 17th Portuguese Conference on Artificial Intelligence, pp. 54–66, Coimbra, Portugal, 8-11 September 2015
DOI: 10.1007/978-3-319-23485-4_6
Project(s): DOREMI
Metrics:

See at: ISTI Repository | doi.org | link.springer.com | CNR ExploRA

Detecting socialization events in ageing people: the experience of the DOREMI project
Bacciu D., Chessa S., Ferro E., Fortunati L., Gallicchio C., La Rosa D., Llorente M., Micheli A., Palumbo F., Parodi O., Valenti A., Vozzi F.
The detection of socialization events is useful to build indicators about social isolation of people, which is an important indicator in e-health applications. On the other hand, it is rather difficult to achieve with non-invasive solutions. This paper reports about the currently work-in-progress on the technological solution for the detection of socialization events adopted in the DOREMI project.Source: 12th International Conference on Intelligent Environments, pp. 132–135, London, UK, 14-16 September 2016
DOI: 10.1109/ie.2016.28
Project(s): DOREMI
Metrics:

See at: doi.org | ieeexplore.ieee.org | CNR ExploRA

DOREMI - Final report from the pilot site
Musian D., Alvino S., Vozzi F., Parodi O., Parolini M., Giugni F., Sandys R., Lupiáñez-Villanueva F., Ferro E., Fauli C., Ascolese A., Palumbo F., Gallicchio C., Scase M., Bacciu D., Micheli A., Kropf J., Marandure B., Monton E., Hanke S., Kreiner K., Dutton R., Northwood D., Hall S., Cannon D., La Rosa D.
The deliverable reports all the technical and clinical results reached in the final validation phase according to the plan elaborated in WP2 and described in D2.3. The report will include a detailed descriptions of the preparatory and implementation activities of the pilot studies.Source: Project report, DOREMI, Deliverable D6.6, 2016
Project(s): DOREMI

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DOREMI - Interim Progress Report (Period 1)
Rial M., Benvenuti C., Vozzi F., Bagnesi C., Borbotti M., Colombo M., Parodi O., Ferro E., Fortunati L., Palumbo F.
The DOREMI Project context and Scientific and Technological objectives are: ? Development of an unobtrusive monitoring environment keeping track of the daily activities of the elderly people at risk of malnutrition, sedentariness and cognitive decline according to the "active ageing lifestyle protocol"(MS1, M8) established by the specialist. ? Development of a smart environment for context awareness and service orientation (MS6, M33) for the dynamic analysis of elderly behaviour and compliance to the active ageing lifestyle protocol. ? Development of a gamified environment to engage the elderly and stimulate social interaction and physical activity (MS7, M24). ? Proof the concept and validate (MS8, M28 and MS9, M36) the effectiveness and impact of the proposed solution in a pilot study carried out in Italy (SI4LIFE) and UK (Extra and Accord), involving both elderly users and care providers.Source: Project report, DOREMI, Deliverable D1.2.1, 2014
Project(s): DOREMI

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DOREMI - Annual periodic report (Period 1)
Rial M., Benvenuti C., Vozzi F., Bagnesi C., Colombo M., Parodi O., Ferro E., Fortunati L., Palumbo F.
The DOREMI Project context and Scientific and Technological objectives are: ï,· Development of an unobtrusive monitoring environment keeping track of the daily activities of the elderly people at risk of malnutrition, sedentariness and cognitive decline according to the "active ageing lifestyle protocol"(MS1, M8) established by the specialist. ï,· Development of a smart environment for context awareness and service orientation (MS6, M33) for the dynamic analysis of elderly behaviour and compliance to the active ageing lifestyle protocol. ï,· Development of a gamified environment to engage the elderly and stimulate social interaction and physical activity (MS7, M24). ï,· Prove the concept and validate (MS8, M28 and MS9, M36) the effectiveness and impact of the proposed solution in a pilot study carried out in Italy (SI4LIFE) and UK (Extra and Accord), involving both elderly users and care providers.Source: Project report, DOREMI, Deliverable D1.2.2, 2014
Project(s): DOREMI

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DOREMI - Dissemination Plan
Lupiáñez-Villanueva F., Vozzi F., Rial M., Morales A., Parodi O., Ferro E., Fortunati L., Palumbo F.
The deliverable D7.1 "Dissemination plan" aims at formulating the project's dissemination strategy and plan, identifying the specific approaches best suited for contact and interaction with target groups, considering both new (e.g. internet exploitation; cross-posting, cycling references, etc.) and traditional (e.g. press release, newsletters, conferences, etc.) dissemination avenues. The report starts with the identification of the key stakeholders of the projects and the main dissemination channels and communication strategy that are suitable for them to be engaged in the project's results acquisition and diffusion in the scientific community and at industrial level and to the general audience. Then a dissemination plan will be described for the whole project period. The initial plan reported in this report as to be considered an initial attempt to get advantages of the expertise and the network of contacts of the project partners. The information contained in the plan will be periodically updated and revised according to the project's achievements.Source: Project report, DOREMI, Deliverable D7.1, 2014
Project(s): DOREMI

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DOREMI - Annual periodic report (Period2)
Rial M., Benvenuti C., Vozzi F., Parodi O., Carpeggiani C., Morales M. A., Bagnesi C., Conte R., Ferro E., Fortunati L., Palumbo F.
The DOREMI Project context and Scientific and Technological objectives, for Period 1, were: . Development of an unobtrusive monitoring environment keeping track of the daily activities of the elderly people at risk of malnutrition, sedentariness and cognitive decline according to the "active ageing lifestyle protocol"(MS1, M8) established by the specialist. . Final Selection of the sensors (MS2, M9) according to parameters identified in the protocol. . Preliminary data set collected from the selected sensors available for the data driven model (MS3, M12). The Scientific and Technological objectives, for Period 2, have been: Development of a preliminary version of the WSN environment, of Smart environment for Context awareness and of gamified environment system (MS4, M18) with involvement of WP3, WP4 and WP5. Development of sensors prototypes ready for the validation activities, WSN environment and auto configuration system (MS5, M24) under WP3. Development of the social and gamified environment ready to be integrated in DOREMI system (MS7, M24) (WP5).Source: Project report, DOREMI, Deliverable D1.3.2, 2015
Project(s): DOREMI

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A reservoir computing approach for balance assessment
Gallicchio C., Micheli A., Fortunati L., Vozzi F., Parodi O.
A relevant aspect in the field of health monitoring is repre- sented by the evaluation of balance stability in the elderly. The Berg Bal- ance Scale (BBS) represents a golden standard test for clinical assessment of balance stability. Recently, the Wii Balance Board has been success- fully validated as an effective tool for the analysis of static balance-related features such as the duration or the speed of assessment of patient's center of pressure. In this paper we propose an innovative unobtrusive approach for automatic evaluation of balance assessment, by analyzing the whole temporal information generated by the balance board. In par- ticular, using Recurrent Neural Networks implemented according to the Reservoir Computing paradigm, we propose to estimate the BBS score of a patient from the temporal data gathered during the execution on the balance board of one simple BBS exercise. The experimental assessment of the proposed approach on real-world data shows promising results.Source: ISTI Technical reports, 2015
Project(s): DOREMI

See at: CNR ExploRA

Reliability and human factors in Ambient Assisted Living environments. The DOREMI case study
Palumbo F., La Rosa D., Ferro E., Bacciu D., Gallicchio C., Micheli A., Chessa S., Vozzi F., Parodi O.
Malnutrition, sedentariness, and cognitive decline in elderly people represent the target areas addressed by the DOREMI project. It aimed at developing a systemic solution for elderly, able to prolong their functional and cognitive capacity by empowering, stimulating, and unobtrusively monitoring the daily activities according to well-defined "Active Ageing" life-style protocols. Besides the key features of DOREMI in terms of technological and medical protocol solutions, this work is focused on the analysis of the impact of such a solution on the daily life of users and how the users' behaviour modifies the expected results of the system in a long-term perspective. To this end, we analyse the reliability of the whole system in terms of human factors and their effects on the reliability requirements identified before starting the experimentation in the pilot sites. After giving an overview of the technological solutions we adopted in the project, this paper concentrates on the activities conducted during the two pilot site studies (32 test sites across UK and Italy), the users' experience of the entire system, and how human factors influenced its overall reliability.Source: Journal of Reliable Intelligent Environments 3 (2017): 139–157. doi:10.1007/s40860-017-0042-1
DOI: 10.1007/s40860-017-0042-1
Project(s): DOREMI
Metrics:

See at: Journal of Reliable Intelligent Environments | link.springer.com | CNR ExploRA

A reservoir computing approach for balance assessment
Gallicchio C., Micheli A., Pedrelli L., Fortunati L., Vozzi F., Parodi O.
A relevant aspect in the field of health monitoring is represented by the evaluation of balance stability in the elderly. The Berg Balance Scale (BBS) represents a golden standard test for clinical assessment of balance stability. Recently, the Wii Balance Board has been successfully validated as an effective tool for the analysis of static balance-related features such as the duration or the speed of assessment of patient's center of pressure. In this paper we propose an innovative unobtrusive approach for automatic evaluation of balance assessment, by analyzing the whole temporal information generated by the balance board. In particular, using Recurrent Neural Networks implemented according to the Reservoir Computing paradigm, we propose to estimate the BBS score of a patient from the temporal data gathered during the execution on the balance board of one simple BBS exercise. The experimental assessment of the proposed approach on real-world data shows promising results.Source: 1st ECML PKDD Workshop on Advanced Analysis and Learning on Temporal Data, AALTD 2015, pp. 65–77, 11/09/2015
DOI: 10.1007/978-3-319-44412-3_5
Project(s): DOREMI
Metrics:

See at: doi.org | link.springer.com | CNR ExploRA

Preventing cognitive decline, sedentariness and malnutrition: the DOREMI approach
Parodi O., Vozzi F., Ferro E., Fortunati L., Micheli A., Bacciu D., Gallicchio C., Chessa S., Ascolese A.
All countries in Europe are experiencing an ageing of their populations, with a decrease in the number of people of working age per retiree. Health trends among the elderly are mixed: severe disability is declining in some countries but increasing in others, while mild disability and chronic disease are generally increasing. As a consequence, long-term care costs are certain to increase with the ageing of the population, unless appropriate measures are implemented and elderly people empowered to follow them. According to the University College Dublin Institute of Food and Health, three are the most notable health promotion and disease prevention programs that target the main causes of morbidity and premature mortality: malnutrition, sedentariness, and cognitive decline, conditions that affect the quality of life of elderly people and drive to disease progression. These three features represent the target areas in the DOREMI (Decrease of cOgnitive decline, malnutRition and sedEntariness by elderly empowerment in lifestyle Management and social Inclusion) Project. The project aims at developing a systemic solution for elderly, able to prolong the functional and cognitive capacity by empowering, stimulating and unobtrusively monitoring the daily activities according to well-defined "Active Ageing" lifestyle protocols. The project joins the concept of prevention centered on the elderly, characterized by an unified vision of being elderly today, namely, a promotion of the health by a constructive interaction among mind, body and social engagement.Source: ISTI Technical reports, 2015
Project(s): DOREMI

See at: CNR ExploRA

Healthy active ageing supported by technological environment: the DOREMI experience
Vozzi F., Fortunati L., Gallicchio C., Palumbo F., Micheli A., Chessa S., Ferro E., Parodi O.
Introduction: European population aging requires the design of innovative solutions able to support, in term of quality and time, its health status. DOREMI project has developed an innovative platform able to stimulate and monitor elder people as also to be customized on user requirements. Methods: 34 older people (age 65-80 years) were involved in UK and Italy DOREMI trials (3 months). Subjects were characterized at baseline in terms of physical activity (SPPB, PASE test, daily steps/ meters, 6MWT), hemodynamic and biochemical parameters (blood pressure, HR, lipid profile, glycaemia, etc.), dietary habits (caloric intake) and balance assessment (BERG scale). Through the DOREMI technological platform, users were: stimulated to perform indoor physical activity protocol (exergame on tablet); monitored by DOREMI bracelet (heart rate monitoring); invited to fill diet e-diary, receiving nutritional advice provided by the expert through the same application; tested for balance by item-10 BERG test (DOREMI balance board). At the end of trial, users underwent the same test battery of baseline. Results: In DOREMI population an overall increase in physical activity was observed, with a significant improvement in hemodynamic (decrease in blood pressure and HR at 6MWT) and biochemical parameters (decrease in LDL, triglycerides, total cholesterol). The overall effect of dietary advice and physical activity protocol on subject's balance is under investigation. Key conclusions: An integrated approach of physical activity and diet, supported by DOREMI technological platform, represents an innovative approach to stimulate healthy and active ageing of population, with a potential cost-reduction for European health care systems in middle-long period.Source: European geriatric medicine (Print) 7 (2016). doi:10.1016/S1878-7649(16)30148-6
DOI: 10.1016/s1878-7649(16)30148-6
Project(s): DOREMI
Metrics:

See at: www.sciencedirect.com | CNR ExploRA

2016 Contribution to journal Open Access

ICT solution for balance assessment in elderly: the DOREMI system validation and applicability
Vozzi F., Fortunati L., Gallicchio C., Palumbo F., Pedrelli L., Micheli A., Ferro E., Lanzisera S., Carotenuto F., Illario M., Parodi O.
Introduction: Aging process is characterized by decline of body functions: one of the major risks is represented by falls. Several screening tools/tests have been used to assess stability. We describe the integration between single-item Berg scale, Wii Balance Board and neural networks to create a new platform for balance assessment. Methods: Two cohorts of older people (age 65-80) were enrolled for DOREMI balance assessment. The BERG balance score and anthropometric parameters (weight, height, BMI) were assessed for each subject. Group 1 (25 participants) showed a BERG score between 41 and 56; Group 2 (50 participants), enrolled in collaboration with PERSSILAA project, had a wider score (20-56) allowing to test accuracy of DOREMI tool in people having severe instability. Item-10 of BERG scale has been performed on the Wii balance board, inviting participant to turn the head to look behind over toward the right shoulder and then over the left. Data signals have been collected by custom developed software and analysed by neural network system for human activity recognition. Results: In Group 1, total BERG score estimated using item-10 data presented a strong correlation with individual total BERG score test; in Group 2 data analysis is under investigation. Key conclusions: DOREMI balance assessment is simple, automated, cost-effective and time-saving ICT solution for prevention of frailty. Once validated in a broad range of BERG scale, this system could objectively predict subjects at higher risks of falls, as well as improvement in stability and/or positive evolution in physical health status after specific treatments.Source: European geriatric medicine (Print) 7 (2016): 750–751. doi:10.1016/S1878-7649(16)30148-6
DOI: 10.1016/s1878-7649(16)30148-6
Project(s): DOREMI
Metrics:

See at: www.sciencedirect.com | CNR ExploRA

2017 Journal article Open Access

A learning system for automatic Berg Balance Scale score estimation
Bacciu D., Chessa S., Gallicchio C., Micheli A., Pedrelli L., Ferro E., Fortunati L., La Rosa D., Palumbo F., Vozzi F., Parodi O.
The objective of this work is the development of a learning system for the automatic assessment of balance abilities in elderly people. The system is based on estimating the Berg Balance Scale (BBS) score from the stream of sensor data gathered by a Wii Balance Board. The scientific challenge tackled by our investigation is to assess the feasibility of exploiting the richness of the temporal signals gathered by the balance board for inferring the complete BBS score based on data from a single BBS exercise. The relation between the data collected by the balance board and the BBS score is inferred by neural networks for temporal data, modeled in particular as Echo State Networks within the Reservoir Computing (RC) paradigm, as a result of a comprehensive comparison among different learning models. The proposed system results to be able to estimate the complete BBS score directly from temporal data on exercise #10 of the BBS test, with ?10 s of duration. Experimental results on real-world data show an absolute error below 4 BBS score points (i.e. below the 7% of the whole BBS range), resulting in a favorable trade-off between predictive performance and user's required time with respect to previous works in literature. Results achieved by RC models compare well also with respect to different related learning models. Overall, the proposed system puts forward as an effective tool for an accurate automated assessment of balance abilities in the elderly and it is characterized by being unobtrusive, easy to use and suitable for autonomous usage.Source: Engineering applications of artificial intelligence 66 (2017): 60–74. doi:10.1016/j.engappai.2017.08.018
DOI: 10.1016/j.engappai.2017.08.018
Project(s): DOREMI
Metrics:

See at: Engineering Applications of Artificial Intelligence | Archivio della Ricerca - Università di Pisa | ISTI Repository | Engineering Applications of Artificial Intelligence | www.sciencedirect.com | CNR ExploRA

2020 Journal article Open Access

See at: Circulation Cardiovascular Imaging | Circulation Cardiovascular Imaging | NARCIS | www.ahajournals.org | CNR ExploRA