FrailSafe Objectives are divided into Medical (MOs) and Technological Objectives (TOs). TOs concern the development of an ICT solution that will deliver rehabilitation, and ultimately lead to prediction, prevention and self-management of frailty symptoms.

The main technological objectives (TOs) of FrailSafe are:

  • TO1. Design and development of hardware components (ambient and wearable sensors, body node coordinator (e.g., smart phone) optimised in terms of ergonomics, user-friendliness compactness, unobtrusiveness and energy consumption that can be used indoors and outdoors providing functionalities for effective yet simple and economical personalized monitoring of the individual patient's condition for purposes of detecting/alerting/averting of frailty events, merged to an integrated system, explicitly taking into account security and privacy issues.
  • TO2. Design and development of efficient signal processing algorithms for low level processing including signal enhancement, activity classification, energy expenditure, and behavioural monitoring.
  • TO3. Development of a self-adaptive virtual patient model offering optimal services for managing frailty ranging from critical situation management, facilitating social integration to day-to-day self-management and health preservation based on a personalized patient profile.
  • TO4. Development of a generic monitoring and management infrastructure on which modular services and patient-specific applications will be built.
  • TO5. Development of novel methods for the offline management, fusion and analysis of multimodal and advanced technology data from social, behavioural, cognitive and physical activities of frail older people and application of these methods to manage and analyze the large amounts of data collected leading to integrative interpretation and better understanding of frailty, introduction of new quantitative frailty biomarkers as well as frailty metrics, correlation of co-morbidities and frailty, advanced decision making capabilities (DSS) assisting diagnosis by medical professionals.
  • TO6. Development of real-time data management and data mining methods effectively making decision assessing frailty levels, detecting frailty risks and triggering alarms in case of emergency situations (e.g., fall, loss of orientation, incoherent utterances in electronic written text) based on minimal processing of real-time multi-parametric streaming data and economical personalized monitoring guided by a minimal number of sensors and parameters (FrailSafe prediction engine and Risk Factor Evaluation).
  • TO7. Investigation of processing time, storage and communication trade-offs for real-time analysis at the WBAN or the phone/PDA and use of data reduction and summarization techniques for reducing raw streaming data to secondary or tertiary parameters. Effectively use virtual patient models and results from the offline data mining of multi-parametric data to make real-time analysis more efficient and targeted.
  • TO8. Development of a dynamically synthesized, personalized and highly innovative Augmented Reality game consisting of different scenarios that will take place in the real world than in a virtual one that measures parameters of behavioural, cognitive and physical domain while implementing various intervention strategies.
  • TO9. Extensive testing of the FrailSafe integrated system in several validation scenarios while ensuring compliance with ethics standards.

Other objectives of FrailSafe are:

  1. Development of effective means for translating intensive non-pharmacological interventions at home settings.
  2. Encapsulation of pharmacological interventions when needed, for prevention or treatment reasons.
  3. Reduction of the effort needed for the provided healthcare service as well as load of carer and the overall cost spent for the healthcare system in Europe.

In summary, the fusion of the relevant information from all the sources mentioned earlier, is expected to advance our understanding of frailty and the associated co-morbidities, measure risk of frailty, and as such, risk of adverse outcome, provide a model for testing interventions and treatments, provide a model to deliver rehabilitation, and ultimately lead to prediction, prevention or even reversal of frailty.

FrailSafe will not only increase confidence in detecting frailty symptoms and signs, but also will improve motor and cognitive capabilities of older people by providing them with assistive visual and contact feedback while performing dynamically synthesized Augmented Reality games/rehabilitation programs. FrailSafe will develop an infrastructure on which novel patient-specific services will be integrated in a modular form. The service applications will manage and analyse large volumes of acquired and new multimodal and advanced technology data of older adults and individuals clinically diagnosed with frailty, and further relate the presence of frailty with the possible existence of specific co-morbidities if indicated by the caregiver. Aiming to design personalized, medically efficient and economical e-health services that will improve the self-management of older people, FrailSafe will support their overall health status, and strengthen their social activity. It will also provide means aiding their independent living, ensuring adherence to pharmacological treatments and offering at-home intense non-pharmacological interventions for maintaining/enhancing their cognitive and motor functionalities.