One of the most promising field of application of smart garment is baby monitoring: the most sensible periods of time in the first day of life of a newborn is the first 2-4 hours of life. When the baby is born, for the first 2-4 hours there is no monitoring active; the baby, after a rapid cleaning procedure and first checkup, is given naked to the mother who put him/her on her breast. The skin-to-skin contact facilitate the maternal bonding which consists in different aspects: thermoregulation of the baby, the kangaroo care, cognitive bond, etc. In this period of time, normally there is no ongoing monitoring in order to favor the bonding between mother and child; a discontinuous monitoring is usually implemented through a common visual recognition by the nursery staff. In this hours, in which the baby is in a transient periods from pre to post-natal, a continuous monitoring of bio-signal can be very useful to prevent critical situation. The monitoring system has the purpose to impact on the organization of the work of nursery staff, and increase the quality of the health service delivered through the use of a continuous quantitative monitoring, rather than a qualitative observation repeated over time in a discontinuous manner. This kind of monitoring system tries to be the least invasive as possible for the medical procedure, the baby and the mother. The introduction of a new monitoring procedure in a sensitive environment like the delivery room is a real clinical need we matched with our innovative smart garment embedding textile comfortable electrodes. Recently we investigated the compliance, the reliability and the acceptability of a new monitoring system applied in the first 2-4 hours of life during bonding procedure in a clinical trial with excellent results. This proposal aims at industrially and commercially exploiting the system at national and international level also matching the different regulatory rules.

Overall goal is to use GNSS as an support for IMU to track whole body movements in the wild, for healthcare and wellness applications. The GESTUS proposal aims to address a clear need of movement workers, physicians, physical therapists, and athletic trainers. The need is to have a tool that allows for highly accurate tracking of the kinematics of the human body, for the entire duration of the activity. GESTUS proposes a solution based on the integration of GNSS and IMU within ad-hoc wearable devices, which allow for high accuracy for a long duration of time in the real environment. The solution then consists of an ad-hoc created data processing algorithm and a cloud platform, with associated communication infrastructure, to automate sensor management, data downloading, processing itself, and results fruition, analysis and sharing. The project and the solution it proposes is primarily aimed at remote monitoring of patients with, or potentially affected by, degenerative and neurological diseases such as multiple sclerosis or Parkinson's. In such patients, it is very important to monitor with great accuracy the movements of every part of the body, both for possible early diagnosis and to monitor the evolution of the disease, to evaluate the effect of ongoing treatments, and to plan in advance actions to mitigate symptoms.

The VIPPSTAR project aims to offer the first holistic framework for a life-long enhancement of health, well-being, and autonomy of children and adolescents with Visual Impairment (VI). We will support a personalized prevention of the profound and sometimes irreversible impacts of VI on individual psychological, educational, and social competence. VI can be identifiable shortly after birth, persists throughout the lifetime and is likely to have an impact on all areas of development. VIPPSTAR will include families and young individuals to overcome the burden of VI and achieve a healthy, independent life and full rights to engage critically and safely with future digital technologies for health, including AI systems. Self empowerment and agency will be promoted moving from healthcare support to family, then self-administered serious gaming, personalized eLearning, and assistant-based coaching. The system will be co-designed together with youths to support a healthy physical and mental growth to adulthood. As a key innovation, we will study body image and identity development in youth with VI and consider its impact on digital media use in youth with VI, drawing concepts to develop personalized programs to prevent inadequate nutrition, limited mobility, and addiction to social media. A dedicated surveillance network will be established to collect data in different socio-economic and geographical groups to obtain an evidence-based comparison of the new programs with the national standard of care. All aspects on ethics, data protection, and AI use will be harmonized with the relevant EU regulations and guidelines for trustworthy AI: VIPPSTAR will establish the first regulatory Sandbox for digital health services in children and youths with VI, collaborating with regulators and stakeholders according to the AI.Act principles, also contributing to other EU initiatives.

Deep vein thrombosis (DVT) is the formation of a blood clot within the deep veins, most commonly those of the lower limbs, causing obstruction of blood flow. In 50% of people with DVT, the clot eventually breaks off and travels to the lung to cause pulmonary embolism. Clinical assessment of DVT is notoriously unreliable because up to 2/3 of DVT episodes are clinically silent and patients are symptom free even when pulmonary embolism has developed. Early diagnosis of DVT is crucial and despite the progress made in ultrasound imaging and plethysmography techniques, there is a need for new methods to enable continuous monitoring DVT diagnosis at the point of care. ThrombUS+ brings together an interdisciplinary team of industrial, technology, regulatory, social science and clinical trial experts to develop a novel wearable diagnostic device for point-of-care, operator free, continuous monitoring in patients with high DVT risk. The device will combine autonomous, AI driven DVT detection based on a novel wearable ultrasound hardware, impedance plethysmography and light reflection rheography for immediate detection of blood clot formation in the lower limb. Activity and other physiological measurements will be used to provide a continuous assessment of DVT risk and support DVT prevention via serious gaming. The aggregated data will drive an intelligence decision support unit that will provide accurate monitoring and alerts. Extended reality will be used to guide experts to design exercises and patients to use the device optimally. ThrombUS+ is intended for use by postoperative patients in the ward, during long surgical operations, cancer patients or otherwise bedridden patients at home or in care units, and women during pregnancy and postpartum. ThrombUS+ will use big data sets for AI training collected in the project via 3 large scale clinical studies and will validate the outcome in the clinical setting via 1 early feasibility study and 1 multi-center clinical trial.