The recovery of motor function is a primary goal for individuals diagnosed with neurological
disease, such as Stroke, Parkinson's Disease, Multiple Sclerosis. Various rehabilitation
methods have been using in neurorehabilitation hospital, including conventional training and
those involving technological devices. Nowadays, the integration of technology into
rehabilitation room has been expanding within the National Health System, and their
effectiveness in enhancing functionality and quality of life remains a subject of ongoing
research in rehabilitation. In addition to rehabilitation devices, such as robotic and
virtual reality systems, home automation system may play a crucial role in monitoring and
recording patient movements. These sensors can also be employed for home automation in
environments such as hospital rehabilitation settings, helping to reduce paid carer hours,
quantify the impact of automated data acquisition on the functionality and offer many
benefits to people with a disability. Indeed, potentially, the application of home automation
system in technological rehabilitation rooms, may allow for the synchronization of
environmental data with the patient's clinical history, facilitating the study of functional
recovery.
This study is a part of the HosmartAI project (EU Horizon 2020 research and innovation
program - grant agreement No 101016834 Pilot #3). The main aim of HoSmartAI project is to
develop hospitals based on artificial intelligence (AI) technologies. In Pilot #3, the
investigators will integrate data collected by technological devices for motor rehabilitation
and home automation sensors installed in room (HosmartAI room) at the Neuromotor
Rehabilitation Service of the San Camillo IRCCS Hospital (Venice, Italy). These sensors are
able to detect the effective numbers of minutes of therapy, the number of sessions delivered
in the room, and detect the presence and falls of the patients. Moreover, all these sensors
are managed directly by physiotherapists through an App for smartphone. All data collected
will be integrated in a cloud infrastructure, where physiotherapist will check the patients'
profile and data collected from clinical assessment and home automation sensors.
In the study, the investigators will enroll patients with neurological disease and motor
impairment who are hospitalized in Camillo IRCCS Hospital (Venice, Italy). The treatment
(5time/week, for 3 weeks) will consist of 1 hour/day of motor training provided by
technological devices (i.e., OAK, VRRS, AMADEO, PABLO) in the HoSmartAI room, in addition to
daily 1 hour of conventional motor training. Firstly, the patients will be assessed to define
their motor function and personalize the treatment based on their needs, to improve balance,
manual dexterity, or upper and lower limb motor recovery. Then, at the end of the treatment,
the patients will be assessed using validated clinical scales and questionnaire to determine
the clinical effect and patient-reported outcome measurements (i.e., usability, technology
acceptability, and user satisfaction).