Effects of domotics on cognitive, social and personal functioning in patients with Parkinson's disease: A pilot study

Integration of Smart Home and Building Automation Systems in Virtual Reality and Robotics-Based Technological Environment for Neurorehabilitation: A Pilot Study Protocol

Technological innovation has revolutionized healthcare, particularly in neurological rehabilitation, where it has been used to address chronic conditions. Smart home and building automation (SH&BA) technologies offer promising solutions for managing chronic disabilities associated with such conditions. This single group, pre-post longitudinal pilot study, part of the H2020 HosmartAI project, aims to explore the integration of smart home technologies into neurorehabilitation. Eighty subjects will be enrolled from IRCCS San Camillo Hospital (Venice, Italy) and will receive rehabilitation treatment through virtual reality (VR) and robotics devices for 15 h per day, 5 days a week for 3 weeks in the HosmartAI Room (HR), equipped with SH&BA devices measuring the environment. The study seeks to optimize patient outcomes and refine rehabilitation practices. Findings will be disseminated through peer-reviewed publications and scientific meetings, contributing to advancements in neurological rehabilitation and guiding future research.

The Effects of Home Automation on Personal and Social Autonomies in Spinal Cord Injury Patients: A Pilot Study

Background: Spinal cord injury (SCI) is a severe and progressive neurological condition caused by trauma to the nervous system, resulting in lifelong disability and severe comorbidities. This condition imposes serious limitations on everyday life, interfering with patients' social lives and compromising their quality of life, psychological well-being, and daily living activities. Rehabilitation is essential to helping SCI patients gain more independence in their daily routines. Home automation (HA) systems provide personalized support to users, allowing them to manage various aspects of their living environment, promoting independence and well-being. This study aims to demonstrate the efficacy of an HA system in enhancing personal and social autonomies in SCI patients, resulting in improved cognitive function and reduced anxiety-depressive symptoms compared to traditional training. Methods: We enrolled 50 SCI patients undergoing neurorehabilitation at IRCCS Centro Neurolesi (Messina, Italy). These patients were randomly assigned to one of two groups: a control group (CG) and an experimental group (EG). The CG received traditional training, while the EG underwent HA training. We evaluated the patients before (T0) and after (T1) rehabilitation using various scales, including the Montreal Cognitive Assessment (MoCA), the Beck Depression Inventory (BDI), the Hamilton Rating Scale for Anxiety (HRS-A), the 12-Item Short-Form Survey (SF-12), the Functional Independence Measure (FIM), Activities of Daily Living (ADL), Instrumental Activities of Daily Living Scale (IADL), and the EQ-5D-5L. Results: The effect of the experimental treatment showed an improvement in all patients test scores in the EG, especially regarding cognitive functions, mood disorders, activities of daily living, and quality of life. Conclusion: Our findings suggest that HA may be effective in improving daily autonomy and, in turn, alleviating mood disorders and enhancing psychological well-being.

The Impact of Assistive Technology on Quality of Life of Home-Dwelling People with Parkinson's Disease

Parkinson's disease (PD) is the fastest growing neurological disease worldwide with more than 8.5 million people diagnosed. Assistive technologies for people with PD support the user to maximize independence. The purpose of this integrative literature review was to critique and synthesize the literature on the impact of assistive technologies on quality of life of home-dwelling individuals with PD. A literature search for studies on assistive technologies for people with PD with a primary outcome measure of quality of life was conducted. Of 156 articles screened for eligibility, 6 met selection criteria, including 4 quantitative studies, 1 qualitative study, and 1 mixed-method. Levels of evidence were scored as a percentage of quality criteria met, from 60% to 100% using the Mixed Methods Appraisal Tool. Using home monitoring devices was associated with significant improvements in walking, especially during freezing of gait. Evidence supports the use of assistive technologies including voice-activated technology, home automation, and home monitoring devices. Further research is needed to determine the effect of assistive technology on quality of life.