Technological Devices and Home Automation System in Neurological Rehabilitation
NCT ID: NCT06270420
Last Updated: 2024-02-21
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
NA
80 participants
INTERVENTIONAL
2023-02-05
2024-05-30
Brief Summary
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The main goal of this longitudinal pilot study is to define the productivity of the rehabilitation room (i.e., HoSmartAI room) in the IRCCS San Camillo Hospital (Venice, Italy) service, where the investigators will install home automation sensors and treat patients with neurological disease using technological devices (e.g., robotic and virtual reality). The secondary goals are to define the patients' satisfaction, usability of the system and the clinical effect of treatments delivered with technological devices in the HoSmartAI room. The patient will be assessed to personalized the treatment based on their needs. The treatment will consist of 15 sessions (1h/day, 5day/week, 3 weeks). At the end of the study, the patients will be assessed to define any clinical improvements. Finally, the investigators will define the characteristics of the patients who will benefit from the rehabilitation provided in the HoSmartAI room.
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Detailed Description
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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).
Conditions
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Study Design
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NA
SINGLE_GROUP
HEALTH_SERVICES_RESEARCH
NONE
Study Groups
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HosmartAI training
HosmartAI training will consist of motor training provided by technological devices (i.e. OAK, VRRS, AMADEO, PABLO) in the HoSmartAI room.
Technological Motor Rehabilitation
Patients will undergo to motor treatment in the HoSmartAI room using one of the technological devices (i.e. OAK, VRRS Evo by Khymeia Group, Padova, Italy; AMADEO, PABLO by Tyromotion GmbH, Gratz, Austria), for the upper limb and lower limb motor recovery, balance and manual dexterity recovery. The duration of the treatment will be 15 sessions, 1 hour each, with daily frequency, 5 days a week, for a total of 3 weeks.
Interventions
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Technological Motor Rehabilitation
Patients will undergo to motor treatment in the HoSmartAI room using one of the technological devices (i.e. OAK, VRRS Evo by Khymeia Group, Padova, Italy; AMADEO, PABLO by Tyromotion GmbH, Gratz, Austria), for the upper limb and lower limb motor recovery, balance and manual dexterity recovery. The duration of the treatment will be 15 sessions, 1 hour each, with daily frequency, 5 days a week, for a total of 3 weeks.
Eligibility Criteria
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Inclusion Criteria
* Diagnosis of neurological disease (e.g. ischemic and/or hemorrhagic stroke, Parkinson's, multiple sclerosis, brain trauma, peripheral neuropathy)
Exclusion Criteria
* Major depressive disorder
* Severe visual and/or hearing impairments
* Dementia
* Non-pharmacologically controlled epilepsy
* Severe neglect
* Severe comprehension deficit
18 Years
ALL
Yes
Sponsors
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IRCCS San Camillo, Venezia, Italy
OTHER
Responsible Party
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Principal Investigators
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Giorgia Pregnolato
Role: STUDY_CHAIR
IRCCS San Camillo Hospital
Locations
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IRCCS San Camillo Hospital
Venice-Lido, Venice, Italy
Countries
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Central Contacts
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Facility Contacts
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References
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Molteni F, Gasperini G, Cannaviello G, Guanziroli E. Exoskeleton and End-Effector Robots for Upper and Lower Limbs Rehabilitation: Narrative Review. PM R. 2018 Sep;10(9 Suppl 2):S174-S188. doi: 10.1016/j.pmrj.2018.06.005.
Orihuela-Espina F, Roldan GF, Sanchez-Villavicencio I, Palafox L, Leder R, Sucar LE, Hernandez-Franco J. Robot training for hand motor recovery in subacute stroke patients: A randomized controlled trial. J Hand Ther. 2016 Jan-Mar;29(1):51-7; quiz 57. doi: 10.1016/j.jht.2015.11.006. Epub 2015 Nov 26.
Latella D, Maggio MG, Maresca G, Andaloro A, Anchesi S, Pajno V, De Luca R, Di Lorenzo G, Manuli A, Calabro RS. Effects of domotics on cognitive, social and personal functioning in patients with Parkinson's disease: A pilot study. Assist Technol. 2022 Jul 4;34(4):423-428. doi: 10.1080/10400435.2020.1846095. Epub 2021 Apr 6.
Maggio MG, Maresca G, Russo M, Stagnitti MC, Anchesi S, Casella C, Zichitella C, Manuli A, De Cola MC, De Luca R, Calabro RS. Effects of domotics on cognitive, social and personal functioning in patients with chronic stroke: A pilot study. Disabil Health J. 2020 Jan;13(1):100838. doi: 10.1016/j.dhjo.2019.100838. Epub 2019 Sep 4.
Wolbring G, Lashewicz B. Home care technology through an ability expectation lens. J Med Internet Res. 2014 Jun 20;16(6):e155. doi: 10.2196/jmir.3135.
Cleland J, Hutchinson C, Williams PAH, Manuel K, Laver K. A scoping review to explore the health, social and economic outcomes of home automation for people with disability. Disabil Rehabil Assist Technol. 2024 May;19(4):1446-1453. doi: 10.1080/17483107.2023.2196308. Epub 2023 Apr 3.
Related Links
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The link of the Pilot #3 refers to the HoSmartAI projects
Other Identifiers
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2022.04
Identifier Type: -
Identifier Source: org_study_id
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