Technological Devices and Home Automation System in Neurological Rehabilitation

NCT ID: NCT06270420

Last Updated: 2024-02-21

Study Results

Results pending

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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Recruitment Status

RECRUITING

Clinical Phase

NA

Total Enrollment

80 participants

Study Classification

INTERVENTIONAL

Study Start Date

2023-02-05

Study Completion Date

2024-05-30

Brief Summary

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The use of home automation system may be useful in rehabilitation to collect data about the environment and the amount of therapy. Then, the data may be stored in a cloud and integrated with data collected during training provided by technological devices.

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.

Detailed Description

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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).

Conditions

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Neurological Disease Motor Disorders

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Longitudinal Pilot study
Primary Study Purpose

HEALTH_SERVICES_RESEARCH

Blinding Strategy

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.

Group Type EXPERIMENTAL

Technological Motor Rehabilitation

Intervention Type DEVICE

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.

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* Adults (\> 18 yy)
* Diagnosis of neurological disease (e.g. ischemic and/or hemorrhagic stroke, Parkinson's, multiple sclerosis, brain trauma, peripheral neuropathy)

Exclusion Criteria

* Fractures
* Major depressive disorder
* Severe visual and/or hearing impairments
* Dementia
* Non-pharmacologically controlled epilepsy
* Severe neglect
* Severe comprehension deficit
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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IRCCS San Camillo, Venezia, Italy

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

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

Site Status RECRUITING

Countries

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Italy

Central Contacts

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Giorgia Pregnolato

Role: CONTACT

+39 0412207 ext. 214

Valeria Campanini

Role: CONTACT

+39 0412207 ext. 428

Facility Contacts

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Giorgia Pregnolato

Role: primary

+0412207 ext. 214

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.

Reference Type BACKGROUND
PMID: 30269804 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 26847320 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 33337294 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 31501039 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 24956581 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 37012673 (View on PubMed)

Related Links

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https://www.hosmartai.eu/pilots/pilot-3/

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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