Sensor-based Assessment and Rehabilitation of Balance in Neurological Diseases
NCT04874051 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 120
Last updated 2023-03-22
Summary
Balance impairment is one of the most common disorders due to a neurological diseases. Sensor-based technologies may be useful for falls prevention and balance recovery during patients hospitalization. OAK Elderly Care System (Khymeia Group, Noventa Padovana, Italy) allows the assessment of fall risk, the centre of pressure and the execution of balance exercises in a virtual environment.
Conditions
- Stroke
- Multiple Sclerosis
- Parkinson Disease
Interventions
- DEVICE
-
Experimental Group
The experimental treatment will be provided by means of the OAK system. This device consists of 1 cabinet with 2 independent balance boards, 2 monitors (one for the physiotherapist and one for the patient) and 3 wireless IMUs (one for the left lower limb, one for the right lower limb and one for the trunk). The 2 balance boards provide body weight transfer exercises, while the wireless motion sensors provide one leg stance exercises or trunk exercises in a virtual environment.
- OTHER
-
Control Group
The Control Group will perform conventional balance exercises similar to the exercises provided with the OAK system.
Sponsors & Collaborators
-
IRCCS San Raffaele
collaborator OTHER -
Istituti Clinici Scientifici Maugeri SpA
collaborator OTHER -
IRCCS National Neurological Institute "C. Mondino" Foundation
collaborator OTHER -
I.R.C.C.S. Fondazione Santa Lucia
collaborator OTHER -
IRCCS San Camillo, Venezia, Italy
lead OTHER
Principal Investigators
-
Andrea Turolla, PhD · San Camillo IRCCS
Study Design
- Allocation
- RANDOMIZED
- Purpose
- TREATMENT
- Masking
- DOUBLE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Max Age
- 90 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2019-09-02
- Primary Completion
- 2023-12-31
- Completion
- 2023-12-31
Countries
- Italy
Study Locations
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