Skip to content

Identify the Most Effective Rehabilitation Method Between a Treatment with a Sensorized Treadmill (Walker View) and a Treatment with Conventional Group Therapy in Balance Disorders and the Use of Artificial Intelligence to Identify Predictive Indices to Prevent Falls and Diagnose Promptly the Risk

Comparison Between Treatment with Sensorized Treadmill and Conventional Therapy in Balance Disorders and Use of Artificial Intelligence in Identifying Predictive and Prognostic Indices of the Risk of Falling in Balance Disorders in Adult-elderly Subjects

Status
Recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06649500
Acronym
UAI
Enrollment
108
Registered
2024-10-18
Start date
2024-12-04
Completion date
2026-06-30
Last updated
2025-03-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Artificial Intelligence (AI), Balance Disorders, Elderly (people Aged 65 or More), Falls, Falls Prevention, Rehabilitation

Brief summary

Falls in the elderly are one of the main sources of disability and hospitalization, with a significant impact on quality of life and social and healthcare costs. Falls represent a significant health concern for people over 60 years old. Numerous studies have shown that falls cause serious health consequences. Around 30% of people over the age of 60 experience a fall during the year. According to the impact falls have, the investigators decided to analyze the effectiveness of training on a Walker View sensorized treadmill, with the possibility of exercises for coordination and balance, compared to training with a conventional group therapy, in order to understand the best training to reduce the risk of falling and observe the possible improvements in daily life activities. So the study aims to identify the most effective rehabilitation method between a treatment with a sensorized treadmill (Walker View) and a conventional group therapy in balance disorders. The study also aims to identify predictive indices, with the use of Artificial Intelligence, that can contribute to the prevention and diagnosis of balance disorders in a short time and prevent falls in the elderly.

Interventions

OTHERTreadmill

The Walker View system is a treadmill equipped with a loaded cell sensor belt and a 3D camera that allows you to detect every single angular movement of the subject. Furthermore, thanks to the two optics, a classic one for 2D shooting in high resolution, and a revolutionary one for infrared rays, it is possible to reconstruct the position of the subject in space in three-dimensional mode and in real time. The reflected image reconstructed by the system helps to improve movement through the "continuous feedback system" method.

OTHERconventional therapy

Conventional therapy intervention will follow the usual treatment according to current clinical practice. This treatment will be delivered to patients in a group session in order the balance disorders.

Sponsors

Fondazione Policlinico Universitario Campus Bio-Medico
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
DOUBLE (Investigator, Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
65 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Age ≥ 65 years * Consent to participate in the study * Positive history of balance disorders * Absence of cognitive deficits (MMSE ≥ 24) * Tinetti < 25

Exclusion criteria

* Clinical pictures associated with musculoskeletal, cardiovascular, cerebrovascular, neuro-psychic problems and post-surgical outcomes that make the planned evaluation tests unfeasible. * Inability to carry out a walking test. * History of more than one fall in the last six months. * Subjects who have not expressed informed consent to participate in the study.

Design outcomes

Primary

MeasureTime frameDescription
Change in Step Length of Gait AnalysisBaseline, 6 weeks, 10 weeksThe Gait Analysis is used to assess individuals with conditions that affect their ability to walk. It is a useful test for studying gait, thanks to instruments that measure the load on each limb and walking in general. It allows us to evaluate progresses at different time frames.

Secondary

MeasureTime frameDescription
MobilityBaseline, 6 weeks, 10 weeksMobility is assessed through the Time Up and Go Test that measures the level of mobility and requires static and dynamic balancing skills to perform the test
Risk of fallingBaseline, 6 weeks, 10 weeksRisk of falling is assessed through the Berg Scale used to assess balance and the risk of falling. 14 items will be evaluated, each item assigns a score from 0 to 4 (with 0 = unable to perform the task, 4 = able to perform the task within the times and conditions indicated). Scores below 20 points indicate the need for the patient to use a wheelchair or aids; scores between 21 and 45 suggest using an aid when walking; scores above 45 suggest patients are able to move safely without the need of aids.
Daily LivingBaseline, 6 weeks, 10 weeksDaily Living is assessed with the Barthel Index for Activities of Daily Living. It is an ordinal scale which measures a persons ability to complete activities of daily living (ADL) and it assesses functional independence. The scale assigns one point for each independent function in order to obtain a total performance result that varies from 0 (complete dependence) to 6 (independence in all functions).
BalanceBaseline, 6 weeks, 10 weeksBalance will be assessed through the Tinetti Scale, a validated tool to measure balance skills, including risk of falls and walking in elderly subjects. Each item is given a score ranging from 0 to 2, where zero equals inability, 1 ability with aid or adaptation and 2 complete ability. A lower score indicates lower capabilities. A score \< or equal to 18 indicates high risk of falling, 19-24 indicates medium risk of falling, \> or equal to 25 low risk of falling.
Muscle strengthBaseline, 6 weeks, 10 weeksThis will be assessed with the Motricity Index which aims to measure muscle strength and motor skills at the limb level.
Patient reported Quality of LifeBaseline, 6 weeks, 10 weeksThis will be assessed by the QoL scale SF-36. It measures 36 items in order to objectify to quantify health status and measure health-related quality of life. The aggregate scores for each domain range from 0 to 100, as a percentage, where the higher the score, the more favorable the health status.
StabilityBaseline, 6 weeks, 10 weeksThis outcome measure will be assessed with the stabilometric platform, which measures the average position of the body's centre of gravity and its small movements around that position.
Instrumental Activites of Daily LivingBaseline, 6 weeks, 10 weeksThese activities will be assessed through the IADL scale and it respectively investigates the ability of elderly subjects to carry out fundamental functions of daily life. One point will be assigned for each independent function in order to obtain a total performance result that varies from 0 (complete dependence) to 8 (independence in all functions)

Countries

Italy

Contacts

Primary ContactFederica Bressi, MD
f.bressi@policlinicocampus.it+39 0622541624

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026