Viewing Study NCT06649500



Ignite Creation Date: 2024-10-26 @ 3:43 PM
Last Modification Date: 2024-10-26 @ 3:43 PM
Study NCT ID: NCT06649500
Status: NOT_YET_RECRUITING
Last Update Posted: None
First Post: 2024-10-14

Brief Title: 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
Sponsor: None
Organization: None

Study Overview

Official Title: 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: NOT_YET_RECRUITING
Status Verified Date: 2024-10
Last Known Status: None
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: No
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: UAI
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
Detailed Description: None

Study Oversight

Has Oversight DMC: None
Is a FDA Regulated Drug?: None
Is a FDA Regulated Device?: None
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: None