Ignite Creation Date:
2024-10-25 @ 7:57 PM
Last Modification Date:
2024-10-26 @ 3:40 PM
Study NCT ID:
NCT06598878
Status:
RECRUITING
Last Update Posted:
None
First Post:
2024-09-12
Brief Title:
AR Gait Training for Parkinsons Disease
Sponsor:
None
Organization:
None
Study Overview
Official Title:
Effect of AR Environment Stimulation on Proactive and Reactive Modulation of Gait in Individuals With Parkinson Disease
Status:
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:
None
Brief Summary:
Gait disorders in Parkinsons disease PD particularly in complex environments or under stress present challenges for accurate evaluation and classification such as in cases of freezing of gait Traditional clinical and laboratory settings often fail to replicate the complexity needed for precise classification making effective rehabilitation difficult This study aims to address these challenges by developing an augmented reality AR-based environment that mimics real-world stressors and dynamically adapts to the patients condition The AR system is designed to facilitate individualized gait training and rehabilitation by modifying environmental difficulty based on real-time feedback from gait performance and stress levels
Building on Gentiles taxonomy of tasks the investigators have incorporated PD-specific factors such as cognitive dual tasks into our environment classification system Preliminary results suggest that this system effectively elicits varying gait and heart rate variability HRV responses indicating different stress levels
This trial will further test the AR environments ability to classify patients based on their responses to complex interactive environments while also investigating the effects of adaptive AR-based gait training on both gait and stress management in individuals with PD
Building on Gentiles taxonomy of tasks the investigators have incorporated PD-specific factors such as cognitive dual tasks into our environment classification system Preliminary results suggest that this system effectively elicits varying gait and heart rate variability HRV responses indicating different stress levels
This trial will further test the AR environments ability to classify patients based on their responses to complex interactive environments while also investigating the effects of adaptive AR-based gait training on both gait and stress management in individuals with PD
Detailed Description:
Gait disorder in Parkinsons disease PD has been reported to be related to complex environments and stress situations To perform precise evaluation on gait disorder such as freezing of gait is not easy in clinical andor lab environment causing the difficulty to make accurate classification of gait disorder Designing a standard environment stimulation paradigm helps to promote precise classification of gait disorders Monitoring the stress situation that causes gait disorder and dynamically modifying environment assists in the facilitation of effective individualized gait rehabilitation for PD patients
Although Gentiles taxonomy of tasks provides a structure to examine the complexity of movement task in accordance with environmental context this taxonomy and environmental context does not specifically reflects PD movement problems In this on-going project the investigators developed an environment classification system based on Gentiles taxonomy but added PD related factors such as cognitive dual task to meet the needs of this population Our preliminary results showed that this novel classification successfully induced different levels of gait and HRV responses suggesting different stress situations
For the following the investigators plan to apply the Augment reality AR technique to produce standard interactive testing and training environment AR allows us to mimic complex environments in lab for evaluation and rehabilitation In addition AR could interactively change the difficulty of environment according to the patientsgait and stress situation which is important for developing effective personal rehabilitation program
The purposes for this project are as follows
1 Test the AR environment stimulation on classifying patients and establish the relationships among challenging AR environment pressure and gait
2 Investigate the effects of interactive AR gait training on gait and stress for individuals with PD
Although Gentiles taxonomy of tasks provides a structure to examine the complexity of movement task in accordance with environmental context this taxonomy and environmental context does not specifically reflects PD movement problems In this on-going project the investigators developed an environment classification system based on Gentiles taxonomy but added PD related factors such as cognitive dual task to meet the needs of this population Our preliminary results showed that this novel classification successfully induced different levels of gait and HRV responses suggesting different stress situations
For the following the investigators plan to apply the Augment reality AR technique to produce standard interactive testing and training environment AR allows us to mimic complex environments in lab for evaluation and rehabilitation In addition AR could interactively change the difficulty of environment according to the patientsgait and stress situation which is important for developing effective personal rehabilitation program
The purposes for this project are as follows
1 Test the AR environment stimulation on classifying patients and establish the relationships among challenging AR environment pressure and gait
2 Investigate the effects of interactive AR gait training on gait and stress for individuals with PD
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