Ignite Creation Date:
2024-07-17 @ 10:46 AM
Last Modification Date:
2024-10-26 @ 3:33 PM
Study NCT ID:
NCT06480279
Status:
RECRUITING
Last Update Posted:
2024-06-28
First Post:
2024-06-13
Brief Title:
Assessing Fall Risk Using Transcranial Magnetic Stimulation and Quantitative Sensory Testing
Sponsor:
Chulalongkorn University
Organization:
Chulalongkorn University
Study Overview
Official Title:
Development of Artificial Intelligence Innovation for Assessing Fall Risk Using Clinical Neurological Studies With Transcranial Magnetic Stimulation and Quantitative Sensory Testing in the Thai Elderly
Status:
RECRUITING
Status Verified Date:
2024-06
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
The elderly are at high risk of falls due to neurophysiological changes such as motor and sensory impairment that occur with aging The incidence of falls in older adults is high with approximately 30 of adults over the age of 65 falling at least once per year Falls can lead to serious consequences such as fractures hospitalization and loss of independence The changes in neurophysiology have also been found to decrease balance control in aging people leading to postural instability It is well-known that postural balance is influenced by sensory inputs including touch proprioception vision and vestibular as well as motor output such as motor controls Impairments in these systems contribute to postural instability and an increased risk of falling in the elderly
Detailed Description:
The data collection will be arranged in the same order Practice trials will be provided before the start of the data collection The entire data collection session will take approximately 90 minutes Data collection will be conducted for both the baseline and the 3-month follow-up
The data collection will include
1 Demographic information such as age sex body height body weight body mass index medical history medical diagnosis body composition and the MoCA Montreal Cognitive Assessment
2 Neurophysiological assessments such as electromyography and Quantitative Sensory Testing QST
3 Functional tests such as the Timed up and go test and Chait stand test
The data collection will include
1 Demographic information such as age sex body height body weight body mass index medical history medical diagnosis body composition and the MoCA Montreal Cognitive Assessment
2 Neurophysiological assessments such as electromyography and Quantitative Sensory Testing QST
3 Functional tests such as the Timed up and go test and Chait stand test
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None