View clinical trials related to Gait, Unsteady.
Filter by:This study aims to provide a novel scientific contribution through addressing critical knowledge gaps, examining the effects of attentional focus instructions on real-time (state) conscious movement processing propensity, gait parameters, and muscle efficiency in older adults in Hong Kong at risk of falling while walking in a challenging environment. The study results could update our scientific understanding of the mechanisms of conscious movement processing and the interventional effects of attentional focus instructions in older adults. It could ultimately enhance the methodology used for developing the most appropriate psychomotor gait re-education intervention in rehabilitation and provide clear guidelines on the exact attentional focus training that older adults require. Further, it could mitigate the effect of conscious movement processing and risk of falling in older adults.
Sarcopenia is quickly becoming a major global public health issue. Falls are the leading cause of mortality among the elderly, and they must be addressed. The investigators will use machine learning techniques such as empirical mode decomposition technology and decision tree algorithms to extract the characteristics and classification of sarcopenia in this retrospective study in order to offer clinically proven and effective interventional strategies to prevent, stabilize, and reverse sarcopenia.
Every year 1.7 million people sustain a traumatic brain injury (TBI) in the United States and of these, 84 % are considered mild TBI (mTBI). mTBI is common both in civilian and military populations and can be debilitating if symptoms do not resolve after injury. Balance problems are one of the most common complaints after sustaining a mTBI and often prevent individuals from returning to their previous quality of life. However, the investigators currently lack clear guidelines on when to initiate physical therapy rehabilitation and it is unclear if early physical therapy is beneficial. The investigators believe that the underlying problem of imbalance results from damage to parts of the brain responsible for interpreting sensory information for balance control. The investigators hypothesize that retraining the brain early, as opposed to months after injury, to correctly interpret sensory information will improve recovery. The investigators also believe this retraining is limited when rehabilitation exercises are performed incorrectly, and that performance feedback from wearable sensors, can improve balance rehabilitation. There are three objectives of this study: 1) to determine how the timing of rehabilitation affects outcomes after mTBI; 2) to determine if home monitoring of balance exercises using wearable sensors improves outcomes; and 3) to develop a novel feedback system using wearable sensors to provide the physical therapist information, in real-time during training, about quality of head and trunk movements during prescribed exercises. The findings from this research could be very readily adopted into military protocols for post-mTBI care and have the potential to produce better balance rehabilitation and quality of life for mTBI patients and their families.