Sensor-based balance training with motion feedback in people with mild cognitive impairment

Area of Science:

• Gerontology
• Neuroscience
• Rehabilitation Medicine

Background:

• Mild cognitive impairment (MCI) is often associated with declines in both cognitive and motor functions, particularly postural balance.
• Impaired balance in MCI patients increases fall risk and impacts quality of life.
• Novel therapeutic interventions are needed to address motor deficits in MCI.

Purpose of the Study:

• To assess the feasibility and user experience of a novel sensor-based balance training program.
• To evaluate the effects of this training on postural control, gait, cognition, and fear of falling in patients with amnestic MCI.
• To determine the acceptance and perceived benefits of real-time sensor feedback during training.

Main Methods:

• A pilot randomized controlled trial involving patients with amnestic MCI.
• Intervention group (n=12) received 4 weeks of sensor-based balance training with real-time feedback.
• Control group (n=10) received no training. Outcome measures included balance sway, gait parameters, cognitive function, and fear of falling.

Main Results:

• The sensor-based training program was highly feasible, with 92% completion rate and positive user feedback on fun, safety, and helpfulness.
• Significant reductions in center of mass sway (eyes open) and fear of falling were observed in the intervention group compared to the control group.
• No significant changes were found in gait speed, gait variability, or cognitive measures.

Conclusions:

• Sensor-based balance training is a feasible, well-accepted, and beneficial intervention for improving postural control in individuals with amnestic MCI.
• The real-time feedback from wearable sensors enhances user experience and may contribute to improved balance.
• Further research is warranted to compare the efficacy of sensor-based training against traditional methods.