Real-Time Feedback Training to Improve Postural Control in a Patient With Femoral Neck Fracture and Severe Dementia: A Case Study
Taiga Okada, Taizan Shirakawa

TL;DR
A 97-year-old woman with severe dementia and a hip fracture improved her balance using a real-time feedback system that doesn't require complex instructions.
Contribution
A real-time feedback balance training method is shown to be feasible and effective for patients with severe dementia.
Findings
Functional balance and COP parameters improved during BASYS-based training.
Spectral analysis showed reduced power in mid- and low-frequency bands of COP movement.
Static standing balance training is viable for patients with severe cognitive impairments.
Abstract
Older adults with Alzheimer’s disease have a higher risk of falling compared to cognitively healthy individuals, partly due to the combined presence of cognitive decline and motor impairments. In older adults with severe dementia, conventional balance training is often difficult to implement because of reduced comprehension and difficulty following complex instructions. To address these challenges, there is increasing interest in balance interventions that are cognitively accessible, feasible under static conditions, and do not rely heavily on active motor learning or verbal instruction. Balance training using the Balance Adjustment System (BASYS) (Tec Gihan Co., Ltd., Kyoto, Japan) can be performed in a static standing position and is expected to offer clinical benefits. This case study examined the changes observed following BASYS-based balance training, which reduces body sway in…
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Taxonomy
TopicsBalance, Gait, and Falls Prevention · Musculoskeletal pain and rehabilitation · Stroke Rehabilitation and Recovery
