Zhenghua Li
Institute of Resource Development and Analysis, Kumamoto University, Kumamoto, Japan
Publications
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Research Article
Objective Longitudinal Assessment of Walking Function Using Apple Health Data in Parkinson’s Disease
Author(s): Zhenghua Li, Jingling Shen, Haruhisa Ishida and Kenichi Yamamura*
Accurate longitudinal assessment of walking function is clinically important in Parkinson’s disease (PD). However, conventional evaluation often depends on brief clinical observation and patient-reported impressions, which may not fully capture long-term change in daily-life walking performance. Consumer health data collected through smartphones and wearable devices may provide an opportunity for objective and repeated assessment outside the clinic. We investigated whether Apple Health–derived walking metrics can be used for objective longitudinal assessment of walking function in PD. Longitudinal walking-related data were obtained from Apple Health in a patient with PD. Multiple gait-related metrics, including walking speed, step length, double support percentage, walking asymmetry percentage, step count, and walking steadiness, were analyzed over 2 years observation peri.. Read More»