This study aims to verify the safety and preliminary clinical benefits of long-term gait training using AI-powered smart electric vehicles for patients with neurodegenerative diseases such as Parkinson's disease and dementia.
This study is a single-center, prospective, open-label clinical intervention trial aimed at verifying the clinical safety and preliminary efficacy of an AI-powered smart electric vehicle in gait training for patients with Parkinson's disease and dementia. It is expected to recruit 120 participants aged 50-85 years, who will be randomly assigned to different training durations (2\~12 weeks), with training sessions conducted two or three times a week, each lasting 30 to 60 minutes. The primary assessment indicators include gait speed, number of falls, and gait confidence scale, while secondary assessments include satisfaction and balance function. All study data will be coded and preserved for 10 years. The study is funded by the "Healthy Taiwan Cultivation Plan."
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
SUPPORTIVE_CARE
Masking
NONE
Enrollment
120
The specific applications of artificial intelligence in intelligent electric vehicles mainly include gait monitoring and analysis, real-time feedback and guidance, autonomous adaptive assistance, safety prevention and warnings, data collection and longterm tracking, as well as adding interactive and entertainment elements.
Taipei Medical University Shuang Ho Hospital
New Taipei City, Taiwan
Gait speed
Time frame: Before & after training (the training sessions will last for 2~12 weeks).
Gait length
Time frame: Before & after training (the training sessions will last for 2~12 weeks).
Number of falls
Time frame: During 2~12 training sessions.
Patients' gait confidence scale
Time frame: Before & after training (the training sessions will last for 2~12 weeks).
Patients' balance function
Timed-up-and-Go Test
Time frame: Before & after training (the training sessions will last for 2~12 weeks).
Patients' feedback
Clinical Global Impression (CGI)
Time frame: Before & after training (the training sessions will last for 2~12 weeks).
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