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CompletedNCT07143006Updated Dec 3, 2025

Application of Smart Electric Vehicles in Analyzing Gait Abnormalities in Patients With Neurodegenerative Diseases

An interventional study of BestShape Go Intelligent Generation Transformable Electric Vehicle in Parkinson Disease and Dementia, sponsored by Taipei Medical University Shuang Ho Hospital. Completed at 1 site in Taiwan. Open to participants aged 60 Years to 85 Years. Per ClinicalTrials.gov, last updated 2025-12-03.

Sponsored by Taipei Medical University Shuang Ho Hospital · Not applicable, Interventional, and Supportive care

Phase
Not applicable
Study type
Interventional
Enrollment
120
Allocation
Not applicable
Ages
60 Years to 85 Years
Sex
All
01

Study summary

To explore the possibility of smart electric vehicles providing comprehensive gait assistance and improvement for patients with neurodegenerative diseases

Read the detailed description

Background: Gait abnormalities are common in patients with neurodegenerative diseases, due to the disease's impact on the brain's ability to control movement coordination and balance, increasing the risk of falls and reducing the mobility of patients. There are no specific medications for treating these gait abnormalities. Non-pharmacological gait training is crucial in improving gait abnormalities in patients with neurodegenerative diseases. Gait training can bring significant benefits, such as improving walking ability and overall health and quality of life.

As Taiwan enters a super-aged society, the number of patients with neurodegenerative diseases is growing yearly. Despite Long-Term Care 2.0 addressing this issue, there is a lack of therapists, leading to insufficient training for patients. Therefore, an innovative way to promote gait training is needed. The use of Artificial Intelligence (AI)-driven smart electric vehicles for detecting and improving gait abnormalities is becoming feasible with the advancement of AI. This technology can monitor and analyze gait in real time and provide feedback to users to improve stride, speed, or balance. The application of AI smart electric vehicles in gait training and assistance for patients with neurodegenerative diseases could span multiple settings, including hospitals and subacute rehabilitation centers, residential care institutions, home environments, and community health centers and aging community hubs.

Inventec Medical Technology's BestShape Go Intelligent Generation Transformable Electric Vehicle represents profound care for the related population and those with mobility difficulties. This smart electric vehicle has dual modes of riding and assisted walking. The assisted walking function provides users with a sense of security and appropriate guidance while immediately tracking and detecting potential danger, making it a potential AI gait training partner.

Project Objective: To explore the possibility of smart electric vehicles providing comprehensive gait assistance and improvement for patients with neurodegenerative diseases. Research Design: As a phase one study, this project tests the ability of smart electric vehicles to detect and analyze the abnormal gait of patients with neurodegenerative diseases during short-term (60 minutes) gait training, and the improvement in walking and balance when using smart electric vehicles after training.

Research Goal: To assess the effect of detection and training under the guidance of smart electric vehicles in improving the walking speed and stability of patients with neurodegenerative diseases.

Research Method: The target group consists of patients diagnosed with mild neurodegenerative diseases and walking disabilities. Selection criteria include age, walking ability, cognitive status, etc. Inventec's smart vehicle is equipped with sensors for monitoring gait and analyzing gait data through AI. Participants undergo initial gait assessment, including walking speed and balance tests, using the 6-meter Timed-up-and-Go method. They then engage in 45 minutes of gait training, using the smart electric vehicle for stride adjustment, speed control, and balance practice, with real-time feedback. Finally, participants undergo the 6-meter Timed-up-and-Go test again to compare progress. Expected Outcome: Training with the smart electric vehicle will significantly improve the walking speed and balance ability of patients with neurodegenerative diseases.

02

Conditions studied

  • Parkinson Disease
  • Dementia

Keywords

  • Neurodegenerative Diseases, Smart Electric Vehicles, Gait Training
03

In context

Parkinson Disease

4,487 studies on the registry are indexed under Parkinson Disease; 1,082 are open to participants now.

This study's enrollment of 120 is above the median of 40 across 3,294 interventional studies indexed under Parkinson Disease.

Browse Parkinson Disease studies →

Lead sponsor

Taipei Medical University Shuang Ho Hospital is the lead sponsor of 100 studies on the registry; 18 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
60 Years to 85 Years
Sexes eligible
All
Accepts healthy volunteers
No

Inclusion criteria

  1. Patients with neurodegenerative diseases(such as Parkinson's disease or dementia).
  2. Age: 60-85 years.
  3. Capable of walking to some extent, but may have mild to moderate gait disturbances.
  4. Able to understand the trial procedures and give informed consent.

Exclusion criteria

Exclusion Criteria:

  1. Unable to walk or requiring comprehensive physical support.
  2. Conditions such as heart disease, uncontrolled high blood pressure, or a history of major surgery.
  3. Severe cognitive impairment preventing understanding of the trial procedures or giving informed consent.
  4. Visual or auditory impairments severe enough to prevent following trial instructions.
  5. Participation in other clinical trials within a certain period in the past, which could affect the assessment of results.
05

Study design

Phase
Not applicable
Primary purpose
Supportive care
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
120 participants (actual)

Study arms

  • Experimental
    Treatment arm

    Gait abnormalities in patients with neurodegenerative diseases.

    Device: BestShape Go Intelligent Generation Transformable Electric Vehicle

Interventions

  • DeviceBestShape Go Intelligent Generation Transformable Electric Vehicle

    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 long-term tracking, as well as adding interactive and entertainment elements.

06

What researchers measure

Primary outcomes

  1. 6-meter Timed-up-and-Go method

    Time frame: 45 minutes of gait training

07

Study locations

1 site
  • Shuang Ho Hospital
    New Taipei City, Taiwan
08

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Dec 3, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
09

Registry details

Key details

Study ID
NCT07143006
Lead sponsor
Taipei Medical University Shuang Ho Hospital
Responsible party
Chien Tai Hong (Doctor, Professor, Principal Investigator, Taipei Medical University Shuang Ho Hospital) — Principal investigator
First posted
Aug 27, 2025
Start date
Aug 20, 2025
Primary completion
Oct 15, 2025
Completion
Oct 30, 2025
Last update
Dec 3, 2025

Study contacts

Lung Chan, MD, PhD
principal investigator · Taipei Medical University Shuang Ho Hospital

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Dec 2025. You cannot join it, but the record below documents what was studied.

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