Skip to content

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

Innovative Application of Advanced Intelligent Electric Vehicles in Detecting and Analyzing Gait Abnormalities in Patients With Neurodegenerative Diseases, and Adding Value to the Creation of Improved Walking and Balance

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07143006
Enrollment
120
Registered
2025-08-27
Start date
2025-08-20
Completion date
2025-10-30
Last updated
2025-12-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Dementia, Parkinson Disease

Keywords

Neurodegenerative Diseases, Smart Electric Vehicles, Gait Training

Brief summary

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

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.

Interventions

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.

Sponsors

Taipei Medical University Shuang Ho Hospital
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
SUPPORTIVE_CARE
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
60 Years to 85 Years
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

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.

Design outcomes

Primary

MeasureTime frame
6-meter Timed-up-and-Go method45 minutes of gait training

Countries

Taiwan

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026