Parkinson DiseaseNCT07143006
Application of Smart Electric Vehicles in Analyzing Gait Abnormalities in Patients With Neurodegenerative Diseases
A study of Parkinson Disease and Dementia, run by Taipei Medical University Shuang Ho Hospital at 1 site in Taiwan.
Trial summary
To explore the possibility of smart electric vehicles providing comprehensive gait assistance and improvement for patients with neurodegenerative diseases Read more about this study
- Who is it for?
- Ages 60 to 85 years
- Conditions the study is for
- Parkinson Disease, Dementia
- Type of treatment
- Medical device
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 120 participants
- Where
- 1 siteTaiwan
- Study dates
- 20 Aug 2025to 30 Oct 2025
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 60 to 85 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Patients with neurodegenerative diseases(such as Parkinson's disease or dementia).
- Age: 60-85 years.
- Capable of walking to some extent, but may have mild to moderate gait disturbances.
- Able to understand the trial procedures and give informed consent.
Who cannot join
- Unable to walk or requiring comprehensive physical support.
- Conditions such as heart disease, uncontrolled high blood pressure, or a history of major surgery.
- Severe cognitive impairment preventing understanding of the trial procedures or giving informed consent.
- Visual or auditory impairments severe enough to prevent following trial instructions.
- Participation in other clinical trials within a certain period in the past, which could affect the assessment of results.
Trial locations and contacts
1 site in 1 country.
About this study
Official title: 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
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.
- Conditions
- Parkinson Disease, Dementia
- Being tested
- BestShape Go Intelligent Generation Transformable Electric Vehicle
- Keywords
- Neurodegenerative Diseases, Smart Electric Vehicles, Gait Training
- Medical subject headings
- Parkinson Disease, Dementia, Neurodegenerative Diseases
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
BestShape Go Intelligent Generation Transformable Electric VehicleDevice
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.
| Study group | Role | What they receive |
|---|---|---|
| Treatment arm | Experimental | Gait abnormalities in patients with neurodegenerative diseases. Receives: Device: BestShape Go Intelligent Generation Transformable Electric Vehicle |
What is being measured
The primary outcome is the main question the study is designed to answer.
6-meter Timed-up-and-Go method
Measured: 45 minutes of gait training
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted27 Aug 2025
- Study start20 Aug 2025
- Primary completion15 Oct 2025
- Study completion30 Oct 2025
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Parkinson DiseaseStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Supportive care
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Enrolment
- 120 participants (actual)
Sponsor and investigators
- Lead sponsor
- Taipei Medical University Shuang Ho Hospital
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Chien Tai Hong, Taipei Medical University Shuang Ho Hospital
- Investigators
- Lung Chan, MD, PhD, Principal investigator, Taipei Medical University Shuang Ho Hospital
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07143006
- Sponsor's protocol ID
- N202402036
- Status last verified
- Dec 2025
- First submitted
- 20 Aug 2025
- Last updated
- 3 Dec 2025
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
Study at a glance
From the registry record, last updated by the sponsor on 3 Dec 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- 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
- ClinicalTrials.gov ID
- NCT07143006
- Acronym / sponsor ID
- N202402036
- Conditions
- Parkinson Disease, Dementia
- Keywords
- Neurodegenerative Diseases, Smart Electric Vehicles, Gait Training
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 120 participants (actual)
- Lead sponsor
- Taipei Medical University Shuang Ho HospitalUniversity, hospital or other
- Study start
- 20 Aug 2025 (actual)
- Primary completion
- 15 Oct 2025 (actual)
- Study completion
- 30 Oct 2025 (actual)
- First posted
- 27 Aug 2025 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Study design
- Primary purpose
- Supportive care
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Treatment arm | Experimental | Device: BestShape Go Intelligent Generation Transformable Electric VehicleGait abnormalities in patients with neurodegenerative diseases. |
Who may qualify
- Ages
- 60 to 85 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (4 listed)
- Patients with neurodegenerative diseases(such as Parkinson's disease or dementia).
- Age: 60-85 years.
- Capable of walking to some extent, but may have mild to moderate gait disturbances.
- Able to understand the trial procedures and give informed consent.
Key exclusion criteria (5 listed)
- Unable to walk or requiring comprehensive physical support.
- Conditions such as heart disease, uncontrolled high blood pressure, or a history of major surgery.
- Severe cognitive impairment preventing understanding of the trial procedures or giving informed consent.
- Visual or auditory impairments severe enough to prevent following trial instructions.
- Participation in other clinical trials within a certain period in the past, which could affect the assessment of results.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| BestShape Go Intelligent Generation Transformable Electric VehicleThe 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. | Device | Treatment arm |
Primary outcome
6-meter Timed-up-and-Go method
Time frame: 45 minutes of gait training
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 3 Dec 2025.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Lung Chan, MD, PhD principal investigator
Taipei Medical University Shuang Ho Hospital
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study of Parkinson Disease and Dementia, run by Taipei Medical University Shuang Ho Hospital at 1 site in Taiwan.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 5 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 3 Dec 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Taiwan. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
6-meter Timed-up-and-Go method (time frame: 45 minutes of gait training). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 3 Dec 2025.