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
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 120
- 试验地点
- 1
- 主要终点
- 6-meter Timed-up-and-Go method
研究概览
简要总结
To explore the possibility of smart electric vehicles providing comprehensive gait assistance and improvement for patients with neurodegenerative diseases
详细描述
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.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Supportive Care
- 盲法
- None
入排标准
- 年龄范围
- 60 Years 至 85 Years(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •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.
排除标准
- •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.
研究组 & 干预措施
Treatment arm
Gait abnormalities in patients with neurodegenerative diseases.
干预措施: BestShape Go Intelligent Generation Transformable Electric Vehicle (Device)
结局指标
主要结局
6-meter Timed-up-and-Go method
时间窗: 45 minutes of gait training
次要结局
未报告次要终点
研究者
Chien Tai Hong
Doctor, Professor, Principal Investigator
Taipei Medical University Shuang Ho Hospital
