Dynamic Neck Function During Gait in Patients With Dizziness
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 110
- 试验地点
- 1
- 主要终点
- Accelerometer data (anteroposteriorly, mediolaterally and vertically) and gyrometer data (yaw, pitch and roll).
研究概览
简要总结
This study aims to explore the possible association between dizziness and head-on trunk-movements and thus, neck movement and if this differs to healthy controls. Additional, the study will examine the reliability and validity of using wearable accelerometers to examine how the head moves relative to the trunk and to collect normative data on head on trunk movement.
详细描述
Patients with dizziness will be recruited from a ear-nose and throat clinic. After giving written consent the patients will be tested with wearable sensors on their occiput and C6 vertebra during gait. Healthy controls will be recruited from students and employees at the Western Norway University of Applied Science and go through the same protocol as the patients.
The investigators will measure the relationship between the two sensors to explore how patients with dizziness move their-on-trunk during gait.
The projects main hypothesis is that patient with dizziness have reduced attenuation of gait-associated head oscillations with increased coupling of head-on-trunk motion, compared to healthy controls. The neck does not compensate for trunk movements, causing the head to follow the movement of the trunk.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 18 Years 至 67 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Locally referred Patients to an ear-nose-and throat (ENT) clinic at an University Hospital for dizziness symptoms.
排除标准
- •Any severe neurologic or orthopedic disease affecting gait.
结局指标
主要结局
Accelerometer data (anteroposteriorly, mediolaterally and vertically) and gyrometer data (yaw, pitch and roll).
时间窗: Baseline
The outcome is the difference/regression between the sensor placed on the participant head and the sensor placed on the participants C6 vertebra. The method of measuring gait using body-worn inertial sensors has been found reliable and valid. This project will use Opal sensors and the Mobility Lab software from the manufacturer APDM (https://www.apdm.com/wearable-sensors/).
Video analysis: Three-dimensional motion capture
时间窗: Baseline
Three-dimensional motion capture is considered the gold standard of movement analysis. Using this method, reflective markers are placed on specified body landmarks. The subject is then filmed from different angles using several cameras, allowing for analysis of the markers relative to one another. Both rotation and acceleration is captured this way. The project will use an eight-camera system from Qualisys, with analyses performed using Visual 3D software.
次要结局
- Vertigo symptom Scale - Short form(Baseline)
- Neck Disability Index (NDI)(Baseline)
- Dizziness Handicap Inventory (DHI)(Baseline)
- Numeric pain rating scale (NPRS)(Baseline)