Post–stroke kinematic analysis in functional task of the upper extremity
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 30
- 试验地点
- 1
- 主要终点
- Real-time measurement of shoulder, elbow, wrist and finger joint angles (degrees) and range of motion (degrees) during a standardized drinking-water task, recorded at a single cross-sectional visit using a Raspberry Pi–based camera system with automated video-based joint angle estimation.
研究概览
简要总结
This is an observational cross sectional study designed to record upper limb movement in stroke patients during a standardized drinking water task. A Raspberry Pi based camera system will be used to measure shoulder elbow wrist and finger joint angles and range of motion in real time. The results from this device will be compared with Kinovea software to assess agreement between the two measurement methods. The study aims to provide objective assessment of upper limb motor function in post stroke individuals and to evaluate the accuracy of the newly developed device.
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 18.00 Year(s) 至 80.00 Year(s)（—）
入选标准
- •Age 18 to 80 years 2)Gender male and female 3)Unilateral stroke patient 4)No prior deformities in joints 5)Stroke survivor 6)Healthy person.
排除标准
- •Individual who are unable to perform drinking water task or unable to lift his or her hand 2) Individual with any pre existing impairment affecting the upper extrimity 3)Participants not willing to give consent or uncooperative 4)Individual with bilatral stroke 5)Individual with conditions that are restricting kinematic analysis.
结局指标
主要结局
Real-time measurement of shoulder, elbow, wrist and finger joint angles (degrees) and range of motion (degrees) during a standardized drinking-water task, recorded at a single cross-sectional visit using a Raspberry Pi–based camera system with automated video-based joint angle estimation.
时间窗: 6 months
次要结局
- Intraclass Correlation Coefficient (ICC, two-way mixed, absolute agreement) between Raspberry Pi system & Kinovea for joint angles & ROM.
研究者
padmavathi shenoy
Manipal Institute of Technology