Recurrent Neural Networks for Windlass Mechanism Subphase Recognition and Anthropometric Angles Monitoring
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 35
- 试验地点
- 1
- 主要终点
- Metatarsophalangeal Joint Angle
研究概览
简要总结
This study measures the medial longitudinal arch angle and the metatarsophalangeal angle during the gait cycle in 35 healthy participants using speed cameras and reflective markers placed on anthropometric points.
详细描述
The medial longitudinal arch angle comprises the calcaneus, navicular tuberosity, and the head of the 1st metatarsal, while the metatarsophalangeal angle comprises the head of the 1st metatarsal and the proximal interphalangeal joint of the toe. These measurements provide valuable information on the stress of the plantar fascia.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 43 Years（Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Healthy participants
- •Aged between 18 and 43 years
- •Foot sizes ranging from US 5 to 12
- •Body weights between 53 to 125 kg
- •Heights from 1.49 to 1.90 m
- •BMI ranging from 21.8 to 39.9 kg/m².
排除标准
- •Pes planus (flatfoot)
- •Pes cavus (high-arched foot)
- •Valgus rearfoot
- •Varus rearfoot
- •Foot deformities
结局指标
主要结局
Metatarsophalangeal Joint Angle
时间窗: Baseline
This angle comprises the supplementary angle formed by the first metatarsal head, posterior calcaneus, and proximal interphalangeal. The angle is measured using a marker-based motion capture system with blue markers placed on these points and recorded with cameras operating at 60 frames per second. A centroid-based landmark detection algorithm determines the centroid coordinates and applies trigonometric functions to each frame to calculate the angle in degrees with a precision of two decimal places.
Medial Longitudinal Arch Angle
时间窗: Baseline
This angle is defined by the anthropometric landmarks of the calcaneus, the navicular tuberosity, and the head of the first metatarsal. The angle is measured using a marker-based motion capture system with blue markers placed on these points and recorded with cameras operating at 60 frames per second. A centroid-based landmark detection algorithm determines the centroid coordinates and applies trigonometric functions to each frame to calculate the angle in degrees with a precision of two decimal places.
次要结局
未报告次要终点
研究者
Gabriel Trujillo-Hernández
Research-Professor
Universidad Politécnica de Baja California