在健康受试者,患者和术后受试者中,基于机器学习的关节运动时刻的预测
Mattia Perrone1,2, Steven P Mell1, John Martin1
1Department of Orthopedic Surgery, Rush Medical College of Rush University, Rush University Medical Center, Chicago, Illinois, USA.
Computer methods in biomechanics and biomedical engineering
|February 8, 2024
概括
机器学习,特别是长期短期记忆 (LSTM) 模型,可以从移动捕捉数据准确预测关节的时刻. 这种人工智能方法在生物力学研究中对不同患者群体有很大的希望.
科学领域:
- 生物力学 生物力学
- 机器学习 机器学习
- 动作捕捉是一种动作捕捉技术.
背景情况:
- 机器学习越来越多地用于移动捕捉研究.
- 预测诸如关节运动时刻 (HJM) 等生物力学参数对于分析人类运动至关重要.
- 现有的方法在不同种群中可能存在局限性.
研究的目的:
- 实施一个长期短期记忆 (LSTM) 模型,用于预测斜腰平面关节运动 (HJM).
- 评估LSTM模型在三个不同的队列中的表现:健康的对照组,患者和术后患者.
- 为了验证模型对反向动态的预测,被认为是黄金标准.
主要方法:
- 使用3D运动捕捉和力板数据作为输入.
- 开发并实施了长期短期记忆 (LSTM) 神经网络架构.
- 采用统计参数映射与配对样本 t 测试用于对逆动态进行比较分析.
主要成果:
- LSTM模型在所有三个队列中都表现出了有利的预测性能.
- 该模型成功地将其预测能力推广到不同学科群体.
- 统计比较证实了该模型相对于黄金标准的准确性.
结论:
- 使用移动捕捉数据,LSTM模型有效预测关节的时刻.
- 开发的模型显示在健康,患者和术后人群中具有强烈的概括性.
- 这种方法为临床和研究环境中先进的生物力学分析提供了有前途的工具.
相关概念视频
01:09Functional Classification of Joints
4.1K
Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An...
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An...
4.1K
01:20Structural Classification of Joints
3.4K
Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
A fibrous joint is where the adjacent bones are united by fibrous connective...
3.4K
01:03Prediction Intervals
2.3K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
2.3K