Deep Learning Brain Model | 深度学习大脑模型

Introduction

The Deep Learning Brain Model estimates the spatiotemporal distribution of brain strain from six-axis head kinematics measured by wearable devices such as instrumented mouthguards. By using linear acceleration and angular velocity as inputs, the model provides rapid brain-strain calculation for head-impact events and supports downstream analysis of traumatic brain injury risk.

If you are interested in using the model or collaborating with us, please contact us.

中文介绍

深度学习大脑模型可根据智能牙套等可穿戴设备采集到的头部六轴运动，快速计算头部碰撞过程中大脑应变的时空分布。该模型以头部线加速度和角速度为输入，输出大脑组织层面的应变响应，可用于创伤性脑损伤风险评估和头部冲击数据分析。

如需使用该模型或开展合作，请联系我们。

Related Publications

• Rapid Estimation of Entire Brain Strain Using Deep Learning Models
• Finding the Spatial Co-Variation of Brain Deformation With Principal Component Analysis
• Brain Deformation Estimation With Transfer Learning for Head Impact Datasets Across Impact Types
• Adaptive Machine Learning Head Model Across Different Head Impact Types Using Unsupervised Domain Adaptation and Generative Adversarial Networks
• AI-Based Denoising of Head Impact Kinematics Measurements With Convolutional Neural Network for Traumatic Brain Injury Prediction