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Updated: Jul 11, 2026

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
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A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

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早期坚持生物反培训预测中风患者的长期改善:一种机器学习方法

Nandini Sengupta1, Rezaul Begg2, Aravinda S Rao1

  • 1Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, Victoria, Australia.

PloS one
|November 13, 2025
PubMed
概括

早期分析生物反跑步机训练使用最小脚隙 (MFC) 可以预测中风康复结果. 新的指标准确地识别了可能改善的患者,指导了个性化的干预措施.

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相关概念视频

Survival Tree01:19

Survival Tree

Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a survival tree begins...