Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Autism Spectrum Disorder01:19

Autism Spectrum Disorder

88
Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.
88

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

JOINclusion: A serious mobile game for promoting ethnocultural empathy in schools.

The British journal of developmental psychology·2026
Same author

Editorial: Between emotional regulation and dysregulation: perspectives, interventions, tools and technologies for psychological well-being.

Frontiers in behavioral neuroscience·2026
Same author

Early axonal injury in fentanyl intoxication.

Acta neuropathologica communications·2026
Same author

Amyloid plaques associated with shift in patterns of hippocampal tau pathology in middle age.

Journal of Alzheimer's disease : JAD·2026
Same author

Neuropathologic Characterisation of Mitochondrial Membrane Protein-Associated Neurodegeneration (MPAN) With Coexisting α-Synuclein and Tau Pathology in a Young Adult.

Neuropathology and applied neurobiology·2026
Same author

Navigation and spatial learning in Hermann's tortoises: Insights from geometric reorientation.

Journal of experimental psychology. Animal learning and cognition·2026
Same journal

Invaders taking over-Mollusc faunal change in volcanic barrier lakes of the Albertine Rift biodiversity hotspot.

PloS one·2026
Same journal

AI-driven molecular diversification and ligand-based optimization of macitentan derivatives targeting VEGFR1 and endothelin signaling pathways.

PloS one·2026
Same journal

Performance patterns and records in the world aquatics masters championships: Where do the most frequently represented nations among the top-ten masters swimmers come from?

PloS one·2026
Same journal

Modeling diurnal Temperature-Rainfall relationships under multicollinearity using PLS-SEM: A case study of Ghana.

PloS one·2026
Same journal

Organizational culture, social capital, and emergency capacity in primary healthcare institutions: A cross-sectional structural equation modeling study comparing ordinary and older communities.

PloS one·2026
Same journal

Impact of kidney function on the metabolome in the general population.

PloS one·2026
查看所有相关文章

相关实验视频

Updated: Jun 28, 2025

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable
09:24

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable

Published on: May 17, 2024

1.4K

通过机器学习改善早期自闭症诊断:探索用于分类的原始运动数据.

Maria Luongo1, Roberta Simeoli1,2, Davide Marocco1

  • 1Department of Humanistic Study, Natural and Artificial Cognition Lab, University of Naples Federico II, Naples, Italy.

PloS one
|April 22, 2024
PubMed
概括
此摘要是机器生成的。

机器学习对运动模式的分析显示了自闭症诊断的前景. 即使是简单的原始坐标数据也取得了良好的准确性,尽管包括加速提高了分类性能.

更多相关视频

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
11:14

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

10.9K
Use of a Video Scoring Anchor for Rapid Serial Assessment of Social Communication in Toddlers
09:16

Use of a Video Scoring Anchor for Rapid Serial Assessment of Social Communication in Toddlers

Published on: March 14, 2018

10.2K

相关实验视频

Last Updated: Jun 28, 2025

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable
09:24

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable

Published on: May 17, 2024

1.4K
A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
11:14

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

10.9K
Use of a Video Scoring Anchor for Rapid Serial Assessment of Social Communication in Toddlers
09:16

Use of a Video Scoring Anchor for Rapid Serial Assessment of Social Communication in Toddlers

Published on: March 14, 2018

10.2K

科学领域:

  • 神经科学是一个神经科学.
  • 计算心理学 计算心理学
  • 生物医学工程 生物医学工程

背景情况:

  • 自闭症诊断过程传统上依赖于临床观察.
  • 机器学习为分析行为数据提供客观方法.
  • 运动分析,特别是运动模式,越来越被认为是自闭症的潜在生物标志物.

研究的目的:

  • 利用运动数据探索用于自闭症诊断的新型机器学习模型.
  • 为了比较分析原始电机轨迹坐标与包括速度和加速的有效性.
  • 评估运动特征对自闭症分类准确性的影响.

主要方法:

  • 使用基于游戏的平板电脑应用程序在"拖放"任务中收集运动数据.
  • 采用人工神经网络来分析原始运动轨迹.
  • 比较一个两个特征模型 (原始坐标) 与一个四个特征模型 (坐标,速度,加速).

主要成果:

  • 两种特征和四种特征模型都在分类电机轨迹方面表现出有希望的准确性.
  • 四个特征模型 (0.90准确度) 始终优于两个特征模型 (0.76准确度).
  • 原始数据分析显示了客观评估自闭症相关运动行为的潜力.

结论:

  • 机器学习分析运动数据,即使使用基本功能,也可以帮助自闭症诊断过程.
  • 结合加速等动力学特征可以提高分类准确性.
  • 需要对更大的样本进行进一步的研究,以完善这些用于自闭症评估的智能工具.