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

Negative and Cognitive Symptoms of Schizophrenia01:30

Negative and Cognitive Symptoms of Schizophrenia

40
Negative symptoms of schizophrenia indicate a reduction or absence of typical behaviors and emotional responses found in healthy individuals, while positive symptoms reflect an excess or distortion of normal functioning.
Negative Symptoms
Negative symptoms of schizophrenia manifest as deficits in normal emotional and behavioral functioning, profoundly impacting daily life. Individuals with schizophrenia often display a flat affect, characterized by a near-total absence of emotional expression,...
40
Schizophrenia01:17

Schizophrenia

57
Schizophrenia, a term introduced by Swiss psychiatrist Eugen Bleuler in 1911, describes a severe psychological disorder marked by profound disruptions in attention, thought processes, language, emotion, and interpersonal relationships. The core feature of schizophrenia is psychosis — a state characterized by a fundamental detachment from reality. This disconnection manifests through distorted logic, impaired perception, and atypical behavior, severely affecting the lives of those...
57

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

Real-Time Cardiac Arrhythmia Classification Using TinyML on Ultra-Low-Cost Microcontrollers: A Feasibility Study for Resource-Constrained Environments.

Bioengineering (Basel, Switzerland)·2026
Same author

Non-Glycemic Clinical Data for Type 2 Diabetes Detection in Mexican Adults: A Comparative Analysis of Atherogenic Indices, Statistical Transformations, and Machine Learning Algorithms.

Diagnostics (Basel, Switzerland)·2026
Same author

Explainable Deep Learning for Breast Lesion Classification in Digital and Contrast-Enhanced Mammography.

Diagnostics (Basel, Switzerland)·2025
Same author

Assessing ResNeXt and RegNet Models for Diabetic Retinopathy Classification: A Comprehensive Comparative Study.

Diagnostics (Basel, Switzerland)·2025
Same author

Evaluating Feature Selection Methods for Accurate Diagnosis of Diabetic Kidney Disease.

Biomedicines·2025
Same author

Setting Ranges in Potential Biomarkers for Type 2 Diabetes Mellitus Patients Early Detection By Sex-An Approach with Machine Learning Algorithms.

Diagnostics (Basel, Switzerland)·2024

相关实验视频

Updated: May 28, 2025

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment
05:19

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment

Published on: July 7, 2023

2.2K

卷积神经网络用于抑郁症和精神分裂症检测.

Carlos H Espino-Salinas1, Huizilopoztli Luna-García1, Alejandra Cepeda-Argüelles2

  • 1Laboratorio de Tecnologías Interactivas y Experiencia de Usuario, Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Zacatecas 98000, Mexico.

Diagnostics (Basel, Switzerland)
|February 13, 2025
PubMed
概括

这项研究使用卷积神经网络 (CNN) 来分析运动活动图像,在检测抑郁症和精神分裂症方面达到95%的准确性. 这种计算机视觉方法为心理健康诊断提供了一种新的非侵入性方法.

关键词:
卷积神经网络是一种卷积神经网络.抑郁 抑郁症 抑郁症 抑郁症 是一种诊断 诊断 诊断 的 诊断 诊断 诊断 的 诊断运动活动 运动活动精神分裂症是一种精神分裂症.

更多相关视频

Standardized Data Acquisition for Neuromelanin-Sensitive Magnetic Resonance Imaging of the Substantia Nigra
05:14

Standardized Data Acquisition for Neuromelanin-Sensitive Magnetic Resonance Imaging of the Substantia Nigra

Published on: September 8, 2021

3.2K
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

941

相关实验视频

Last Updated: May 28, 2025

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment
05:19

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment

Published on: July 7, 2023

2.2K
Standardized Data Acquisition for Neuromelanin-Sensitive Magnetic Resonance Imaging of the Substantia Nigra
05:14

Standardized Data Acquisition for Neuromelanin-Sensitive Magnetic Resonance Imaging of the Substantia Nigra

Published on: September 8, 2021

3.2K
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

941

科学领域:

  • 人工智能的人工智能
  • 计算机视觉 计算机视觉
  • 心理健康诊断 心理健康诊断

背景情况:

  • 诸如抑郁症和精神分裂症之类的心理健康障碍可以通过微妙的运动活动变化来表现.
  • 传统的诊断方法可能涉及主观自我报告或侵入性程序.

研究的目的:

  • 开发一个卷积神经网络 (CNN) 模型来检测抑郁症和精神分裂症.
  • 利用运动活动模式,以图像形式可视化,用于精神障碍的分类.
  • 为心理健康诊断创建一个非侵入性支持工具.

主要方法:

  • 运动活动数据被捕获并转化为图像表示.
  • 一个CNN模特在这些视觉运动模式上接受了训练和测试.
  • 用三重交叉验证来评估模型性能.

主要成果:

  • 美国有线电视新闻网 (CNN) 模型在分类心理健康状况方面达到95%的平均准确率.
  • CNNs成功地确定了区分性运动活动特征,区分了患者群体.
  • 该方法在区分患有抑郁症,精神分裂症和健康对照个体方面表现出有效性.

结论:

  • 计算机视觉和深度神经网络显示出早期,非侵入性精神健康诊断的巨大潜力.
  • 通过CNN进行运动活动分析可以作为心理健康支持的宝贵工具.
  • 这种方法为客观评估心理状况提供了一个有希望的途径.