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

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

Novel echocardiographic markers for the assessment of pulmonary hypertension in infants.

Journal of perinatology : official journal of the California Perinatal Association·2026
Same author

Association of Food Insecurity and ADHD in Children: Insights from the National Survey of Children's Health.

Academic pediatrics·2026
Same author

Selective Correlation Based Knowledge Distillation for Ground Reaction Force Estimation.

Measurement : journal of the International Measurement Confederation·2026
Same author

Repeated device-based measures of daily movement, sedentary behavior, and sleep at 6 months postpartum: the Pregnancy Environment and Lifestyle Study-2 cohort.

Sleep advances : a journal of the Sleep Research Society·2026
Same author

Safety of Sildenafil in Premature Infants with Severe Bronchopulmonary Dysplasia (SILDI-SAFE): A Randomized Controlled Trial.

The Journal of pediatrics·2026
Same author

Wired from the womb: a narrative review of fetal and neonatal connectomics via fMRI and emerging neurotechnologies.

Pediatric research·2026
Same journal

Deep infant brain segmentation from multi-contrast MRI.

Conference record. Asilomar Conference on Signals, Systems & Computers·2026
Same journal

Physics-driven Learned Deconvolution of Multi-spectral Cellular MRI with Radial Sampling.

Conference record. Asilomar Conference on Signals, Systems & Computers·2025
Same journal

Multilevel State-Space Models Enable High Precision Event Related Potential Analysis.

Conference record. Asilomar Conference on Signals, Systems & Computers·2024
Same journal

A novel method for 12-lead ECG reconstruction.

Conference record. Asilomar Conference on Signals, Systems & Computers·2024
Same journal

A mechanistically interpretable model of the retinal neural code for natural scenes with multiscale adaptive dynamics.

Conference record. Asilomar Conference on Signals, Systems & Computers·2023
Same journal

A Hybrid Scattering Transform for Signals with Isolated Singularities.

Conference record. Asilomar Conference on Signals, Systems & Computers·2022
查看所有相关文章

相关实验视频

Updated: Jul 19, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.3K

拓知识蒸用于可穿戴传感器数据.

Eun Som Jeon1, Hongjun Choi1, Ankita Shukla1

  • 1Geometric Media Lab, School of Arts, Media and Engineering and School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85281 USA.

Conference record. Asilomar Conference on Signals, Systems & Computers
|August 16, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种用于可穿戴传感器数据的新型知识蒸策略. 通过将深度学习与拓数据分析相结合,新方法显著提高了健康洞察力的模型性能.

关键词:
知识的蒸知识的蒸.时间序列数据分析 时间序列数据分析拓学数据分析数据分析.可穿戴式传感器数据数据

更多相关视频

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment
10:03

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

Published on: July 22, 2022

4.5K
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.7K

相关实验视频

Last Updated: Jul 19, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.3K
Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment
10:03

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

Published on: July 22, 2022

4.5K
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.7K

科学领域:

  • 可穿戴式传感器技术的技术.
  • 机器学习在医疗保健中的应用.
  • 拓学数据分析的分析.

背景情况:

  • 可穿戴传感器产生有价值的健康数据,但面临的挑战是灵敏度,可变性和采样率.
  • 深度学习模型显示出希望,但与可穿戴数据的独特问题作斗争.
  • 拓数据分析 (TDA) 提供了强大的特征提取,但面临着计算方面的挑战.

研究的目的:

  • 开发一个紧,强大的机器学习模型,用于可穿戴传感器数据分析.
  • 解决TDA在可穿戴应用中的计算局限性.
  • 为了提高在边缘设备上部署的模型的性能.

主要方法:

  • 提出了一个知识蒸 (KD) 策略,使用两个教师模型:一个是原始时间序列数据,另一个是拓特征 (持久图像).
  • 实施了化策略和适应温度,以实现教师异质知识整合.
  • 提炼了一个紧的学生模型,只能使用时间序列数据进行部署.

主要成果:

  • 蒸的学生模型显示显著提高了表现.
  • 结合TDA教师的持久性特征,提高了模型的准确性.
  • 该方法成功地将深度学习与拓特征融合在一起,用于有效的可穿戴数据分析.

结论:

  • 拟议的KD战略有效地将拓特征集成到可穿戴数据的深度学习模型中.
  • 这种方法产生了适合边缘设备部署的坚固,紧的模型.
  • 这项研究提供了一种新的方法来增强可穿戴传感器的健康洞察力.