辅助与康复技术中的数据处理与机器学习
Data Processing and Machine Learning for Assistive and Rehabilitation Technologies.
作者信息
Tigrini Andrea, Sbrollini Agnese, Mengarelli Alessandro
机构信息
Department of Information Engineering, Università Politecnica delle Marche, Via Brecce Bianche 12, 60131 Ancona, Italy.
出版信息
Bioengineering (Basel). 2025 Jan 15;12(1):70. doi: 10.3390/bioengineering12010070.
Abstract
This Special Issue (SI), "Data Processing and Machine Learning for Assistive and Rehabilitation Technologies", aimed to collect cutting-edge research papers that frame how data-driven approaches and machine learning techniques are advancing the field of assistive and rehabilitation technologies [...].
摘要
本期特刊《辅助与康复技术中的数据处理与机器学习》旨在收集前沿研究论文，阐述数据驱动方法和机器学习技术如何推动辅助与康复技术领域的发展[...]。
相似文献
1
Data Processing and Machine Learning for Assistive and Rehabilitation Technologies.辅助与康复技术中的数据处理与机器学习
Bioengineering (Basel). 2025 Jan 15;12(1):70. doi: 10.3390/bioengineering12010070.
2
Cutting-edge communication and learning assistive technologies for disabled children: An artificial intelligence perspective.面向残疾儿童的前沿通信与学习辅助技术：人工智能视角
Front Artif Intell. 2022 Oct 28;5:970430. doi: 10.3389/frai.2022.970430. eCollection 2022.
3
Data driven identification of international cutting edge science and technologies using SpaCy.利用 SpaCy 进行数据驱动的国际前沿科学技术识别。
PLoS One. 2022 Oct 12;17(10):e0275872. doi: 10.1371/journal.pone.0275872. eCollection 2022.
4
Discernment on assistive technology for the care and support requirements of older adults and differently-abled individuals.辅助技术在满足老年人和残障人士的护理和支持需求方面的甄别。
Front Public Health. 2023 Jan 9;10:1030656. doi: 10.3389/fpubh.2022.1030656. eCollection 2022.
5
The experiences of the elderly regarding the use of rehabilitation assistive technologies: a directed qualitative content analysis.老年人使用康复辅助技术的体验：有针对性的定性内容分析。
Disabil Rehabil Assist Technol. 2024 Nov;19(8):2857-2868. doi: 10.1080/17483107.2024.2313081. Epub 2024 Feb 8.
6
A scoping review of the use of intelligent assistive technologies in rehabilitation practice with older adults.老年人康复实践中智能辅助技术使用的范围综述。
Disabil Rehabil Assist Technol. 2024 Jul;19(5):1817-1848. doi: 10.1080/17483107.2023.2239277. Epub 2023 Jul 27.
7
A survey of research trends in assistive technologies using information modelling techniques.辅助技术研究趋势的调查：信息建模技术的应用。
Disabil Rehabil Assist Technol. 2022 Aug;17(6):605-623. doi: 10.1080/17483107.2020.1817992. Epub 2020 Sep 30.
8
Empowering students with dysgraphia: the educational benefits of assistive technologies.助力书写障碍学生：辅助技术的教育益处
Disabil Rehabil Assist Technol. 2025 Apr 23:1-12. doi: 10.1080/17483107.2025.2493737.
9
Introducing JMIR Rehabilitation and Assistive Technologies: A Venue for Publishing Interdisciplinary Research on the Development, Implementation, and Evaluation of Health Innovations and Emerging Technologies in the Field of Rehabilitation.介绍《JMIR康复与辅助技术》：一个发表关于康复领域健康创新和新兴技术的开发、实施及评估的跨学科研究的平台。
JMIR Rehabil Assist Technol. 2024 Apr 22;11:e56348. doi: 10.2196/56348.
10
Machine Learning Approaches for Activity Recognition and/or Activity Prediction in Locomotion Assistive Devices-A Systematic Review.用于助行器中的活动识别和/或活动预测的机器学习方法——系统综述。
Sensors (Basel). 2020 Nov 6;20(21):6345. doi: 10.3390/s20216345.
引用本文的文献
1
Can deep learning technology really recognize Mpox? A positive response from the EfficientNet model.深度学习技术真的能识别猴痘吗？来自EfficientNet模型的肯定回答。
Front Microbiol. 2025 Aug 11;16:1627311. doi: 10.3389/fmicb.2025.1627311. eCollection 2025.
本文引用的文献
1
Artificial Intelligence Models for the Automation of Standard Diagnostics in Sleep Medicine-A Systematic Review.用于睡眠医学标准诊断自动化的人工智能模型——一项系统综述
Bioengineering (Basel). 2024 Feb 22;11(3):206. doi: 10.3390/bioengineering11030206.
2
Neural Plasticity Changes Induced by Motor Robotic Rehabilitation in Stroke Patients: The Contribution of Functional Neuroimaging.运动机器人康复对中风患者神经可塑性变化的影响：功能神经影像学的作用
Bioengineering (Basel). 2023 Aug 21;10(8):990. doi: 10.3390/bioengineering10080990.
3
An Approach to Binary Classification of Alzheimer's Disease Using LSTM.一种使用长短期记忆网络（LSTM）对阿尔茨海默病进行二元分类的方法。
Bioengineering (Basel). 2023 Aug 9;10(8):950. doi: 10.3390/bioengineering10080950.
4
Data-Driven Quantitation of Movement Abnormality after Stroke.基于数据驱动的中风后运动异常定量分析
Bioengineering (Basel). 2023 May 26;10(6):648. doi: 10.3390/bioengineering10060648.
5
Empowering Hand Rehabilitation with AI-Powered Gesture Recognition: A Study of an sEMG-Based System.借助人工智能手势识别技术助力手部康复：一项基于表面肌电信号系统的研究
Bioengineering (Basel). 2023 May 6;10(5):557. doi: 10.3390/bioengineering10050557.
6
Fast Optical Signals for Real-Time Retinotopy and Brain Computer Interface.用于实时视网膜拓扑映射和脑机接口的快速光信号
Bioengineering (Basel). 2023 May 5;10(5):553. doi: 10.3390/bioengineering10050553.
7
Machine Learning and Explainable Artificial Intelligence Using Counterfactual Explanations for Evaluating Posture Parameters.使用反事实解释评估姿势参数的机器学习与可解释人工智能
Bioengineering (Basel). 2023 Apr 24;10(5):511. doi: 10.3390/bioengineering10050511.
8
Exploring the Role of Visual Guidance in Motor Imagery-Based Brain-Computer Interface: An EEG Microstate-Specific Functional Connectivity Study.探索视觉引导在基于运动想象的脑机接口中的作用：一项基于脑电图微状态的特定功能连接性研究。
Bioengineering (Basel). 2023 Feb 21;10(3):281. doi: 10.3390/bioengineering10030281.
9
A New Wrist-Forearm Rehabilitation Protocol Integrating Human Biomechanics and SVM-Based Machine Learning for Muscle Fatigue Estimation.一种整合人体生物力学和基于支持向量机的机器学习以估计肌肉疲劳的新手腕-前臂康复方案。
Bioengineering (Basel). 2023 Feb 6;10(2):219. doi: 10.3390/bioengineering10020219.
Zotero 插件