Data augmentation of wearable sensor data for parkinson’s disease monitoring using convolutional neural networks
Author:
Affiliation:
1. University of Waterloo, Canada
2. LMU Munich, Germany
3. TU Munich, Germany
4. Schön Klinik München Schwabing, Germany
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3136755.3136817
Reference20 articles.
1. Microsoft Band 2. 2015. https://www.microsoft.com/microsoft-band/ Microsoft Band 2. 2015. https://www.microsoft.com/microsoft-band/
2. Ken Chatfield Karen Simonyan Andrea Vedaldi and Andrew Zisserman. 2014. Return of the Devil in the Details: Delving Deep into Convolutional Nets. CoRR abs/1405.3531 (2014). Ken Chatfield Karen Simonyan Andrea Vedaldi and Andrew Zisserman. 2014. Return of the Devil in the Details: Delving Deep into Convolutional Nets. CoRR abs/1405.3531 (2014).
3. Data Augmentation for Deep Neural Network Acoustic Modeling
4. Free-living monitoring of Parkinson's disease: Lessons from the field
5. Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment
Cited by 264 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. QCLR: Quantum-LSTM contrastive learning framework for continuous mental health monitoring;Expert Systems with Applications;2024-03
2. Prediction of freezing of gait based on self-supervised pretraining via contrastive learning;Biomedical Signal Processing and Control;2024-03
3. Improving biosensor accuracy and speed using dynamic signal change and theory-guided deep learning;Biosensors and Bioelectronics;2024-02
4. A deep learning based health index construction method with contrastive learning;Reliability Engineering & System Safety;2024-02
5. Machine Learning in the Parkinson’s disease smartwatch (PADS) dataset;npj Parkinson's Disease;2024-01-05
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3