Smartphone-based gait assessment to infer Parkinson's disease severity using crowdsourced data
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/8187165/8227561/08227621.pdf?arnumber=8227621
Cited by 16 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. Classification of Parkinson’s disease from smartphone recording data using time-frequency analysis and convolutional neural network;Technology and Health Care;2023-03-15
2. Detecting Parkinson disease features with walking activity data;18th International Symposium on Medical Information Processing and Analysis;2023-03-06
3. DeePaGait: Motor Assessment of Parkinson’s Disease Using a Multi-Layer 1D Convolutional Neural Network on Smartphone Gait Data;2022 IEEE International Conference on Big Data (Big Data);2022-12-17
4. A Computerized Analysis with Machine Learning Techniques for the Diagnosis of Parkinson’s Disease: Past Studies and Future Perspectives;Diagnostics;2022-11-05
5. A Ranking-based Weakly Supervised Learning model for telemonitoring of Parkinson’s disease;IISE Transactions on Healthcare Systems Engineering;2022-06-29
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