An IoT approach for integration of computational intelligence and wearable sensors for Parkinson’s disease diagnosis and monitoring

Author:

Romero Luis Eduardo,Chatterjee ParagORCID,Armentano Ricardo Luis

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering,Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Reference32 articles.

Cited by 48 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. Disease Monitoring and Management;Advances in Medical Technologies and Clinical Practice;2024-04-19

2. Bias Mitigation in Federated Learning for Edge Computing;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2023-12-19

3. Forecasting glycaemia for type 1 diabetes mellitus patients by means of IoMT devices;Internet of Things;2023-12

4. Mini review about metal organic framework (MOF)-based wearable sensors: Challenges and prospects;Heliyon;2023-11

5. An IoT Integrated Machine Learning Approach for Consistent Monitoring and Treatment of Parkinson’s Disease;2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE);2023-11-01

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