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*[Zare, S.; Beaber, S.I.; Sun, Y. NeuroFlex: Feasibility of EEG-Based Motor Imagery Control of a Soft Glove for Hand Rehabilitation. Sensors 2025, 25, 610. https://doi.org/10.3390/s25030610](https://www.mdpi.com/1424-8220/25/3/610)
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*[R. L. Nierva et al., "A Scalable BLE-Based Signal Acquisition System for Wearable Devices," 2024 31st IEEE International Conference on Electronics, Circuits and Systems (ICECS), Nancy, France, 2024, pp. 1-4, doi: 10.1109/ICECS61496.2024.10849085. keywords: {Electrocardiography;Feature extraction;Electromyography;Electroencephalography;User experience;Registers;Synchronization;Wearable devices;Root mean square;Ganglia;wearable devices;OpenBCI;Bluetooth Low Energy;biopotential signals;feature extraction;BrainFlow},](https://ieeexplore.ieee.org/abstract/document/10849085/references#references)
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*[A. Kremenska, A. Lekova and G. Dimitrov, "Validating the OpenBCI Nodes within the Node-RED Library through an EEG-based BCI Application for IoT," 2024 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), Split, Croatia, 2024, pp. 1-6, doi: 10.23919/SoftCOM62040.2024.10721977. keywords: {Measurement;Visualization;Programming;Manipulators;Libraries;Software;Peer-to-peer computing;Telecommunications;Internet of Things;Synchronization;EEG-based Brain Computer Interface;BCI Software Platforms;BrainFlow;Node-RED;OpenBCI}](https://ieeexplore.ieee.org/document/10721977)
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*[Abdul Basit, Maha Nawaz, Saim Rehman, Muhammad Shafique, CognitiveArm: Enabling Real-Time EEG-Controlled Prosthetic Arm Using Embodied Machine Learning](https://arxiv.org/pdf/2508.07731)
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