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Rehab-Net: Deep Learning Framework for Arm Movement Classification Using Wearable Sensors for Stroke Rehabilitation.

, , , , , , and . IEEE Trans. Biomed. Eng., 66 (11): 3026-3037 (2019)

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Let's do this together: Bi-Manu-Interact, a novel device for studying human haptic interactive behavior., , , , , , , , and . ICORR, page 708-713. IEEE, (2017)Myoelectric pattern recognition of hand motions for stroke rehabilitation., , , , , and . Biomed. Signal Process. Control., (2020)CORDIC Framework for Quaternion-based Joint Angle Computation to Classify Arm Movements., , , , and . ISCAS, page 1-5. IEEE, (2018)Anforderungsanalyse für die nutzergerechte Gestaltung eines Bedienkonzepts für robotergestützte Telerehabilitationssysteme in der motorischen Schlaganfallrehabilitation., , , , , , , , , and 2 other author(s). MuC (Workshopband), page 125-131. De Gruyter Oldenbourg, (2015)Machine Learning based Real Time Detection of Freezing of Gait of Parkinson Patients Running on a Body Worn Device., , , , , and . CHASE, page 181-182. IEEE, (2023)Rehab-Net: Deep Learning Framework for Arm Movement Classification Using Wearable Sensors for Stroke Rehabilitation., , , , , , and . IEEE Trans. Biomed. Eng., 66 (11): 3026-3037 (2019)Real-time arm movement recognition using FPGA., , , , , , and . ISCAS, page 766-769. IEEE, (2015)