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Leveraging IoT Wearable Technology Towards Early Diagnosis of Neurological Diseases.

, , , , , and . IEEE J. Sel. Areas Commun., 39 (2): 582-592 (2021)

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The discontinuous nature of motor execution., , and . Biol. Cybern., 82 (1): 23-33 (2000)A Three-Component Model of the Control Error in Manual Tracking of Continuous Random Signals., , , and . Hum. Factors, 55 (5): 985-1000 (2013)Onset Detection in Surface Electromyographic Signals: A Systematic Comparison of Methods., , , and . EURASIP J. Adv. Signal Process., 2001 (2): 67-81 (2001)3D position estimation using a single coil and two magnetic field sensors., , and . EMBC, page 6712-6715. IEEE, (2015)A Wearable Prototype for Neurological Symptoms Recognition., , , , , and . ICC, page 1-7. IEEE, (2020)Wearable Magnetic Field Based 3D-Orientation and -Position Acquisition., , , and . GLOBECOM, page 1-6. IEEE, (2020)Change-Point Detection in Kinetic Signals., and . ISMDA, volume 1933 of Lecture Notes in Computer Science, page 43-48. Springer, (2000)Leveraging IoT Wearable Technology Towards Early Diagnosis of Neurological Diseases., , , , , and . IEEE J. Sel. Areas Commun., 39 (2): 582-592 (2021)Comparative Study of Event-Synchronous Interference Cancelling Methods., , and . EMBC, page 3381-3384. IEEE, (2006)Fusion of inertial and magnetic sensors for 3D position and orientation estimation., , , and . EMBC, page 3362-3365. IEEE, (2016)