Leen Jabban

Also published under:L. Jabban

Affiliation

Electronic and Electrical Engineering, University of Bath, Bath, UK

Topic

Electrical Stimulation,Peripheral Nerve,Sensory Feedback,Ulnar Nerve,Upper Limb Prostheses,Computational Model,Conduction Velocity,Convolutional Neural Network,Electrode,High-frequency Stimulation,In-vivo Experiments,Low-frequency Stimulation,Mechanoreceptors,Neural Responses,Peripheral Nervous System,Prosthesis Users,Stimulation Artifact,Transcutaneous Electrical Nerve Stimulation,Abandonment Rates,Acute Experiments,Afferent Responses,Amplifier Gain,Animal Models,Anterior Root,Artificial Neural Network,Assistive Technology,Axon Instruments,Beat Frequency,Bladder Innervation,Bladder Pressure,Bluetooth Low Energy,Central Pattern Generator,Chronic Implantation,Classification Accuracy,Classification Performance,Closed-loop Neuromodulation,Computational Platform,Cuff Electrodes,Culture Medium,Current Ratio,Current Stimulation,Darker Shades,Data Augmentation,Degrees Centigrade,Design Process,Dorsal Root Ganglion,Electrical Recordings,Electrode Configuration,Electrode Geometry,Electrode Impedance,

Biography

Leen Jabban (Graduate Student Member, IEEE) received the M.Eng. degree in integrated mechanical and electrical engineering from the University of Bath, U.K., in 2019, where she is currently pursuing the Ph.D. degree.
Her research interests include upper-limb prostheses, sensory feedback, neuromodulation, neural interfaces, and user-centred design.