N
Ning Sha
Researcher at University of Salford
Publications - 11
Citations - 341
Ning Sha is an academic researcher from University of Salford. The author has contributed to research in topics: Electrode & Electrode array. The author has an hindex of 6, co-authored 11 publications receiving 310 citations.
Papers
More filters
Journal ArticleDOI
Inertial sensor-based knee flexion/extension angle estimation
Glen Cooper,Ian Sheret,Louise McMillian,Konstantinos Siliverdis,Ning Sha,Diana Hodgins,Laurence Kenney,David Howard +7 more
TL;DR: A new method for estimating knee joint flexion/extension angles from segment acceleration and angular velocity data is described, which uses a combination of Kalman filters and biomechanical constraints based on anatomical knowledge and does not make use of the earth's magnetic field.
Journal ArticleDOI
The effect of the impedance of a thin hydrogel electrode on sensation during functional electrical stimulation
TL;DR: The effects on sensation of a thin, high impedance electrode designed to reduce the non-uniformity of current distribution are described.
Journal ArticleDOI
A Finite Element Model to Identify Electrode Influence on Current Distribution in the Skin
TL;DR: A finite element (FE) model is described to predict skin current density distribution in the region of the electrode during stimulation and its application to the identification of electrode properties that may act to reduce sensation.
Journal ArticleDOI
A review of the design and clinical evaluation of the ShefStim array-based functional electrical stimulation system
Laurence Kenney,Ben Heller,Anthony T. Barker,Mark L. Reeves,Jamie Healey,Tim Good,Glen Cooper,Glen Cooper,Ning Sha,Sarah Prenton,Sarah Prenton,Anmin Liu,David Howard +12 more
TL;DR: The results suggest that the ShefStim system with automated setup produces results which are comparable with clinician setup of conventional systems, and the final study demonstrated that patients can use the system without clinical supervision.
Journal ArticleDOI
The Design, Development and Evaluation of an Array-Based FES System with Automated Setup for the Correction of Drop Foot
Laurence Kenney,Ben Heller,Anthony T. Barker,Mark L. Reeves,T. Jamie Healey,Tim Good,Glen Cooper,Ning Sha,Sarah Prenton,David Howard +9 more
TL;DR: This paper describes a series of research and clinical studies which have led to the first demonstration of unsupervised automated setup of an electrode-array based drop foot stimulator.