IEEE Journal of Translational Engineering in Health and Medicine

Articles
LoCoMo-Net: A Low-Complex Deep Learning Framework for sEMG Based Hand Movement Recognition for Prosthetic Control
Background: The enhancement in the performance of the myoelectric pattern recognition techniques based on deep learning algorithm possess computationally expensive and exhibit extensive memory behavior. Therefore, in this paper we report a deep learning framework named ‘Low-Complex Movement recognition-Net’ (LoCoMo-Net)... Read more
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Determining User Intent of Partly Dynamic Shoulder Tasks in Individuals with Chronic Stroke using Pattern Recognition
Stroke remains the leading cause of long-term disability in the US. Although therapy can achieve limited improvement of paretic arm use and performance, weakness and abnormal muscle synergies—which cause unintentional elbow, wrist, and finger flexion during shoulder abduction—contribute significantly to... Read more
Articles, Published Articles
Feasibility of Early Meal Detection Based on Abdominal Sound
     Early Access Note: Early Access articles are new content made available in advance of the final electronic or print versions and result from IEEE’s Preprint or Rapid Post processes. Preprint articles are peer-reviewed but not fully edited. Rapid Post articles are... Read more
Articles, Published Articles
A Comparison of Pattern Recognition Control and Direct Control of a Multiple Degree-of-Freedom Transradial Prosthesis
With existing conventional prosthesis control (direct control), individuals with a transradial amputation use two opposing muscle groups to control each prosthesis motor. As component complexity increases, subjects must switch the prosthesis into different modes to control each component in sequence.... Read more
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Depth Sensing for Improved Control of Lower Limb Prostheses
  We propose the addition of environmental sensing, in the form of depth sensing, to the control of powered, lower-limb prostheses. Currently, the prediction of which locomotion mode-based controller to use has been performed using EMG from the residual limb and... Read more
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The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges
Farina, D. ; Jiang, N. ; Rehbaum, H. ; Holobar, A. ; Graimann, B. ; Dietl, H. ; Aszmann, O.C. Abstract Despite not recording directly from neural cells, the surface electromyogram (EMG) signal contains information on the neural drive to muscles, i.e,... Read more