Sašo Jezernik

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The aim of this article is to introduce the robotic orthosis Lokomat, developed to automate treadmill training rehabilitation of locomotion for spinal cord injured and stroke patients, to the Functional Electrical Stimulation (FES) and Neuromodulation research communities, and to report on our newly conducted research. We first illustrate the primary use of(More)
STUDY DESIGN Clinical study on six spinal cord-injured subjects. The performance of two automatic gait-pattern adaptation algorithms for automated treadmill training rehabilitation of locomotion (called DJATA1 and DJATA2) was tested and compared in this study. OBJECTIVES To test the performance of the two algorithms and to evaluate the corresponding(More)
Individuals with spinal cord injury and other persons with neuropathic bladders develop bladder hyper-reflexia. We are developing an implantable neuroprosthesis to restore bladder function in these individuals using electrical recordings from, and stimulation of, nerves innervating the lower urinary tract. Six experiments were conducted on cats and(More)
Electroneurographic recordings suffer from low signal to noise (S/N) ratios. The S/N ratio can be improved by different signal processing methods including optimal filtering. A method to design two types of optimal filters (Wiener and Matched filters) was developed for use with neurographic signals, and the calculated filters were applied to nerve cuff(More)
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