Browsing Systems Design Engineering by Subject "pattern recognition"
Now showing items 1-8 of 8
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Automated Measurement of Neuromuscular Jitter Based on EMG Signal Decomposition
(University of Waterloo, 2007-09-27)The quantitative analysis of decomposed electromyographic (EMG) signals reveals information for diagnosing and characterizing neuromuscular disorders. Neuromuscular jitter is an important measure that reflects the stability ... -
Automatic Identification of Algae using Low-cost Multispectral Fluorescence Digital Microscopy, Hierarchical Classification & Deep Learning
(University of Waterloo, 2019-12-05)Harmful algae blooms (HABs) can produce lethal toxins and are a rising global concern. In response to this threat, many organizations are monitoring algae populations to determine if a water body might be contaminated. ... -
Distance Measures for Probabilistic Patterns
(University of Waterloo, 2020-01-07)Numerical measures of pattern dissimilarity are at the heart of pattern recognition and classification. Applications of pattern recognition grow more sophisticated every year, and consequently we require distance measures ... -
Neuromuscular Clinical Decision Support using Motor Unit Potentials Characterized by 'Pattern Discovery'
(University of Waterloo, 2009-01-21)Objectives: Based on the analysis of electromyographic (EMG) data muscles are often characterized as normal or affected by a neuromuscular disease process. A clinical decision support system (CDSS) for the electrophysiological ... -
Spatial Information Enhances Myoelectric Control Performance with Only Two Channels
(Institute of Electrical and Electronics Engineers, 2018-09-10)Automatic gesture recognition (AGR) is investigated as an effortless human-machine interaction method, potentially applied in many industrial sectors. When using surface electromyogram (sEMG) for AGR, i.e. myoelectric ... -
Statistical Model-Based Corneal Reconstruction
(University of Waterloo, 2013-12-10)Precise measurements of corneal layer thickness are required to treat, evaluate risk of, and determine the progression of pathologies within the eye. The thickness measurements are typically acquired as 2d images, known ... -
Transparent Decision Support Using Statistical Evidence
(University of Waterloo, 2005)An automatically trained, statistically based, fuzzy inference system that functions as a classifier is produced. The hybrid system is designed specifically to be used as a decision support system. This hybrid system ... -
Wrist and Finger Gesture Recognition with Single-element A-mode Ultrasound signal: A Comparison with Single-channel Surface Electromyogram
(Institute of Electrical and Electronics Engineers, 2018-10-01)With the ability to detect volumetric changes of contracting muscles, ultrasound (US) was a potential technique in the field of human-machine interface (HMI). Compared to the US imaging (B-mode US), the signal from a static ...