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Image Search Results
Journal: Frontiers in Bioengineering and Biotechnology
Article Title: Rehabilitation Effects of Fatigue-Controlled Treadmill Training After Stroke: A Rat Model Study
doi: 10.3389/fbioe.2020.590013
Figure Lengend Snippet: Fatigue-controlled experimental platform. Rat was running on the treadmill; its EMG signal was acquired and amplified by a neural data acquisition system (Plexon Inc., USA) and transmitted to the computer. EMG signal was real-time visualized on the computer screen. The Matlab GUI-based fatigue-controlled software calculated MPF drop rate during treadmill training, and the on/off state of the treadmill was controlled by the MPF drop rate.
Article Snippet: In this study, we integrated the treadmill with an EMG analysis system based on a customized MATLAB
Techniques: Amplification, Software
Journal: Frontiers in bioscience (Landmark edition)
Article Title: Enabling techniques for in vitro studies on mammalian spinal locomotor mechanisms
doi: 10.2741/4043
Figure Lengend Snippet: Commonly measured variables to describe locomotion analyzed with a custom Matlab-based GUI. SpinalMOD is designed to analyze ventral root, dorsal root, or muscle bursting for up to four channels. (a) Screenshot of the GUI with boxed regions enlarged in panel (b). Input variables are shown to the left and readily changed by the user by clicking in the box. The raw (green) and filtered (black) waveforms are graphed in the middle. Following burst detection, burst onset (red) and offset (blue) are denoted by vertical stems. "Run Updated Variables" allows the user to adjust the input variables and rerun the detection algorithm to correct misplaced burst markers. The stems can be also manually changed with “Change On/Off Stem Marks.” Once burst detection is acceptable, burst analysis is run by selecting “Run Burst Analysis.” The user then identifies the first burst to analyze and provides the number of bursts to be analyzed. Dashed black stems mark the beginning and end of the analyzed period. Once analyzed, the values calculated are shown in tabular and graphical form the Burst Analysis section to the right of the GUI. A phase plot figure as well as three of six other graphs, (average waveform, period, peak height, duty cycle, burst duration, and power spectrum), can be chosen for display. Finally, tabulated value and figures can be exported to Excel for subsequent use. (c). Blow-up of example raw and filtered waveform data shows commonly measured variables used to describe locomotion. For more information and to download SpinalMOD freely go to http://userwww.service.emory.edu/~shochm2/main_menu.html.
Article Snippet: Provision of a MATLAB-based code to analyze important measures of locomotion To aid in quantifying and comparing rhythmic locomotor patterns, we developed a
Techniques: