scholarly journals Motorized Treadmill and Optical Recording System for Gait Analysis of Grasshoppers

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5953
Author(s):  
Leslie Barreto ◽  
Ahnsei Shon ◽  
Derrick Knox ◽  
Hojun Song ◽  
Hangue Park ◽  
...  

(1) Background: Insects, which serve as model systems for many disciplines with their unique advantages, have not been extensively studied in gait research because of the lack of appropriate tools and insect models to properly study the insect gaits. (2) Methods: In this study, we present a gait analysis of grasshoppers with a closed-loop custom-designed motorized insect treadmill with an optical recording system for quantitative gait analysis. We used the eastern lubber grasshopper, a flightless and large-bodied species, as our insect model. Gait kinematics were recorded and analyzed by making three grasshoppers walk on the treadmill with various speeds from 0.1 to 1.5 m/s. (3) Results: Stance duty factor was measured as 70–95% and decreased as walking speed increased. As the walking speed increased, the number of contact legs decreased, and diagonal arrangement of contact was observed at walking speed of 1.1 cm/s. (4) Conclusions: This pilot study of gait analysis of grasshoppers using the custom-designed motorized insect treadmill with the optical recording system demonstrates the feasibility of quantitative, repeatable, and real-time insect gait analysis.


2014 ◽  
Author(s):  
Ling Wang ◽  
Thoa Nguyen ◽  
Henrique Cabral ◽  
Barbara Gysbrechts ◽  
Francesco Battaglia ◽  
...  


2007 ◽  
Vol 12 (5) ◽  
pp. 451-457 ◽  
Author(s):  
Masafumi Kubota ◽  
Seiichiro Shimada ◽  
Shigeru Kobayashi ◽  
Shinichi Sasaki ◽  
Ippei Kitade ◽  
...  


2020 ◽  
Author(s):  
Weihao Sheng ◽  
Xueyang Zhao ◽  
Yang Yang

AbstractThe idea to combine in vivo functional imaging with optogenetic stimulation to achieve closed-loop, all-optical recording and manipulation of neurons and neural circuits is appealing yet challenging. Other than necessary hardwares, it requires an analysis software fast enough to extract neural activities from imaging data in real time. Here we present an open-source, integrative image processing toolbox ORACA (Online Real-time Activity extraction and offline Cross-session Analysis), which provides solutions for both fast online and accurate offline data analyses. We developed fast GPU-based algorithms that can finish raw image registration, automatic identification and activity extraction of neurons within seconds after image acquisition. Offline analysis pipeline features a new cross-session alignment algorithm that takes into account the angle differences across imaging sessions, useful for shared microscope or long imaging intervals. A modular, user-friendly software that can be used as a complete package or independent modules, ORACA can effectively facilitate the image analysis process, especially for all-optical closed-loop control and long-term repeated imaging.





2005 ◽  
Author(s):  
Harry Funk ◽  
Robert Goldman ◽  
Christopher Miller ◽  
John Meisner ◽  
Peggy Wu


Sensors ◽  
2019 ◽  
Vol 19 (23) ◽  
pp. 5209 ◽  
Author(s):  
Andrea Gonzalez-Rodriguez ◽  
Jose L. Ramon ◽  
Vicente Morell ◽  
Gabriel J. Garcia ◽  
Jorge Pomares ◽  
...  

The main goal of this study is to evaluate how to optimally select the best vibrotactile pattern to be used in a closed loop control of upper limb myoelectric prostheses as a feedback of the exerted force. To that end, we assessed both the selection of actuation patterns and the effects of the selection of frequency and amplitude parameters to discriminate between different feedback levels. A single vibrotactile actuator has been used to deliver the vibrations to subjects participating in the experiments. The results show no difference between pattern shapes in terms of feedback perception. Similarly, changes in amplitude level do not reflect significant improvement compared to changes in frequency. However, decreasing the number of feedback levels increases the accuracy of feedback perception and subject-specific variations are high for particular participants, showing that a fine-tuning of the parameters is necessary in a real-time application to upper limb prosthetics. In future works, the effects of training, location, and number of actuators will be assessed. This optimized selection will be tested in a real-time proportional myocontrol of a prosthetic hand.





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