Real-time application based CNN architecture for automatic USCT bone image segmentation

2022 ◽  
Vol 71 ◽  
pp. 103123
Author(s):  
Marwa Fradi ◽  
El-hadi Zahzah ◽  
Mohsen. Machhout
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.


2021 ◽  
Vol 714 (4) ◽  
pp. 042046
Author(s):  
Jiangping Nan ◽  
Yajuan Jia ◽  
Xuezhen Dai ◽  
Yinglu Liu ◽  
Xiaowen Ren ◽  
...  

Author(s):  
M. M. Astrahan ◽  
B. Housman ◽  
J. F. Jacobs ◽  
R. P. Mayer ◽  
W. H. Thomas

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5857
Author(s):  
Brandy J. Johnson ◽  
Anthony P. Malanoski ◽  
Jeffrey S. Erickson

This review describes an ongoing effort intended to develop wireless sensor networks for real-time monitoring of airborne targets across a broad area. The goal is to apply the spectrophotometric characteristics of porphyrins and metalloporphyrins in a colorimetric array for detection and discrimination of changes in the chemical composition of environmental air samples. The work includes hardware, software, and firmware design as well as development of algorithms for identification of event occurrence and discrimination of targets. Here, we describe the prototype devices and algorithms related to this effort as well as work directed at selection of indicator arrays for use with the system. Finally, we review the field trials completed with the prototype devices and discuss the outlook for further development.


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