Ultracompact twisted silica taper for 20  kHz to 94  MHz ultrasound sensing

2020 ◽  
Vol 45 (14) ◽  
pp. 3889
Author(s):  
Huibo Fan ◽  
Wenwen Ma ◽  
Liang Chen ◽  
Xiaoyi Bao
Keyword(s):  
Ultrasound Sensing

All fiber sensor array for ultrasound sensing

2016 ◽  
Author(s):  
Haniel Gabai ◽  
Idan Steinberg ◽  
Avishay Eyal
Keyword(s):  
Sensor Array ◽  
Fiber Sensor ◽  
Ultrasound Sensing

scholarly journals Towards Zero Re-Training for Long-Term Hand Gesture Recognition via Ultrasound Sensing

2019 ◽  
Vol 23 (4) ◽  
pp. 1639-1646 ◽  
Author(s):  
Xingchen Yang ◽  
Dalin Zhou ◽  
Yu Zhou ◽  
Youjia Huang ◽  
Honghai Liu
Keyword(s):  
Gesture Recognition ◽  
Hand Gesture Recognition ◽  
Hand Gesture ◽  
Ultrasound Sensing

Compact silica twisted microfiber for ultrasound sensing

2021 ◽  
Author(s):  
Huibo Fan ◽  
Liang Chen ◽  
Xiaoyi Bao
Keyword(s):  
Ultrasound Sensing

scholarly journals SVM-Enabled Intelligent Genetic Algorithmic Model for Realizing Efficient Universal Feature Selection in Breast Cyst Image Acquired via Ultrasound Sensing Systems

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 432 ◽  
Author(s):  
Chuan-Yu Chang ◽  
Kathiravan Srinivasan ◽  
Mao-Cheng Chen ◽  
Shao-Jer Chen
Keyword(s):  
Ultrasound Image ◽  
Cost Effective ◽  
The Body ◽  
Body Parts ◽  
Breast Cyst ◽  
Sensing Systems ◽  
Efficient Detection ◽  
Algorithmic Model ◽  
Ultrasound Sensing

In recent years, there are several cost-effective intelligent sensing systems such as ultrasound imaging systems for visualizing the internal body structures of the body. Further, such intelligent sensing systems such as ultrasound systems have been deployed by medical doctors around the globe for efficient detection of several diseases and disorders in the human body. Even though the ultrasound sensing system is a useful tool for obtaining the imagery of various body parts, there is always a possibility of inconsistencies in these images due to the variation in the settings of the system parameters. Therefore, in order to overcome such issues, this research devises an SVM-enabled intelligent genetic algorithmic model for choosing the universal features with four distinct settings of the parameters. Subsequently, the distinguishing characteristics of these features are assessed utilizing the Sorensen-Dice coefficient, t-test, and Pearson’s R measure. It is apparent from the results of the SVM-enabled intelligent genetic algorithmic model that this approach aids in the effectual selection of universal features for the breast cyst images. In addition, this approach also accomplishes superior accuracy in the classification of the ultrasound image for four distinct settings of the parameters.

scholarly journals Simultaneous Prediction of Wrist/Hand Motion via Wearable Ultrasound Sensing

2020 ◽  
Vol 28 (4) ◽  
pp. 970-977 ◽  
Author(s):  
Xingchen Yang ◽  
Jipeng Yan ◽  
Yinfeng Fang ◽  
Dalin Zhou ◽  
Honghai Liu
Keyword(s):  
Hand Motion ◽  
Simultaneous Prediction ◽  
Ultrasound Sensing

Suppression of reverberations at fiber tips for optical ultrasound sensing

2020 ◽  
Vol 45 (9) ◽  
pp. 2526
Author(s):  
Xiangdong Ma ◽  
Bingxue Liu ◽  
Yiqi Cai ◽  
Donglin Jia ◽  
Bo Fu ◽  
...  
Keyword(s):  
Ultrasound Sensing

Ultrasound sensing based on an in-fiber dual-cavity Fabry–Perot interferometer

2019 ◽  
Vol 44 (15) ◽  
pp. 3606 ◽  
Author(s):  
Huibo Fan ◽  
Liang Zhang ◽  
Song Gao ◽  
Liang Chen ◽  
Xiaoyi Bao
Keyword(s):  
Fabry Perot ◽  
Ultrasound Sensing

Fiber-optic ultrasound sensing for the evaluation of materials

1982 ◽  
Vol 21 (4) ◽  
pp. 572 ◽  
Author(s):  
P. Cielo ◽  
J. Lapierre
Keyword(s):  
Fiber Optic ◽  
Ultrasound Sensing
Sign in / Sign up

Export Citation Format

Share Document