scholarly journals Portable polarimetric fiber stress sensor system for visco-elastic and biomimetic material analysis

2015 ◽  
Vol 106 (19) ◽  
pp. 191105 ◽  
Author(s):  
Mark C. Harrison ◽  
Andrea M. Armani
Keyword(s):  
Sensor System ◽  
Fiber Stress ◽  
Stress Sensor ◽  
Biomimetic Material ◽  
Material Analysis

Distributed fiber optic stress sensor system based on P-OFDR

2010 ◽  
Author(s):  
Zhiyong Dai ◽  
Xiaoxia Zhang ◽  
Zengshou Peng ◽  
Jianfeng Li ◽  
Zhonghua Ou ◽  
...  
Keyword(s):  
Fiber Optic ◽  
Sensor System ◽  
Stress Sensor

A fiber optic Sagnac multi-stress sensor system

2011 ◽  
Author(s):  
HanChul Kang ◽  
JuneHo Lee ◽  
JongKil Lee ◽  
HyunJin Kim ◽  
Minho Song
Keyword(s):  
Fiber Optic ◽  
Sensor System ◽  
Stress Sensor

scholarly journals Intelligent Occlusion Stabilization Splint with Stress-Sensor System for Bruxism Diagnosis and Treatment

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 89
Author(s):  
Jinxia Gao ◽  
Longjun Liu ◽  
Peng Gao ◽  
Yihuan Zheng ◽  
Wenxuan Hou ◽  
...  
Keyword(s):  
Learning Algorithm ◽  
Sensor System ◽  
Diagnosis And Treatment ◽  
Prototype System ◽  
Signal Acquisition ◽  
Occlusal Force ◽  
Stress Sensor ◽  
Stabilization Splint ◽  
High Prevalence ◽  
Parameter Configuration

Bruxism is a masticatory muscle activity characterized by high prevalence, widespread complications, and serious consequences but without specific guidelines for its diagnosis and treatment. Although occlusal force-based biofeedback therapy is proven to be safe, effective, and with few side effects in improving bruxism, its mechanism and key technologies remain unclear. The purpose of this study was to research a real-time, quantitative, intelligent, and precise force-based biofeedback detection device based on artificial intelligence (AI) algorithms for the diagnosis and treatment of bruxism. Stress sensors were integrated and embedded into a resin-based occlusion stabilization splint by using a layering technique (sandwich method). The sensor system mainly consisted of a pressure signal acquisition module, a main control module, and a server terminal. A machine learning algorithm was leveraged for occlusal force data processing and parameter configuration. This study implemented a sensor prototype system from scratch to fully evaluate each component of the intelligent splint. Experiment results showed reasonable parameter metrics for the sensors system and demonstrated the feasibility of the proposed scheme for bruxism treatment. The intelligent occlusion stabilization splint with a stress sensor system is a promising approach to bruxism diagnosis and treatment.

Transition edge sensor system for material analysis using transmission electron microscope

2009 ◽  
Vol 469 (15-20) ◽  
pp. 881-885 ◽  
Author(s):  
K. Tanaka ◽  
A. Odawara ◽  
S. Bandou ◽  
A. Nagata ◽  
S. Nakayama ◽  
...  
Keyword(s):  
Electron Microscope ◽  
Transmission Electron Microscope ◽  
Transition Edge Sensor ◽  
Sensor System ◽  
Material Analysis ◽  
Transition Edge ◽  
Transmission Electron

Sagnac Distributed FMCW Birefringent Fiber Stress Sensor

1996 ◽  
Author(s):  
G. Zheng ◽  
M. Campbell ◽  
P.A. Wallace ◽  
A.S. Holmes-Smith
Keyword(s):  
Fiber Stress ◽  
Stress Sensor ◽  
Birefringent Fiber

Distributed FMCW reflectometric birefringent fiber stress sensor

1996 ◽  
Author(s):  
Gang Zheng ◽  
Michael Campbell ◽  
Peter A. Wallace ◽  
Sheila Smith
Keyword(s):  
Fiber Stress ◽  
Stress Sensor ◽  
Birefringent Fiber

A distributed frequency modulation continuous wave fiber stress sensor based on a birefringent sagnac ring configuration

1997 ◽  
Vol 4 (1) ◽  
pp. A114-A116 ◽  
Author(s):  
Michael Campbell ◽  
Gang Zheng ◽  
Peter A. Wallace ◽  
A. Sheila Holmes-Smith
Keyword(s):  
Frequency Modulation ◽  
Continuous Wave ◽  
Fiber Stress ◽  
Stress Sensor ◽  
Ring Configuration ◽  
Frequency Modulation Continuous Wave
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