Non-invasive mechanical properties estimation of embedded objects using tactile imaging sensor

2013 ◽  
Author(s):  
Firdous Saleheen ◽  
Vira Oleksyuk ◽  
Amrita Sahu ◽  
Chang-Hee Won
Keyword(s):  
Mechanical Properties ◽  
Non Invasive ◽  
Tactile Imaging ◽  
Imaging Sensor

scholarly journals Emerging technologies for the non-invasive characterization of physical-mechanical properties of tablets

2017 ◽  
Vol 532 (1) ◽  
pp. 299-312 ◽  
Author(s):  
Vivek S. Dave ◽  
Hend I. Shahin ◽  
Susanne R. Youngren-Ortiz ◽  
Mahavir B. Chougule ◽  
Rahul V. Haware
Keyword(s):  
Mechanical Properties ◽  
Emerging Technologies ◽  
Non Invasive

scholarly journals EEG Waveform Analysis of P300 ERP with Applications to Brain Computer Interfaces

2018 ◽  
Vol 8 (11) ◽  
pp. 199 ◽  
Author(s):  
Rodrigo Ramele ◽  
Ana Villar ◽  
Juan Santos
Keyword(s):  
Brain Computer Interface ◽  
Waveform Analysis ◽  
Computer Interface ◽  
Clinical Tool ◽  
Non Invasive ◽  
Computer Interfaces ◽  
Brain Signals ◽  
Public Dataset ◽  
Imaging Sensor ◽  
Clinical Eeg

The Electroencephalography (EEG) is not just a mere clinical tool anymore. It has become the de-facto mobile, portable, non-invasive brain imaging sensor to harness brain information in real time. It is now being used to translate or decode brain signals, to diagnose diseases or to implement Brain Computer Interface (BCI) devices. The automatic decoding is mainly implemented by using quantitative algorithms to detect the cloaked information buried in the signal. However, clinical EEG is based intensively on waveforms and the structure of signal plots. Hence, the purpose of this work is to establish a bridge to fill this gap by reviewing and describing the procedures that have been used to detect patterns in the electroencephalographic waveforms, benchmarking them on a controlled pseudo-real dataset of a P300-Based BCI Speller and verifying their performance on a public dataset of a BCI Competition.

An anti-infective hydrogel adhesive with non-swelling and robust mechanical properties for sutureless wound closure

2020 ◽  
Vol 8 (26) ◽  
pp. 5682-5693
Author(s):  
Xinchen Du ◽  
Yujie Hou ◽  
Le Wu ◽  
Shilin Li ◽  
Ao Yu ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Wound Closure ◽  
Adhesion Properties ◽  
Non Invasive

An anti-infective TA/hydrogel with non-swelling and adhesion properties could close wounds in a non-invasive way.

Non-Invasive Measurement of In-Vivo Elasticity of Skeletal Muscles with MR-Elastography

2007 ◽  
Vol 342-343 ◽  
pp. 901-904
Author(s):  
Yu Bong Kang ◽  
T. Oida ◽  
Duk Young Jung ◽  
A. Fukuma ◽  
T. Azuma ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Shear Modulus ◽  
Skeletal Muscles ◽  
Soft Tissues ◽  
Viscosity Coefficient ◽  
Non Invasive ◽  
Novel Method ◽  
Human Calf ◽  
Invasive Measurement

In order to evaluate the mechanical properties of the human skeletal muscles, the elasticity and viscosity of the human calf muscles were measured with Magnetic Resonance Elastography (MRE). MRE is a novel method to measure the mechanical properties of living soft tissues in vivo quantitatively by observing the strain waves propagated in the object. In this study, the shear modulus and viscosity coefficient were measured with MRE. The shear modulus was 3.7 kPa in relaxed state, and increased with increasing the muscle forces. Interestingly, the viscosity was changed with the vibration frequency applied to the muscles, that was 4.5 Pa·s at 100Hz vibration and 2.4 Pa·s at 200Hz vibration. This shows clearly the visco-elastic property.

Non-invasive assessment of aortic mechanical properties

1986 ◽  
Vol 14 (6) ◽  
pp. 513-524 ◽  
Author(s):  
Satish Kalath ◽  
Petros Tsipouras ◽  
Frederick H. Silver
Keyword(s):  
Mechanical Properties ◽  
Non Invasive

Simulation of a Strategy for the Assessment of Damage in Human Bones by Using FEM and Signal Processing

2011 ◽  
Vol 488-489 ◽  
pp. 371-374
Author(s):  
Marco Miniaci ◽  
Alessandro Marzani ◽  
Erasmo Viola
Keyword(s):  
Mechanical Properties ◽  
Signal Processing ◽  
Guided Waves ◽  
Metabolic Diseases ◽  
Invasive Technique ◽  
Future Studies ◽  
Damage Level ◽  
Non Invasive ◽  
Human Bones ◽  
Non Destructive

The aim of this work is to propose a non-invasive technique aimed at assessing the evolution of damage in elongated bones that could be caused, for instance, by metabolic diseases. The technique exploits signals related to mechanical guided waves traveling along the bone to characterize its mechanical properties in a total non-destructive manner. Such properties can be used as an indicator of the damage level present in the bone. The preliminary results motivate future studies

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