Experimental results and analysis of sparse microwave imaging from spaceborne radar raw data

2012 ◽  
Vol 55 (8) ◽  
pp. 1801-1815 ◽  
Author(s):  
ChengLong Jiang ◽  
BingChen Zhang ◽  
Zhe Zhang ◽  
Wen Hong ◽  
YiRong Wu
Keyword(s):  
Microwave Imaging ◽  
Experimental Results ◽  
Raw Data ◽  
Spaceborne Radar ◽  
Sparse Microwave Imaging

scholarly journals A Tomograph Prototype for Quantitative Microwave Imaging: Preliminary Experimental Results

2018 ◽  
Vol 4 (12) ◽  
pp. 139 ◽  
Author(s):  
Alessandro Fedeli ◽  
Manuela Maffongelli ◽  
Ricardo Monleone ◽  
Claudio Pagnamenta ◽  
Matteo Pastorino ◽  
...  
Keyword(s):  
Ad Hoc ◽  
Microwave Imaging ◽  
Experimental Results ◽  
Network Analyzer ◽  
Reconstruction Algorithms ◽  
Quantitative Reconstruction ◽  
Qualitative And Quantitative ◽  
Switching Matrix ◽  
3D Printed ◽  
Transmission Measurements

A new prototype of a tomographic system for microwave imaging is presented in this paper. The target being tested is surrounded by an ad-hoc 3D-printed structure, which supports sixteen custom antenna elements. The transmission measurements between each pair of antennas are acquired through a vector network analyzer connected to a modular switching matrix. The collected data are inverted by a hybrid nonlinear procedure combining qualitative and quantitative reconstruction algorithms. Preliminary experimental results, showing the capabilities of the developed system, are reported.

Higher Order Sparse Microwave Imaging of PEC Scatterers

2016 ◽  
Vol 64 (3) ◽  
pp. 988-997 ◽  
Author(s):  
Marija Nikolic Stevanovic ◽  
Lorenzo Crocco ◽  
Antonije R. Djordjevic ◽  
Arye Nehorai
Keyword(s):  
Higher Order ◽  
Microwave Imaging ◽  
Sparse Microwave Imaging

scholarly journals The Rehapiano—Detecting, Measuring, and Analyzing Action Tremor Using Strain Gauges

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 663
Author(s):  
Norbert Ferenčík ◽  
Miroslav Jaščur ◽  
Marek Bundzel ◽  
Filippo Cavallo
Keyword(s):  
Upper Limb ◽  
Quantitative Assessment ◽  
Experimental Results ◽  
Strain Gauges ◽  
Digital Converter ◽  
Action Tremor ◽  
Raw Data ◽  
Analog To Digital ◽  
Usb Interface ◽  
Measurement Protocol

We have developed a device, the Rehapiano, for the fast and quantitative assessment of action tremor. It uses strain gauges to measure force exerted by individual fingers. This article verifies the device’s capability to measure and monitor the development of upper limb tremor. The Rehapiano uses a precision, 24-bit, analog-to-digital converter and an Arduino microcomputer to transfer raw data via a USB interface to a computer for processing, database storage, and evaluation. First, our experiments validated the device by measuring simulated tremors with known frequencies. Second, we created a measurement protocol, which we used to measure and compare healthy patients and patients with Parkinson’s disease. Finally, we evaluated the repeatability of a quantitative assessment. We verified our hypothesis that the Rehapiano is able to detect force changes, and our experimental results confirmed that our system is capable of measuring action tremor. The Rehapiano is also sensitive enough to enable the quantification of Parkinsonian tremors.

System design and first airborne experiment of sparse microwave imaging radar: initial results

2015 ◽  
Vol 58 (6) ◽  
pp. 1-10 ◽  
Author(s):  
BingChen Zhang ◽  
Zhe Zhang ◽  
ChengLong Jiang ◽  
Yao Zhao ◽  
Wen Hong ◽  
...  
Keyword(s):  
System Design ◽  
Microwave Imaging ◽  
Imaging Radar ◽  
Airborne Experiment ◽  
Initial Results ◽  
Sparse Microwave Imaging

Using Inertial Sensor System to Measure the Workspace of the Surgeon's Upper Limbs during Operations

2015 ◽  
Vol 772 ◽  
pp. 329-333
Author(s):  
Ali Soroush ◽  
Farzam Farahmand
Keyword(s):  
Upper Limb ◽  
Inertial Sensors ◽  
Inertial Sensor ◽  
Kinematic Model ◽  
Experimental Results ◽  
Upper Body ◽  
Upper Limbs ◽  
Surgical Robots ◽  
Raw Data ◽  
Wearable Inertial Sensors

The aim of this study was to determine the workspace of surgeon's body for designing more efficient surgical robots in the operation rooms. Five wearable inertial sensors were placed near the wrist and elbow joints and also on the thorax of surgeons to track the orientation of upper limb. Assuming that the lengths of five segments of an upper limb were known, measurements of the inertial sensors were used to determine the position of the wrist and elbow joints via an established kinematic model. subsequently, to assess the workspace of surgeon upper body, raw data were collected in the arthroscopy and laparoscopy operations. Experimental results demonstrated that the workspaces of surgeon's joints are limited and predefined. The results can be used for designing surgical robots and surgeon body supports.

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