Low-cost high temporal resolution diffuse correlation spectroscopy (Conference Presentation)

2019 ◽  
Author(s):  
Jason Yang ◽  
Alexander Ruesch ◽  
Matthew A. Smith ◽  
Jana M. Kainerstorfer
Keyword(s):  
Temporal Resolution ◽  
Low Cost ◽  
Correlation Spectroscopy ◽  
High Temporal Resolution ◽  
Diffuse Correlation Spectroscopy

scholarly journals A Low-Cost, Open Source Monitoring System for Collecting High Temporal Resolution Water Use Data on Magnetically Driven Residential Water Meters

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3655 ◽  
Author(s):  
Camilo J. Bastidas Pacheco ◽  
Jeffery S. Horsburgh ◽  
Robb J. Tracy
Keyword(s):  
Open Source ◽  
Monitoring System ◽  
Water Use ◽  
Temporal Resolution ◽  
Low Cost ◽  
High Temporal Resolution ◽  
Time Interval ◽  
Residential Water Use ◽  
Water Meters ◽  
Residential Water

We present a low-cost (≈$150) monitoring system for collecting high temporal resolution residential water use data without disrupting the operation of commonly available water meters. This system was designed for installation on top of analog, magnetically driven, positive displacement, residential water meters and can collect data at a variable time resolution interval. The system couples an Arduino Pro microcontroller board, a datalogging shield customized for this specific application, and a magnetometer sensor. The system was developed and calibrated at the Utah Water Research Laboratory and was deployed for testing on five single family residences in Logan and Providence, Utah, for a period of over 1 month. Battery life for the device was estimated to be over 5 weeks with continuous data collection at a 4 s time interval. Data collected using this system, under ideal installation conditions, was within 2% of the volume recorded by the register of the meter on which they were installed. Results from field deployments are presented to demonstrate the accuracy, functionality, and applicability of the system. Results indicate that the device is capable of collecting data at a temporal resolution sufficient for identifying individual water use events and analyzing water use at coarser temporal resolutions. This system is of special interest for water end use studies, future projections of residential water use, water infrastructure design, and for advancing our understanding of water use timing and behavior. The system’s hardware design and software are open source, are available for potential reuse, and can be customized for specific research needs.

scholarly journals Optical characterization of 3D printed PLA and ABS filaments for diffuse optics applications

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0253181
Author(s):  
Caterina Amendola ◽  
Michele Lacerenza ◽  
Ileana Pirovano ◽  
Davide Contini ◽  
Lorenzo Spinelli ◽  
...  
Keyword(s):  
Near Infrared ◽  
Low Cost ◽  
Acrylonitrile Butadiene Styrene ◽  
Correlation Spectroscopy ◽  
Fused Deposition Modelling ◽  
Diffuse Optics ◽  
Diffuse Correlation Spectroscopy ◽  
Fused Deposition ◽  
3D Printed

The interest for Fused Deposition Modelling (FDM) in the field of Diffuse Optics (DO) is rapidly increasing. The most widespread FDM materials are polylactic acid (PLA) and acrylonitrile butadiene styrene (ABS), thanks to their low cost and easiness-to-print. This is why, in this study, 3D printed samples of PLA and ABS materials were optically characterized in the range from the UV up to the IR wavelengths, in order to test their possible employment for probe construction in DO applications. To this purpose, measurements with Near Infrared Spectroscopy and Diffuse Correlation Spectroscopy techniques were considered. The results obtained show how the material employed for probe construction can negatively affect the quality of DO measurements.

scholarly journals Dynamic response of cerebral blood flow to insulin-induced hypoglycemia

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Ruth McManus ◽  
Seva Ioussoufovitch ◽  
Elizabeth Froats ◽  
Keith St Lawrence ◽  
Stan Van Uum ◽  
...  
Keyword(s):  
Blood Flow ◽  
Cerebral Blood Flow ◽  
Plasma Glucose ◽  
Healthy Subjects ◽  
Insulin Injection ◽  
Correlation Spectroscopy ◽  
High Temporal Resolution ◽  
Hypoglycemia Unawareness ◽  
Diffuse Correlation Spectroscopy

AbstractThe dynamics of cerebral blood flow (CBF) at the onset of hypoglycemia may play a key role in hypoglycemia unawareness; however, there is currently a paucity of techniques that can monitor adult CBF with high temporal resolution. Herein, we investigated the use of diffuse correlation spectroscopy (DCS) to monitor the dynamics of CBF during insulin-induced hypoglycemia in adults. Plasma glucose concentrations, cortisol levels, and changes in CBF were measured before and during hypoglycemia in 8 healthy subjects. Cerebral blood flow increased by 42% following insulin injection with a delay of 17 ± 10 min, while the onset of hypoglycemia symptoms was delayed by 24 ± 11 min. The findings suggest that the onset of CBF increments precedes the appearance of hypoglycemia symptoms in nondiabetic subjects with normal awareness to hypoglycemia, and DCS could be a valuable tool for investigating the role of CBF in hypoglycemia unawareness.

scholarly journals Extended Joint Sparsity Reconstruction for Spatial and Temporal ERT Imaging

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 4014 ◽  
Author(s):  
Bo Chen ◽  
Juan Abascal ◽  
Manuchehr Soleimani
Keyword(s):  
Temporal Resolution ◽  
High Speed ◽  
Low Cost ◽  
Control Process ◽  
Industrial Applications ◽  
High Temporal Resolution ◽  
Conductivity Distribution ◽  
Dynamic Movement ◽  
Wide Range ◽  
The Time Domain

Electrical resistance tomography (ERT) is an imaging technique to recover the conductivity distribution with boundary measurements via attached electrodes. There are a wide range of applications using ERT for image reconstruction or parameter calculation due to high speed data collection, low cost, and the advantages of being non-invasive and portable. Although ERT is considered a high temporal resolution method, a temporally regularized method can greatly enhance such a temporal resolution compared to frame-by-frame reconstruction. In some of the cases, especially in the industrial applications, dynamic movement of an object is critical. In practice, it is desirable for monitoring and controlling the dynamic process. ERT can determine the spatial conductivity distribution based on previous work, and ERT potentially shows good performance in exploiting temporal information as well. Many ERT algorithms reconstruct images frame by frame, which is not optimal and would assume that the target is static during collection of each data frame, which is inconsistent with the real case. Although spatiotemporal-based algorithms can account for the temporal effect of dynamic movement and can generate better results, there is not that much work aimed at analyzing the performance in the time domain. In this paper, we discuss the performance of a novel spatiotemporal total variation (STTV) algorithm in both the spatial and temporal domain, and Temporal One-Step Tikhonov-based algorithms were also employed for comparison. The experimental results show that the STTV has a faster response time for temporal variation of the moving object. This robust time response can contribute to a much better control process which is the main aim of the new generation of process tomography systems.

Multidetector-row Computed Tomography in the Assessment of Coronary Artery Disease – New Techniques and Insights

2010 ◽  
Vol 6 (2) ◽  
pp. 43 ◽  
Author(s):  
Andreas H Mahnken ◽  
Keyword(s):  
Computed Tomography ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Data Acquisition ◽  
Temporal Resolution ◽  
High Temporal Resolution ◽  
Multidetector Row ◽  
Ct Scanners ◽  
Artery Disease ◽  
Cardiac Mdct

Over the last decade, cardiac computed tomography (CT) technology has experienced revolutionary changes and gained broad clinical acceptance in the work-up of patients suffering from coronary artery disease (CAD). Since cardiac multidetector-row CT (MDCT) was introduced in 1998, acquisition time, number of detector rows and spatial and temporal resolution have improved tremendously. Current developments in cardiac CT are focusing on low-dose cardiac scanning at ultra-high temporal resolution. Technically, there are two major approaches to achieving these goals: rapid data acquisition using dual-source CT scanners with high temporal resolution or volumetric data acquisition with 256/320-slice CT scanners. While each approach has specific advantages and disadvantages, both technologies foster the extension of cardiac MDCT beyond morphological imaging towards the functional assessment of CAD. This article examines current trends in the development of cardiac MDCT.

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