Transcutaneous oxygen monitoring is a noninvasive method for measuring the partial pressure of diffusing through skin, which strongly correlates with changes in dissolved arteries. Luminescent sensing one techniques assessing transcutaneous oxygen. Intensity- and lifetime-based measurements are two well-known methods used this technique. The latter more immune to optical path reflections, making less vulnerable motion artifacts skin color changes. Although promising, acquisition...

Source localization especially direction-of-arrival (DOA) estimation using sensor arrays is of considerable interest in both classical array signal processing and radar applications. Most systems are designed under the line-of-sight (LOS) assumption with multipath echos treated as undesired clutter noise. Strong multipath, therefore, has a negative impact on resolution their ability accurately localizing target. Rather than treating detrimental effect, paper introduces time reversal (TR) to...

Superresolution algorithms in ultrasound imaging are attracting the interest of researchers recently due to ability these methods enable enhanced vascular imaging. In this study, two superresolution compared for postprocessing images microbubbles generated using passive acoustic mapping (PAM) with a potential application three-dimensional (3-D) brain The first method is based on fitting single bubble one at time 3-D Gaussian profile localize and image then formed uncertainty localization as...

In this paper, first, a new range-estimation technique using time reversal (TR) for ground-penetrating-radar (GPR) applications is presented. The estimator referred to as the TR/GPR range estimator. motivation paper comes from need of accurately estimating location underground objects such landmines or unexploded ordinance safe clearance. Second, Cramér-Rao lower bound (CRLB) performance derived and compared with CRLB conventional matched filter (MF). analysis shows that has potential...

The paper derives closed-form expressions of the deterministic Cramer-Rao bound (CRB) bounds for direction arrival (DOA) and Doppler frequency a moving target in multipath environment both conventional multiple-input multiple-output (MIMO) time reversal (TR) MIMO frameworks. Incorporating adaptive TR waveform processing feature radars improves CRBs ways not seen with MIMO. TR/MIMO framework provides CRB gains up to 15 dB 3-path environment.

Breast cancer is the second leading cause of death after lung among women. The value advanced imaging platforms such as magnetic resonance (MRI) for early breast detection remains unclear. paper applies a time reversal beamforming imager detecting and locating stage tumours from MRI data. In our simulations based on finite difference, domain (FDTD) electromagnetic model, proposed detector estimates locations with higher accuracy than some current state art signal processing estimation...

A time reversal (TR) based direction of arrival (DOA) estimation framework for multiple-input/multiple-output (MIMO) radars is presented. We develop minimum variance distortionless response (MVDR) and multiple signal classification (MUSIC) DOA estimators the TR/MIMO setup. The algorithms outperform their conventional counterparts in: (i) analytical Cramér Rao Bounds (CRB) comparisons, and; (ii) numerical Monte Carlo simulations a range to noise ratios that we tested.

In this paper a new distributed clustering algorithm based on sending beacons has been proposed. algorithm, mobile nodes compete with each other to become cluster-head the number of neighbors. A simulation study conducted in fully network investigate performance algorithm. The results show scalability advantage networks large average generated clusters and stability created clusters. comparison algorithms shows flexibility suitability

This study utilizes an optical method of transcutaneous oxygen sensing that has the potential to revolutionize at-home care. technique is based on quenching luminescence a platinum porphyrin film. Since quenches luminescence, its lifetime further measured assess partial pressure diffusing through skin. Unlike conventional monitors use electrochemical sensors, luminescence-based sensor allows dry electrodes do not require heating and reduce risk accidental skin irritations or burns. These...

Luminescent oxygen sensing is employed for measuring the partial pressure of diffusing through skin, named transcutaneous oxygen. Two well-known approaches are intensity- and lifetime-based measurements assessing The technique preferable as it offers lower susceptibility to optical path changes reflections compared intensity-based method. High-resolution lifetime capturing critical accurate from human body. This study proposes a miniaturized prototype based on multimodal analog front end,...

In this paper we propose a new broadcasting algorithm for "stability-based clustering algorithm". novel traffic isolation method has been used to reduce the control message exchanges. The is divided into internal (flow inside cluster) and external among clusters). For flooding traffic, cluster-heads gateways are responsible re-broadcasting but ones, border nodes may perform forwarding function as well. This simplifies gateway selection through local of by its cluster head. Therefore head...

In this paper, we study the Cramér-Rao bound (CRB) for time reversal (TR) based direction of arrival (DOA) estimators operating in a rich multipath environment. Our setup is on an array active antennas capable estimating range and DOA passive target. We derive analytical expression CRB TR/DOA estimator compare it with that conventional by expressing two CRBs terms parameters (multipath's attenuations delays). results are verified running Ground Penetrating Radar (GPR) simulations using...

In 2016, World Health Organization (WHO) estimated that diabetes is the seventh leading cause of death causing 1.6 million casualties globally. this paper, we propose a non-invasive solution through Convolutional Neural Network (CNN)-based Deep Learning classifier. We use scalograms generated out transmissive Photoplethysmography (PPG) signals collected from MIMIC-III database to diagnose diabetes. Different sets inputs were sent into slightly modified VGGNet model, which trained over data...

The paper derives closed form (nonmatrix) expression for the deterministic Cramér-Rao bound (CRB) direction-of-arrival associated with a target embedded in noisy, multipath channel using time reversal (TR) MIMO system. By incorporating TR built-in adaptive waveform processing feature to reshape probing signals, we prove that CRBs direction of arrival can be improved ways not foreseen conventional radars. A second contribution is analytical derivation Angular Resolution Limit (ARL) defined as...

This paper designs time reversal (TR) based angle-Doppler estimators for multiple-input-multiple-output (TRAD/MIMO) radars with the goal of using spatial diversity multipath propagation in urban scenarios to their advantage. Simulation results show that is successfully utilized by TRAD/MIMO achieve significantly higher accuracy target localization as compared conventional radar maximum likelihood estimator (MLE) and adaptive beamforming techniques.

Heart rate variability (HRV) from electrocardiograms (ECG) is a well-known diagnostic method for the assessment of autonomic nervous function heart. A more convenient approach to assess cardiac by using Photoplethysmography (PPG) waveforms where pulse (PRV) replaces HRV. However, unavailability robust detection algorithms PPG signals has prevented medical market providing clinical diagnosis PRV and measuring biological information wellness purposes, such as sleep stage, stress state,...

We propose a super-resolution image reconstruction method which uses focused frequency time reversal (FFTR) matrices to focus in for ultrawideband (UWB) ultrasound signals, as well MUltiple SIgnal Classification (MUSIC) algorithm spatially on the target location. Our combined method, we refer FFTR-MUSIC, is motivated by pressing need improve resolution of diagnostic systems. Compared with TR matched filter (TRMF) and incoherent TR-MUSIC approaches, our proposed has lower computational...

Transcutaneous oxygen sensing is a noninvasive method for continuous monitoring of partial pressure diffused through the skin that closely correlates with changes in arterial blood gases. A measuring transcutaneous oxygen, suitable wearable device, luminescence sensing. This study aims to determine optimum values system parameters power, accuracy, and precision development based on platinum-porphyrin film ADPD4101 analog front-end. For this purpose, we conducted several experiments using...

An M-ary time reversal (TR) maximum likelihood classifier for a single pair of transmitting and receiving transducer element was derived in underwater acoustic target detection applications. This paper considers more general TR setup consisting P-element array an N derives the conventional classifiers multielement case electromagnetic communication environment. We show that algorithm provides classification gain over 3 dB at low signal to noise ratios as compared classifiers.

In this paper, the effect of coupling time reversal (TR) to direction arrival (DOA) estimation is studied through theoretical Cramér-Rao bound (CRB) analysis and numerical simulations. The proposed TR/DOA estimator adds an additional stage retransmits time-reversed versions observations made during original forward probing stage. backscatters reversed signals obtained from second TR used for DOA based on Capon algorithm. Simulations results CRBs comparing performance with that conventional...

Transcutaneous oxygen monitoring is a noninvasive method of measuring the partial pressure permeating through skin (PtcO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> ). Its medical significance lies in correlating changes PtcO with alterations arterial levels. Luminescent lifetime-based sensing suitable for miniaturized systems like wearables, where consistent and reliable signal crucial accurate measurements. This study presents...

A new distributed clustering algorithm for wireless ad hoc networks has been proposed. The main motivation in the proposed is improvement of stability and scalability simulation study conducted a fully mobile network to investigate performance this algorithm. Also effect mobility connectivity on parameters evaluated. comparison with other algorithms shows algorithms.

The paper derives analytical Cramér-Rao bound expressions for the Doppler-Angle estimators used in multiple-input multiple-output (MIMO) communication systems. Our motivation is two folds. First, these are as a measure of optimal performance that an Angle-Doppler MIMO estimator can potentially achieve. Second, we illustrate potential improvement with time reversal (TR) coupled over its conventional counterpart. In our Monte Carlo simulations, proposed TR/MIMO system provide gains up to 5dB.