Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 31 for “"biological signals"”.
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Information Processing for Biological Signals: Application to Laser Doppler Vibrometry
Signals associated with biological activity in the human body can be of great value in clinical and security applications. Since direct measurements of critical biological activity are often difficult to acquire noninvasively, many biological signals are measured from the surface of the skin. This …
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Algorithm-circuit co-design for detecting symptomatic patterns in biological signals
… algorithm which can detect generic patterns in biological audio signals. The application of algorithm-circuit co-design methodology helps in practically implementing this system into a low power design. Using approximation of coefficients and multiplier-less implementation, the Mel "cepstrum" …
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Diet Assessment in Tropical African Populations - the implications of detecting biological signals in current diets to the study of past diets
… many unknowns on how isotopic and microwear signals change in response to dietary variation, because few controlled studies have been carried out in modern populations. To investigate this issue, this study targeted living humans from African ethnic groups (El Molo, Turkana, Luhya, and Luo, …
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Spatially organized fluorescent reporters for recording complex biological dynamics in cell population
Biological signals, such as the dynamic concentrations of ions, levels of signaling molecules, and activities of protein kinases, interact in complex ways within cells, and can exhibit great cell-to-cell heterogeneity as a function of cell history and state. There is increasing desire to use …
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Active filters for biological signal analysis
A way to handle biological signals by dividing the signals into bands in the frequency domain is the subject of this paper. Several filters were constructed and the results of a particular filter were analyzed. The problem of obtaining a constant power spectrum when a signal is divided into a …
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MALDI-TOF MS Data Processing Using Wavelets, Splines and Clustering Techniques.
… techniques to evaluate the complicated biological signals. A MatLab implementation shows the processing steps consecutively including step-interval unification, adaptive wavelet denoising, baseline correction, normalization, and peak detection and alignment for biomarker discovery.</p>
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Characterization, representation, and prediction of immune cell states using single-cell sequencing and machine learning
… batch effects that can obscure underlying biological signals. Navigating this complexity necessitates the development of sophisticated computational frameworks capable of modeling of single-cell data. This dissertation presents comprehensive bioinformatics frameworks for the …
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The Impact of the Environment for Shaping Food Intake. Does it Contribute to Obesity?
… a propensity for us to let external cues and signals determine the amount of food eaten rather than the internal biological signals of satiety. These external determinants can range from the lighting in the restaurant to the size of the bowl to the number of people with which you dine and most …
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EKG ir EEG biopotencialų registravimas ir perdavimas bevieliu ryšiu /
… is a desired tool for laboratory research on biological signals with animals. In this work, a device is being developed for measuring ECG and EEG signals. The device needs to be sufficiently high-speed and sensitive, but also lightweight and energy-efficient to meet the required conditions. …
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Responsive IoT : using biosignals to connect humans and smart devices
… and IoT devices. In particular, I focus on using biological signals as the interface to directly connect with the smart surroundings. The work is partitioned in two parts. First, I present a wearable sensing system to estimate the thermal comfort level of the user by monitoring skin temperature, …
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Force-induced calcium concentration change and focal adhesion translocation : effects of force amplitude and frequency
… rapidly sense and transduce external forces into biological signals through a process known as mechanotransduction. Numerous biological processes are involved in mechanotransduction, including calcium signaling and activation of focal adhesion sites, but little is known about how cells initially …
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Application of Genetically-Encoded Photoactivatable Crosslinkers to Map Ligand-Binding Sites on G Protein-Coupled Receptors
… that bind extracellular molecules to transduce biological signals. Although GPCRs represent the largest class of targets for therapeutic agents, ligand-binding sites have been precisely defined for only a small percentage of the receptors in the human genome. A general cellbased …
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Investigating the mechanotransduction by two-photon fluorescence microscopy measurement of intracellular free energy of binding
… complexes, is transmitted and translated into biological signals. This process is known as mechanotransduction. Extensive studies have been carried out on the signaling pathways involved in mechanotransduction. However, the mechanism(s) of mechanotransduction has yet to be fully understood. …
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Computational comparative genomics : genes, regulation, evolution
Understanding the biological signals encoded in a genome is a key challenge of computational biology. These signals are encoded in the four-nucleotide alphabet of DNA and are responsible for all molecular processes in the cell. In particular, the genome contains the blueprint of all protein-coding …
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Novel Techniques for Single-cell RNA Sequencing Data Imputation and Clustering
… only deepened our understanding of fundamental biological processes but also unlocked new avenues for disease diagnostics and therapeutic interventions.The applications of single-cell technologies extend beyond basic research, with significant implications for precision medicine, drug discovery, …
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A statistical framework for the analysis of neural control of movement with aging and other clinical applications
… is to understand the effects of aging on biological signals for motor control and to develop a methodology to classify aging and stroke populations. The methodological approach investigated the influence on correlated activity (coherence) between electroencephalogram (EEG) and …
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Soft Electronics and Sensors for Wearable Healthcare Applications
… by collecting and analyzing massive amounts of biological signals from internal organs, muscles, and blood vessels. Conventional rigid electronics may lead to motion artifacts and errors in collected data due to the mismatches in mechanical properties between human skin. Instead, soft wearable …
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RF SENSORS FOR MEDICAL AND CYBER-PHYSICAL INTELLIGENCE
… and non-invasive sensing of physiological signals including respiration, muscle activities, heartbeat dynamics, and other biological signals. I seek to establish a touchless RF sensor that can be implemented as wearables on users, or integrated into the furniture to become invisible to the …
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Inference for High-Dimensional Doubly Multivariate Data under General Conditions
… not. Over 9,000 relative fluorescent unit (RFU) signals, measures of the presence and abundance of proteins, are collected in a microarray or protoarray from each subject. Typically these kind of data show marked skewness (departure from normality) which invalidates standard multivariate …
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