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.
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Showing 1 to 10 of 10 for “"Biomedical Signal Processing"”.
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A Study of Machine Learning Approaches for Biomedical Signal Processing
… limitations of measurement instruments, data preprocessing is often required in biomedical research. Improper preprocessing will have negative impact on the downstream analytics tasks. This thesis studies two important preprocessing topics: missing value imputation and between-sample …
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Blind source separation based on joint diagonalization of matrices with applications in biomedical signal processing
… out of a mixture of a multitude of superimposed signals. In the recent research literature there are two related approaches to the BSS problem: The first is known as Independent Component Analysis (ICA), where the goal is to transform the data such that the components become as independent as …
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Low-voltage embedded biomedical processor design
… processors on such sensors serve to analyze signals in real-time and extract key features for transmission or storage. To support diverse and evolving applications, the processor should be flexible, and to extend sensor operating lifetime, the processor should be energy-efficient. This thesis …
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Analysis and Evaluation of the Family of Sign Adaptive Algorithms
… respectively. Some misconceptions among biomedical signal processing researchers concerning the implementation of adaptive noise cancelers using the Sign-Error Least Mean Fourth (SLMF), Sign-Sign Least Mean Fourth (SSLMF), and their variant algorithms were also removed. Finally, three of …
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A Frequency Loss Driven Framework for Respiration Monitoring Using Depth-Sensing Cameras
… a deep learning framework tailored for breathing signal extraction and respiratory rate prediction solely from depth images. The proposed architecture combines a Convolutional Neural Network (CNN) for spatial feature extraction with a Long Short-Term Memory (LSTM) network to model temporal …
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Using Wireless Dry EEG System to Detect Mental Workload during Mental Arithmetic
… type of physiological measure is monitoring EEG signal variations. This study examined the efficacy of detecting mental workload in subjects performing mental arithmetic of increasing complexity using a wireless dry EEG system. The level of difficulty was confirmed by performance measures of …
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Wireless Monitoring of Driver's Pulse Rate and Temperature Using Hand Gloves Approach
… transmitter section includes sensors, amplifier, processing unit and Zigbee for transmission. Here the pulse sensor uses a technique called Photoplethysmography (PPG) and temperature sensor used here is LM35. The pulse sensor mounted on the index finger of the gloves acquires the raw data from the …
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NEW ALGORITHMS FOR COMPRESSED SENSING OF MRI: WTWTS, DWTS, WDWTS
… guarantees on the reconstruction of sparse signals while projection on a low dimensional linear subspace. Further enhancements have extended the CS framework by performing Variable Density Sampling (VDS) or using wavelet domain as sparsity basis generator. Recent work in this approach …
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Development of Medical Device for Volume Status Assessment Using Peripheral Venous Pressure
… improved, small peripheral venous pressure (PVP) signals collected using a transducer on an intravenous catheter can be analyzed to monitor patient volume status. This thesis details the development of an embedded system prototype that quickly and accurately assesses volume status using PVP …