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- All Subjects: Biomedical Engineering
- Creators: Arizona State University
- Status: Published
Description
Statistical process control (SPC) and predictive analytics have been used in industrial manufacturing and design, but up until now have not been applied to threshold data of vital sign monitoring in remote care settings. In this study of 20 elders with COPD and/or CHF, extended months of peak flow monitoring (FEV1) using telemedicine are examined to determine when an earlier or later clinical intervention may have been advised. This study demonstrated that SPC may bring less than a 2.0% increase in clinician workload while providing more robust statistically-derived thresholds than clinician-derived thresholds. Using a random K-fold model, FEV1 output was predictably validated to .80 Generalized R-square, demonstrating the adequate learning of a threshold classifier. Disease severity also impacted the model. Forecasting future FEV1 data points is possible with a complex ARIMA (45, 0, 49), but variation and sources of error require tight control. Validation was above average and encouraging for clinician acceptance. These statistical algorithms provide for the patient's own data to drive reduction in variability and, potentially increase clinician efficiency, improve patient outcome, and cost burden to the health care ecosystem.
ContributorsFralick, Celeste (Author) / Muthuswamy, Jitendran (Thesis advisor) / O'Shea, Terrance (Thesis advisor) / LaBelle, Jeffrey (Committee member) / Pizziconi, Vincent (Committee member) / Shea, Kimberly (Committee member) / Arizona State University (Publisher)
Created2013
Description
Our ability to estimate the position of our body parts in space, a fundamentally proprioceptive process, is crucial for interacting with the environment and movement control. For proprioception to support these actions, the Central Nervous System has to rely on a stored internal representation of the body parts in space. However, relatively little is known about this internal representation of arm position. To this end, I developed a method to map proprioceptive estimates of hand location across a 2-d workspace. In this task, I moved each subject's hand to a target location while the subject's eyes were closed. After returning the hand, subjects opened their eyes to verbally report the location of where their fingertip had been. Then, I reconstructed and analyzed the spatial structure of the pattern of estimation errors. In the first couple of experiments I probed the structure and stability of the pattern of errors by manipulating the hand used and tactile feedback provided when the hand was at each target location. I found that the resulting pattern of errors was systematically stable across conditions for each subject, subject-specific, and not uniform across the workspace. These findings suggest that the observed structure of pattern of errors has been constructed through experience, which has resulted in a systematically stable internal representation of arm location. Moreover, this representation is continuously being calibrated across the workspace. In the next two experiments, I aimed to probe the calibration of this structure. To this end, I used two different perturbation paradigms: 1) a virtual reality visuomotor adaptation to induce a local perturbation, 2) and a standard prism adaptation paradigm to induce a global perturbation. I found that the magnitude of the errors significantly increased to a similar extent after each perturbation. This small effect indicates that proprioception is recalibrated to a similar extent regardless of how the perturbation is introduced, suggesting that sensory and motor changes may be two independent processes arising from the perturbation. Moreover, I propose that the internal representation of arm location might be constructed with a global solution and not capable of local changes.
ContributorsRincon Gonzalez, Liliana (Author) / Helms Tillery, Stephen I (Thesis advisor) / Buneo, Christopher A (Thesis advisor) / Santello, Marco (Committee member) / Santos, Veronica (Committee member) / Kleim, Jeffrey (Committee member) / Arizona State University (Publisher)
Created2012
Description
Millions of Americans live with motor impairments resulting from a stroke and the best way to administer rehabilitative therapy to achieve recovery is not well understood. Adaptive mixed reality rehabilitation (AMRR) is a novel integration of motion capture technology and high-level media computing that provides precise kinematic measurements and engaging multimodal feedback for self-assessment during a therapeutic task. The AMRR system was evaluated in a small (N=3) cohort of stroke survivors to determine best practices for administering adaptive, media-based therapy. A proof of concept study followed, examining changes in clinical scale and kinematic performances among a group of stroke survivors who received either a month of AMRR therapy (N = 11) or matched dosing of traditional repetitive task therapy (N = 10). Both groups demonstrated statistically significant improvements in Wolf Motor Function Test and upper-extremity Fugl-Meyer Assessment scores, indicating increased function after the therapy. However, only participants who received AMRR therapy showed a consistent improvement in their kinematic measurements, including those measured in the trained reaching task (reaching to grasp a cone) and in an untrained reaching task (reaching to push a lighted button). These results suggest that that the AMRR system can be used as a therapy tool to enhance both functionality and reaching kinematics that quantify movement quality. Additionally, the AMRR concepts are currently being transitioned to a home-based training application. An inexpensive, easy-to-use, toolkit of tangible objects has been developed to sense, assess and provide feedback on hand function during different functional activities. These objects have been shown to accurately and consistently track hand function in people with unimpaired movements and will be tested with stroke survivors in the future.
ContributorsDuff, Margaret Rose (Author) / Rikakis, Thanassis (Thesis advisor) / He, Jiping (Thesis advisor) / Herman, Richard (Committee member) / Kleim, Jeffrey (Committee member) / Santos, Veronica (Committee member) / Towe, Bruce (Committee member) / Arizona State University (Publisher)
Created2012
Description
Changes to the microenvironment of the endothelium can produce significant changes in the response of endothelial cells to stimuli. Human Aortic Endothelial Cells (HAECs) are tested in vitro for their fluid shear stress response when their substrates, and the solute concentrations of the fluids to which they are exposed, are modulated, and for their nitric oxide expression when they are exposed to hyperglycemic conditions. ImageJ is used to quantify either the degree of cellular alignment and elongation with the direction of flow, or the relative NO expression using the fluorochrome DAF-2. First, the results of Brower, et.al. are replicated: HAECs under normal glucose (4mM) conditions align and elongate with flow (p<<0.05), while high glucose (30.5mM) conditions negate this effect (p<<0.05) and is likely the result of Advanced Glycation End-products (AGEs). Then, in this study it is found that substitution of fibronectin for gelatin substrates does not impair flow (p<<0.05), indicating that fibronectin likely does not participate in the initiation of vascular lesions. High palmitic acid also does not prevent HAEC shear response (p<<0.05), which is consistent with Brower's predictions that AGEs are responsible for impaired elongation and alignment. NO production is significantly increased (p<<0.025) in HAECs cultured 24 hours under high glucose (30.5mM) conditions compared with normal glucose (4mM) conditions, indicating the presence of inducible nitric oxide as part of an inflammatory response. Aminoguanidine (5mM) added to high glucose concentrations reduces, but does not eliminate NO production (p<<0.05), likely due to insufficient concentration. Modulation of the endothelial microenvironment leads to pronounced changes in HAEC behavior with regards to NO production under hyperglycemic conditions. Diabetic model rat aortas are explanted and imaged for the purpose of detecting aortic endothelial cell alignment and elongation; improvements in this method are discussed. A microvessel chamber used with explanted human tissue is re-fit to reduce required volumes of solutions and allow more effective experimentation.
ContributorsLehnhardt, Eric (Author) / Caplan, Michael R (Thesis advisor) / Targovnik, Jerome (Committee member) / Sierks, Michael (Committee member) / Arizona State University (Publisher)
Created2013
Description
Magnetic resonance imaging (MRI) is the most powerful instrument for imaging anatomical structures. One of the most essential components of the MRI scanner is a radiofrequency (RF) coil. It induces resonant phenomena and receives the resonated RF signal from the body. Then, the signal is computed and reconstructed for MR images. Therefore, improving image quality by increasing the receiver's (Rx) efficiency is always remarkable. This research introduces a flexible and stretchable receive RF coil embedded in a dielectric-loaded material. Recent studies show that the adaptable coil can improve imaging quality by flexing and stretching to fit well with the sample's surface, reducing the spatial distance between the load and the coil. High permittivity dielectric material positioned between the coil and phantom was known to increase the RF field distribution's efficiency significantly. Recent studies integrating the high dielectric material with the coil show a significant improvement in signal-to-noise ratio (SNR), which can improve the overall efficiency of the coil. Previous research also introduced new elastic dielectric material, which shows improvement in uniformity when incorporated with an RF coil. Combining the adaptable RF coil with the elastic dielectric material has the potential to enhance the coil's performance further. The flexible dielectric material's limitations and unknown interaction with the coil pose a challenge. Thus, each component was integrated into a simple loop coil step-by-step, which allowed for experimentation and evaluation of the performance of each part. The mechanical performance was tested manually. The introduced coil is highly flexible and can stretch up to 20% of its original length in one direction. The electrical performance was evaluated in simulations and experiments on a 9.4T MRI scanner compared to conventional RF coils.
ContributorsHerabut, Chavalchart (Author) / Sohn, SungMin (Thesis advisor) / Sadleir, Rosalind (Committee member) / Beeman, Scott (Committee member) / Arizona State University (Publisher)
Created2023
Description
Magnetic Resonance Imaging has become an increasingly reliable source of medical imaging to obtain high quality detailed images of the human anatomy. Application specific coil or an array of coils when placed closely to the anatomy produces high quality image due to the improved spatial signal to noise ratio. Elastic RF coils have been shown to conform to the shape of the patient’s body and drastically reduce the gap between coil and anatomy. First, a major challenge faced by these elastic RF coils is the changing impedance condition as the coil takes a different shape for every individual. Next, an area that could benefit from the improved image quality and patient comfort that comes from flexible RF coil design is endorectal prostate imaging. Demonstrated in the first part of this dissertation is a modular solution to compensate the impedance mismatch. Standalone Wireless Impedance Matching (SWIM) system is an automatic impedance mismatch compensation system that can function independently of the MR scanner. The matching network consists of a capacitor array with RF switches to electronically cycle through different input impedance conditions. The SWIM system can automatically calibrate an RF coil in 3s with a reflection coefficient of less than -15dB resulting in improved Signal-to-noise ratio (SNR) of the sample image by 12% - 24%, based on sample size, when compared to a loaded coil without retuning.
For the second part, we propose a novel elastic and inflatable RF coil integrated with the SWIM system for endorectal prostate imaging at 9.4T. A silicone polymer substrate filled with liquid metal alloy is designed and fabricated with a cavity to create ii inflation. This inflatable RF coil is combined with the SWIM system to automatically tune and match after inflating the RF coil for individual levels of inflation. The imaging results have shown a ~10%, ~19%, and ~25 % increase in SNR due to inflation of RF coil at different ROIs in the acquired image. Overall, the methods proposed and discussed in this thesis are a step towards a new generation of RF coil systems for both existing applications and upcoming ones.
ContributorsKandala, Sri Kirthi (Author) / Sohn, Sung-Min (Thesis advisor) / Kdibagkar, Vikram (Committee member) / Sadleir, Rosalind J (Committee member) / Beeman, Scott (Committee member) / Trichopoulos, Georgios (Committee member) / Arizona State University (Publisher)
Created2023
Description
Non-invasive visualization of the trigeminal nerve through advanced MR sequences and methods like tractography is important for studying anatomical and microstructural changes due to pathology like trigeminal neuralgia (TN), facial dystonia, multiple sclerosis, and for surgical pre-planning. The use of specific anatomical markers from CT, MPRAGE and cranial nerve imaging (CRANI) sequences, enabled successful tractography of patient-specific trajectory of the frontal, nasociliary, infraorbital, and mandibular nerve branches extending beyond the cisternal brain stem region and leading to the face. Performance of MPRAGE sequence together with the advanced T2-weighted CRANI sequence with and without a gadolinium contrast agent, was studied to characterize identification efficiency in smaller nerve structures in the extremities. A large FOV nerve visualization exam inclusive of the anatomy of all trigeminal nerve distal branches can be obtained within an acquisition time of 20 minutes using pre-contrast CRANI and MPRAGE. Post-processing with MPR and MIP images improved nerve visualization.Transcranial electrical stimulation techniques (TES) have been used for the treatment of multiple neurodegenerative diseases. These techniques involve placing electrodes on the scalp with multiple peripheral branches of the trigeminal nerve crossing directly under that may be stimulated. This was studied through hybrid computational realistic axon models. These models also facilitated studying the effects of electrode drift during experiments on the recruitment of peripheral nerves. An optimal point of lowest threshold was found while displacing the nerve horizontally i.e., the activation thresholds of both myelinated and unmyelinated axons increased when the electrodes were displaced medially and decreased to a certain extend when the electrodes were displaced laterally, after which further lateral displacement led to increase of thresholds. Inclusion of unmyelinated axons in the modeling provided the capability of finding maximum stimulation amplitude below which side effects like pain sensation may be avoided. In the case of F3 – F4 electrode montage the maximum amplitude was 2.39 mA and in case of RS – LS montage the maximum amplitude was 2.44 mA. Such modeling studies may be useful for personalization of TES devices for finding optimal positioning of electrodes with respect to target and stimulation amplitude range that minimizes side effects.
ContributorsSahu, Sulagna (Author) / Sadleir, Rosalind (Thesis advisor) / Tillery, Stephen H (Committee member) / Crook, Sharon (Committee member) / Beeman, Scott (Committee member) / Abbas, James (Committee member) / Arizona State University (Publisher)
Created2023
Description
Allogeneic islet transplantation has the potential to reverse Type 1 Diabetes in patients. However, limitations such as chronic immunosuppression, islet donor numbers, and islet survival post-transplantation prevent the widespread application of allogeneic islet transplantation as the treatment of choice. Macroencapsulation devices have been widely used in allogeneic islet transplantation due to their capability to shield transplanted cells from the immune system as well as provide a supportive environment for cell viability, but macroencapsulation devices face oxygen transport challenges as their geometry increases from preclinical to clinical scales. The goal of this work is to generate complex 3D hydrogel macroencapsulation devices with sufficient oxygen transport to support encapsulated cell survival and generate these devices in a way that is accessible in the clinic as well as scaled manufacturing. A 3D-printed injection mold has been developed to generate hydrogel-based cell encapsulation devices with spiral geometries. The spiral geometry of the macroencapsulation device facilitates greater oxygen transport throughout the whole device resulting in improved islet function in vivo in a syngeneic rat model. A computational model of the oxygen concentration within macroencapsulation devices, validated by in vitro analysis, predicts that cells and islets maintain a greater viability and function in the spiral macroencapsulation device. To further validate the computational model, pO2 Reporter Composite Hydrogels (PORCH) are engineered to enable spatiotemporal measurement of oxygen tension within macroencapsulation devices using the Proton Imaging of Siloxanes to map Tissue Oxygenation Levels (PISTOL) magnetic resonance imaging approach. Overall, a macroencapsulation device geometry designed via computational modeling of device oxygen gradients and validated with magnetic resonance (MR) oximetry imaging enhances islet function and survival for islet transplantation.
ContributorsEmerson, Amy (Author) / Weaver, Jessica (Thesis advisor) / Kodibagkar, Vikram (Committee member) / Sadleir, Rosalind (Committee member) / Stabenfeldt, Sarah (Committee member) / Wang, Kuei-Chun (Committee member) / Arizona State University (Publisher)
Created2023
Description
In the realm of biosensors and nanotechnology, deoxyribonucleic acid (DNA) nanosensors have demonstrated tremendous potential across diverse real-world applications, from environmental monitoring to healthcare diagnostics. Fabrication of nanosensors allows assembling and designing of DNA molecules at nanoscale with high precision and versatility. Such fabricating DNA nanosensors are quite time consuming. Hence it is important to store them in batches. However synthetic DNA molecules can be prone to degradation over time, especially when exposed to various environmental factors like light, heat, or any other chemical contaminants. To address this issue, a shelf life study of DNA nanosensors using various lyoprotectant conditions was carried out to determine the long term stability of such sensors. This study involves fabrication of the dendritic, double - stranded DNA nanosensors involving five strands L1 through L5 conjugated with pHAb fluorophores via N-hydroxysuccinimide ester reaction and acetylcholinesterase (AChE) enzyme, a core component of the sensor. This sensor was originally a fluorescent ACh-selective nanosensors designed to accommodate the BTX ligand, AChE to image the ACh release in the submandibular region of the living mice to report real time quantitative endogenous ACh release triggered by electrical stimulation. AChE enzyme is a good receptor to detect acetylcholine release in the Peripheral Nervous System (PNS). The primary objective of the study was to assess DNA nanosensors with AChE, however due to the intricate interactions, non-specific binding and cost-effectiveness, the shelf life study was carried out separately. The shelf study includes observing DNA nanosensors with different disaccharide lyoprotectants like trehalose and sucrose that were analyzed under different temperature conditions: room temperature (25ºC) and at 50 ºC for different time intervals, over a week time. Also, Observing AChE with various protectants under 50 ºC with and without lyoprotectants for various time intervals like 24 hours and 48 hours. To replicate the real-world transit scenarios, the study also involves test-shipment of the samples with lyoprotectants for 2-3 days to both cross-country and local (in-state). As a result, the use of lyoprotectants, particularly trehalose, has proven to be more resilient and effective in preserving the stability and integrity of DNA nanosensors and Acetylcholinesterase (AChE) enzymes
ContributorsSrinivasan, Nikita (Author) / Clark, Heather A (Thesis advisor) / Ma, Kristine Y (Committee member) / Beeman, Scott (Committee member) / Arizona State University (Publisher)
Created2023
Description
Cellular metabolism is an essential process required for tissue formation, energy production and systemic homeostasis and becomes dysregulated in many disease states. In the context of human cerebral cortex development, there’s a limited understanding of how metabolic pathways, such as glycolysis, impacts proliferation and differentiation of cortical cells. The technical challenges of studying primary in vivo cortical tissue at a cellular and molecular level led to the development of human pluripotent stem cell (PSC) derived cortical organoids. Cortical organoids are a highly tractable model system that can be used for high-throughput investigation of early stages of development and corresponding glycolytic programs. Through transplantation of cortical organoids into the developing mouse cortex, human cortical cells can also be studied in an in vivo environment that more closely resembles endogenous development where the impact of metabolism in typical developmental programs and disease states can be studied. While current data is preliminary, initial observations suggest that cortical populations increase glucose uptake over time and regulation of glucose uptake rates occur in cell type-specific manner. Additionally, mouse transplantation data suggests that glycolytic activity is downregulated post-transplantation, suggesting that the in vitro environment contributes metabolic state. The more dynamic range of metabolic states in vivo may impact the rate of differentiation and maturation in cellular populations in the transplant model. I hypothesize that the more endogenous-like regulation of glycolysis may impact the proliferative window and expansion of key progenitor cell types in the human brain, particularly the intermediate progenitor cells.
ContributorsMorales, Alexandria (Author) / Andrews, Madeline (Thesis advisor) / Newbern, Jason (Committee member) / Stabenfeldt, Sarah (Committee member) / Arizona State University (Publisher)
Created2023