Biomedical Engineering and Bioengineering Commons^™

Noncontact Liquid Crystalline Broadband Optoacoustic Sensors [U.S. Patent Us11366054b2], Hengky Chandrahalim, Michael T. Dela Cruz

Faculty Publications

An optoacoustic sensor includes a liquid crystal (LC) cell formed between top and bottom plates of transparent material. A transverse grating formed across the LC cell that forms an optical transmission bandgap. A CL is aligned to form a spring-like, tunable Bragg grating that is naturally responsive to external agitations providing a spectral transition regime, or edge, in the optical transmission bandgap of the transverse grating that respond to broadband acoustic waves. The optoacoustic sensor includes a narrowband light source that is oriented to transmit light through the top plate, the LC cell, and the bottom plate. The optoacoustic sensor ...

Exploring The Metabolic Landscape Of Pancreatic Ductal Adenocarcinoma Cells Using Genome-Scale Metabolic Modeling, Mohammad Mazharul Islam, Andrea Goertzen, Pankaj K. Singh, Rajib Saha

Chemical and Biomolecular Engineering -- All Faculty Papers

Pancreatic ductal adenocarcinoma (PDAC) is a major research focus because of its poor therapy response and dismal prognosis. PDAC cells adapt their metabolism to the surrounding environment, often relying on diverse nutrient sources. Because traditional experimental techniques appear exhaustive to find a viable therapeutic strategy, a highly curated and omics-informed PDAC genome-scale metabolic model was reconstructed using patient-specific transcriptomics data. From the model-predictions, several new metabolic functions were explored as potential therapeutic targets in addition to the known metabolic hallmarks of PDAC. Significant downregulation in the peroxisomal beta oxidation pathway, flux modulation in the carnitine shuttle system, and upregulation in ...

The Influence Of Flow Mechanotransduction On Endothelial Cells In The Lymphatic Valve Sinus, Joshua Daniel Hall

Doctoral Dissertations

Fluid flow in the cardiovascular and lymphatic systems influences the phenotype of endothelial cells that line the interior to the vessel via mechanotransduction. Geometric features in a vessel such as curvature, bifurcation, and valves promote heterogeneous fluid flow profiles, inducing a heterogeneous endothelial phenotype within a vessel region. Certain flow conditions are associated with vascular dysfunction, and diseases such as atherosclerosis preferentially develop in areas of flow disturbance. Lymphatic vessels are highly analogous to blood vessels, although lymphatic flow characteristics and its effect on lymphatic endothelial cells (LECs) via mechanotransduction have been comparatively less examined. The most significant geometric features ...

Cardio-Net: A Matlab-Based Software For The Display And Diagnostic Utilization Of Vectorcardiograms, Ali H. Mannaa, Domenico Gatti

Medical Student Research Symposium

Background: The 12-lead technique is the standard in ECG, however alternate cardiography modalities such as vectorcardiography (VCG) exist . While the VCG modality offers unique clinical metrics and certain advantages over ECG, it is hardly utilized due to it being more difficult to obtain than ECG. Here we introduce Cardio-Net, a MATLAB-based software that uses standard 12-lead ECG data to generate and visualize VCGs. Furthermore, we demonstrate the diagnostic potential of VCG by utilizing a recurrent neural network (RNN) to accurately classify vectorcardiograms.

Methods: MATLAB version 2019b and the following toolboxes were used for data processing: Deep learning, Wavelet, Signal processing ...

Air Wear, Ani M. Svadjian, Ada A. Tadeo, Deepthi Ravuru

General Engineering

Since the outbreak of COVID-19 pandemic, hospitals have experienced an overwhelming increase in patients needing respiratory assistance. Our client identified the need for a sustainable, affordable, and portable outpatient device that will provide supplemental oxygen and assisted breathing to speed up the patient recovery process. Our team accomplished to design a device that contains a more sustainable oxygen supply method, has a longer functional duration, is safer and ergonomic, as well as compact.

Eagle Medical Tray Denesting & Debris Removal Process, Nicholas Allen Ungefug, Noah Chavez, Susana Shu-Lin Okhuysen, Michael Augustine Pennington

Industrial and Manufacturing Engineering

Eagle Medical Incorporated is a contract medical device packaging and sterilization company. The company purchases thermoformed medical packaging trays, which maintain the sterility of medical devices, from various manufacturers. To ensure packaging quality and to prevent cleanroom contamination, Eagle Medical inspects and sterilizes each blister tray that they order. This process is an essential non-value-added activity that creates a bottleneck. Cleanroom employees must stop packaging medical devices and attend to the processing of blister trays and packaging solutions. The blister trays arrive at Eagle’s facility in nested stacks. Vibration and movement during shipping further compresses the stacks, which makes ...

Self-Balancing Bicycle Device, Charles Cole, Raffy Lorenzo, Neil Boyal

Biomedical Engineering

The sponsor, Justin Shaw, is currently developing a bicycle for an athlete who has lost movement in their legs. This athlete can no longer experience the unmatched feeling of naturally banking a bicycle at corners. The Self-Balancing Bike Device Team will create a device that can self-balance an electric recumbent bicycle at low speeds while being almost undetectable while turning. This document will outline the team’s background research into self-balancing vehicles, define the needs that must be solved, and delineate a schedule for future milestones.

Comparison Of Performance Of Self-Expanding And Balloon-Expandable Transcatheter Aortic Valves, Hoda Hatoum, Milad Samaee, Janarthanan Sathananthan, Stephanie Sellers, Maximilian Kuetting, Scott M. Lilly, Abdul R. Ihdayhid, Philipp Blanke, Jonathon Leipsic, Vinod H. Thourani, Lakshmi Prasad Dasi

Michigan Tech Publications

Objective: To evaluate the flow dynamics of self-expanding and balloon-expandable transcatheter aortic valves pertaining to turbulence and pressure recovery. Transcatheter aortic valves are characterized by different designs that have different valve performance and outcomes. Methods: Assessment of transcatheter aortic valves was performed using self-expanding devices (26-mm Evolut [Medtronic], 23-mm Allegra [New Valve Technologies], and small Acurate neo [Boston Scientific]) and a balloon-expandable device (23-mm Sapien 3 [Edwards Lifesciences]). Particle image velocimetry assessed the flow downstream. A Millar catheter was used for pressure recovery calculation. Velocity, Reynolds shear stresses, viscous shear stress, and pressure gradients were calculated. Results: The maximal velocity ...

Speech Emotion Recognition System Using Librosa For Better Customer Experience, Subhadarshini Mohanty, Subasish Mohapatra, Amlan Sahoo

Graduate Research in Engineering and Technology (GRET)

Call center employees usually depend on instinct to judge a potential customer and how to pitch to them. In this paper, we pitch a more effective way for call center employees to generate more leads and engagement to generate higher revenue by analyzing the speech of the target customer by using machine learning practices and depending on data to make data-driven decisions rather than intuition. Speech Emotion Recognition otherwise known as SER is the demonstration of aspiring to perceive human inclination along with the behavior. Normally voice reflects basic feeling through tone and pitch. According to human behavior, many creatures ...

Forecasting The Time Delay In Delivery Of Pharmaceutical Products, Subhalaxmi Hotta, Sonali Sahoo, Tripti Swarnkar

Graduate Research in Engineering and Technology (GRET)

Supply chain management system is a centralized system which controls and plans the activities involved from production to delivery of a product. Disruption in treatment and loss of life occurs due to delay in delivery of pharmaceutical products. The objective is to do a model using Machine learning algorithms to determine: Classification to predict which product will be delayed and Regression shows how much time it will be delayed exactly. This study will use publicly available supply chain data which helps to identify primary aspect of predicting whether HIV drugs are delivered in time or not. It will then use ...

Fortune Of Smart-Phones By A Model Recommendation, Sonali Sahoo, Subhalaxmi Hotta, Tripti Swarnkar

Graduate Research in Engineering and Technology (GRET)

In recent market, there are several cell phones available, Smart phones differ based on their Operating system. Here we are going to do a comparison between two Operating systems i.e., “IOS and ANDROID”. The comparison starts including the basic features of smart phones. The features are varying from each other. Some of them are categorical and some are numerical. According to these data, classify the smart phones using machine learning classification model. After the classification we are going to analyse which operating system-based Smartphone will be taken for further classification. A “Recommendation system”, will be designed which recommend a ...

Iot In Healthcare Domain, Manisha Banka, Ankita Mishra, Sushreeta Tripathy

Graduate Research in Engineering and Technology (GRET)

In the current scenario, the Internet of Things (IoT) is an emerging technology. IoT is a new pattern that has changed the long-established way of living into a modernistic life style. IoT is the network of physical objects, which enables to collect data and exchange it without human intervention. In general, IoT has been established to interlink the latest healthcare resources and to provide smart and efficient healthcare facilities to the people. IoT allows objects to be sensed and controlled remotely across existing network infrastructure. Health maintenance has become a considerable socio-economic concern when it comes to health expenses, need ...

Application Of Text Mining In Social Media, Gopal Krushna Padhi, Sushreeta Tripathy

Graduate Research in Engineering and Technology (GRET)

Text mining or information discovery is that sub manner of information mining that is extensively being used to find out hidden styles and huge records from the massive amount of unstructured written fabric. Text mining allows accelerate know-how discovery by way of notably growing the amount records that can be analyzed. Rapid development in digital facts acquisition strategies have caused huge extent of facts. More than 80 percentages of these day’s statistics is composed of unstructured or semi-based information. This sort of data cannot be used until or unless particular records or pattern is determined. The discovery of appropriate ...

A Machine Learning Based Drug Recommendation System For Health Care, Mahima Mohapatra, Mamata Nayak, Saswati Mahapatra

Graduate Research in Engineering and Technology (GRET)

In today’s digital era healthcare is one among the major core areas of the medical domain. People trying to find suitable health-related information that they are concerned with. The Internet could be a great resource for this kind of data, however you need to take care to avoid getting harmful information. Nowadays, a colossal quantity of clinical information dispersed totally across different websites on the Internet prevents users from finding useful information for their well-being improvement. Errors in medication are one of the foremost severe medical faults that would be a threat to patients’ lives. These problems increases the ...

Benford’S Law For Data Cleaning In Big Data, Prachurya Ray

Graduate Research in Engineering and Technology (GRET)

With the exponential increase in data, the need to authenticate the integrity accuracy of the data also increases. Regarded as a mysterious law, Benford's Law has seen many use cases over the centuries ranging from detecting fraud in accounting to checking for GAN generated images. This First digit law has helped finding anomalies in various data across many domains. This paper summarizes what this mysterious law is and implements the same to asteroid data to check for the pattern. This law has the potential to handle the growing need for authenticity for the big data revolution. Further research on ...

Application Of Neural Networks To Predict Patient-Specific Cellular Parameters In Computational Cardiac Models, Chang Hi Lee

McKelvey School of Engineering Theses & Dissertations

Sudden cardiac death(SCD) is a significant cause of death that accounts for more than 180,000 deaths in the US and 4 million deaths worldwide annually. SCDs are mainly caused by irregular heartbeats called arrhythmias, which are caused by abnormal electrical activity within the heart. Precision medicine, in the form of personalized computational cardiac models of a patient’s heart, can suggest optimal therapies for cardiac arrhythmias. Prior work has used finite element meshes derived from cardiac MRIs to simulate cardiac electrical activity. In this study, I sought to augment this approach by developing a neural network to learn ...

Optimal Design Of Bacterial Carpets For Fluid Pumping, Minghao W. Rostami, Weifan Liu, Amy Buchmann, Eva Strawbridge, Longhua Zhao

Biology and Medicine Through Mathematics Conference

No abstract provided.

Study Of Cardiovascular Dynamics During Graded Head-Up Tilt Test In The Young With Syncope Tendency, Martin A. Miranda Sr

Biology and Medicine Through Mathematics Conference

No abstract provided.

Closed-Loop Brain-Computer Interfaces For Memory Restoration Using Deep Brain Stimulation, David Xiaoliang Wang

Electrical Engineering Theses and Dissertations

The past two decades have witnessed the rapid growth of therapeutic brain-computer interfaces (BCI) targeting a diversity of brain dysfunctions. Among many neurosurgical procedures, deep brain stimulation (DBS) with neuromodulation technique has emerged as a fruitful treatment for neurodegenerative disorders such as epilepsy, Parkinson's disease, post-traumatic amnesia, and Alzheimer's disease, as well as neuropsychiatric disorders such as depression, obsessive-compulsive disorder, and schizophrenia. In parallel to the open-loop neuromodulation strategies for neuromotor disorders, recent investigations have demonstrated the superior performance of closed-loop neuromodulation systems for memory-relevant disorders due to the more sophisticated underlying brain circuitry during cognitive processes. Our ...

Scandy: Simulating Realistic Human Scanpaths In Dynamic Real-World Scenes, Nicolas Roth, Martin Rolfs, Klaus Obermayer

MODVIS Workshop

No abstract provided.