Biomedical Engineering and Bioengineering Commons^™

การเปรียบเทียบวิธีประเมินการจำแนกเสียงพูดโดยใช้ศักย์ไฟฟ้าสมองสัมพันธ์กับเหตุการณ์, พิมพ์วิภา จารุธำรง

Chulalongkorn University Theses and Dissertations (Chula ETD)

การจำแนกเสียงพูดคือความสามารถในการจำแนกระหว่างเสียงพยางค์หรือคำ คนที่มีความสามารถในการจำแนกเสียงพูดต่ำมักจะมีปัญหาในการแยกระหว่างคำที่มีเสียงคล้ายกัน โดยปกติการจำแนกเสียงพูดถูกประเมินโดยนักโสตสัมผัสวิทยาทำให้เข้าถึงการประเมินได้ยากเนื่องจากมีนักโสตสัมผัสวิทยาจำนวนไม่มาก นอกจากนี้การประเมินอาจใช้เวลานานหรือไม่สะดวกสำหรับผู้ป่วยบางกลุ่ม เพื่อลดปัญหาเหล่านี้จึงมีการพัฒนาวิธีประเมินการจำแนกเสียงพูดโดยใช้ศักย์ไฟฟ้าสมองสัมพันธ์กับเหตุการณ์ (Event-Related Potentials) วิธีหนึ่งที่มีการใช้คือการสังเกตองค์ประกอบ Mismatch Negativity (MMN) ระหว่างทำการทดลองการฟังแบบ Oddball ต่อมามีการเสนอวิธีใหม่โดยนำสิ่งกระตุ้นทางสายตาที่เป็นตัวอักษรมาใช้ร่วมกับสิ่งกระตุ้นทางเสียง งานวิจัยนี้เสนอวิธีการประเมินโดยใช้ภาพที่แสดงถึงความหมายของคำโดยแบ่งออกเป็นสามแบบที่มีจำนวนภาพและลำดับในการทดลองแตกต่างกัน วิธีใช้ภาพความหมายของคำแต่ละแบบรวมทั้งวิธีที่ใช้การฟังแบบ Oddball และวิธีที่ใช้ตัวอักษรถูกนำมาทดสอบโดยใช้คำสองคำที่มีเสียงพยัญชนะต่างกันแต่มีเสียงสระและเสียงวรรณยุกต์เหมือนกันเพื่อเปรียบเทียบระหว่างแต่ละวิธีโดยนำรูปคลื่นที่ได้มาสร้างเป็นชุดคุณลักษณะแล้วใช้เทคนิคการเรียนรู้ของเครื่อง (Machine Learning) เพื่อจำแนกระหว่างแต่ละเงื่อนไขในการทดลองซึ่งตัวจำแนกที่ใช้ได้แก่ Linear Discriminant Analysis (LDA) และ Support Vector Machine (SVM) จากการเปรียบเทียบพบว่ามีวิธีที่สามารถนำมาใช้สองวิธี ได้แก่วิธีใช้ภาพความหมายของคำแบบภาพเดียวและวิธีไม่ใช้ภาพ ทั้งสองวิธีนี้ให้ความแม่นยำในการจำแนกสูงกว่า 80% และใช้เวลาหรือสมาธิในการทดลองน้อยกว่าวิธีอื่น การประเมินการจำแนกเสียงพูดโดยใช้วิธีเหล่านี้สามารถนำไปใช้เป็นเครื่องมือคัดกรองอัตโนมัติที่ช่วยประเมินและแนะนำว่าผู้ป่วยควรจะถูกส่งต่อเพื่อตรวจยืนยันกับนักโสตสัมผัสวิทยาหรือไม่ซึ่งสามารถช่วยลดภาระงานของนักโสตสัมผัสวิทยาและทำให้การประเมินเข้าถึงได้ง่ายขึ้น

Barcode Biosensors Based On Surface Plasmon Resonance, Sneha Ramesh

Graduate Research Theses & Dissertations

Affordable and easy to use biological assays are the current need of the day owing to the rising cost of health care within the US and worldwide. The goal of this thesis is to develop a sensitive label-free biosensing scheme exploiting surface plasmon resonance (SPR) that yields the sensor output in an easy-to-read optical bio-barcode format for high through put and multiplexed medical diagnostics. Through this research, we would like to investigate if SPR phenomena can be achieved by fabricating SP supporting metallic structures over a nanoporous dielectric layer whose optical constants are progressively varied across the substrate in a …

Clinical Applications And Feasibility Of Proton Ct And Proton Radiography, Christina Marie Sarosiek

Graduate Research Theses & Dissertations

Proton therapy is a form of radiation treatment for cancer that utilizes the Bragg peak to create conformal high dose regions around the tumor volume. However, the use of x-ray computed tomography (CT) and x-ray radiography for treatment planning and pre-treatment quality assurance procedures improves the achievable effectiveness of proton treatment plans (using proton CT) and the pretreatment verification (using proton radiography). Errors in the conversion from x-ray Hounsfield units (HU) to proton relative stopping powers (RSP) leads to errors in the predicted proton range. To account for the errors, 3.5% margins are included in the treatment plan. This means …

Accurate Measurement Of Healthy Joint Kinematics To Inform Diagnosis And Treatment, Vasiliki Kefala

Electronic Theses and Dissertations

The description of human motion has a primary importance in different scientific areas such as medicine, sports, physical therapy. Kinematics specifically studies pure motion without reference to the causes of motion such as forces. Understanding the kinematics of human movement is of critical importance in medicine and biology. Motion measure­ment can be used in order to to evaluate functional performance of limbs under normal and abnormal conditions. Kinematic knowledge is also important for diagnosis and surgi­cal treatment of joint disease and the design of implants to rehabilitate function. Accurate joint kinematics is essential to protect articular functionality. An alteration may …

Rheological Analysis Of The Mechanical Properties Of Murine Lungs Over The Lifespan, Olajumoke Olufunke Harrison

Theses and Dissertations

To study the effects of aging in murine lungs, we characterized C57Bl6j mice from neonatal to 24-month-old mice. Samples were divided into two groups: Young Mice (YM) and Middle Age/Old Age Mice (MOM). The YM group included the neonatal and 6-10week. The MOM group included 7- and 22–24-month-old mice. Rheological testing was performed using a TA Instruments DHR-2 Rheometer to collect the mechanics of each mice sample. Utilizing a 20-mm parallel plate fixture, a gap of 0.8-1.0-mm, and a temperature setting of 25C, we conducted a frequency sweep. Samples were the decellularized over a four-day process then lyophilized for mass …

Therapeutic Modalities For Preventing Osteoarthritis Following Trauma To The Knee, Kayla M. Scott

Theses and Dissertations

Over 32.5 million adults in the United States and 300 million worldwide have osteoarthritis (OA). To date, there are no disease-modifying therapeutics, only strategies to slow OA progression through pain management, regenerative medicine approaches, and ultimately joint replacement.

On a microscale, a phenotypic shift of the normally quiescent articular chondrocytes leads to aberrant expression of pro-inflammatory and catabolic pathways, which are hypothesized to contribute to OA progression. Of note, interleukin-1β (IL-1β), tumor necrosis factor-α (TNF-α), and WNT/β-catenin signaling are key players disrupting cartilage homeostasis and driving inflammatory pathway activation. These pathways become dysregulated and form a positive feedback loop, increasing …

Cold Atmospheric-Pressure Plasma Caused Protein Damage In Methicillin-Resistant Staphylococcus Aureus Cells In Biofilms, Li Guo, Lu Yang, Yu Qi, Gulimire Niyazi, Lingling Huang, Lu Gou, Zifeng Wang, Lei Zhang, Dingxin Liu, Xiaohua Wang, Hailan Chen, Michael G. Kong

Bioelectrics Publications

Biofilms formed by multidrug-resistant bacteria are a major cause of hospital-acquired infections. Cold atmospheric-pressure plasma (CAP) is attractive for sterilization, especially to disrupt biofilms formed by multidrug-resistant bacteria. However, the underlying molecular mechanism is not clear. In this study, CAP effectively reduced the living cells in the biofilms formed by methicillin-resistant Staphylococcus aureus, and 6 min treatment with CAP reduced the S. aureus cells in biofilms by 3.5 log₁₀. The treatment with CAP caused the polymerization of SaFtsZ and SaClpP proteins in the S. aureus cells of the biofilms. In vitro analysis demonstrated that recombinant SaFtsZ lost …

Connexin Hemichannel Activation By S-Nitrosoglutathione Synergizes Strongly With Photodynamic Therapy Potentiating Anti-Tumor Bystander Killing, Chiara Nardin, Chiara Peres, Sabrina Putti, Tiziana Orsini, Claudia Colussi, Flavia Mazzarda, Marcello Raspa, Ferdinando Scavizzi, Anna Maria Salvatore, Francesco Chiani, Abraham Tettey-Matey, Yuanyuan Kuang, Guang Yang, Mauricio A. Retamal, Fabio Mammano

Bioelectrics Publications

In this study, we used B16-F10 cells grown in the dorsal skinfold chamber (DSC) preparation that allowed us to gain optical access to the processes triggered by photodynamic therapy (PDT). Partial irradiation of a photosensitized melanoma triggered cell death in non-irradiated tumor cells. Multiphoton intravital microscopy with genetically encoded fluorescence indicators revealed that bystander cell death was mediated by paracrine signaling due to adenosine triphosphate (ATP) release from connexin (Cx) hemichannels (HCs). Intercellular calcium (Ca²⁺) waves propagated from irradiated to bystander cells promoting intracellular Ca²⁺ transfer from the endoplasmic reticulum (ER) to mitochondria and rapid activation of …

Intermittent Theta Burst Stimulation: Application To Spinal Cord Injury Rehabilitation And Computational Modeling, Neil Mittal

Theses and Dissertations

Loss of motor function from spinal cord injuries (SCI) results in loss of independence. Rehabilitation efforts are targeted to enhance the ability to perform activities of daily living (ADLs), but outcomes from physical therapy alone are often insufficient. Neuromodulation techniques that induce neuroplasticity may push the limits on recovery. Neuromodulation by intermittent theta burst transcranial magnetic stimulation (iTBS) induces neuroplasticity by increasing corticomotor excitability, though this has most frequently been studied with motor targets and on individuals not in need of rehabilitation. Increased corticomotor excitability is associated with motor learning. The response to iTBS, however, is highly variable and unpredictable, …

Injectable Gelatin-Silk Fibroin Composite Hydrogels For In Situ Cell Encapsulation, Ryann D. Boudreau

Honors Theses and Capstones

Hydrogels are widely used tools for tissue engineering and regenerative medicine. Characterized as biofunctional, water-based polymer matrices with tunable mechanical properties, hydrogels have promising but limited applications in biomedical engineering, due to poor and static matrix strength. Here we plan to rectify this issue by introducing a new hydrogel made from a composite of gelatin and silk fibroin crosslinked by microbial transglutaminase (mTG) instantly and beta sheet formation gradually, respectively. This interpenetrating network (IPN) shows enhanced mechanical stiffness and strength compared to gelatin hydrogels, and is capable of encapsulating human cells with high viability demonstrated by the encapsulation of human …

Neurovascular Catheter Measurement System Development For Process And Design Effect Evaluation, Cathal Tadhg Merz

Theses

Neurovascular guide catheters are used to treat problems affecting blood vessels within the brain through minimally invasive procedures. Catheters are inserted into the patient via their femoral or brachial arteries and manually navigated to the brain to deliver treatment. This procedure replaces the requirement to cut into the patient’s skull and brain tissue but is limited by reduction of blood vessel lumen diameter and increase in tortuosity of blood vessels deep in the brain. During these procedures, catheters can sometimes fail by kinking or fracturing into two pieces. The rate of failure by fracture of a particular neurovascular catheter device …

A Linear Predictive Coding Filtering Method For Time-Resolved Morphology Of Eeg Activity, Jin Xu, Mark Davis, Ruairí De Fréin

Conference papers

This paper introduces a new time-resolved spectral analysis method based on the Linear Prediction Coding (LPC) method that is particularly suited to the study of the dynamics of EEG (Electroencephalography) activity. The spectral dynamics of EEG signals can be challenging to analyse as they contain multiple frequency components and are often corrupted by noise. The LPC Filtering (LPCF) method described here processes the LPC poles to generate a series of reduced-order filter transform functions which can accurately estimate the dominant frequencies. The LPCF method is a parameterized time-frequency method that is suitable for identifying the dominant frequencies of multiple-component signals …

A Deblurring/Denoising Corrected Scintigraphic Planar Image Reconstruction Model For Targeted Alpha Theory, Charles Ross Schmidtlein, Matthew Maroun, Andrzej Krol, Howard Gifford, Lisa Bodei, Joseph O'Donoghue, Ida Häggström, Yuesheng Xu, Si Li

Mathematics & Statistics Faculty Publications

Scintigraphy is a common nuclear medicine method to image molecular target’s bio-distribution and pharmacokinetics through the use of radiotracers and gamma cameras. The patient’s images are obtained by using a pair of opposing large flat gamma ray detectors equipped with parallel-hole lead or tungsten collimators that preferentially detect gamma-rays that are emitted perpendicular to the plane of the detector. The resulting images form an anterior/posterior (A/P) planar image pairs. The obtained images are contaminated by noise and contain artifacts caused by gamma-ray attenuation, collimator penetration, scatter and other detrimental factors. Post-filtering of the images can reduce the noise, but at …

Fmri Feature Extraction Model For Adhd Classification Using Convolutional Neural Network, Senuri De Silva, Sanuwani Udara Dayarathna, Gangani Ariyarathne, Dulani Meedeniya, Sampath Jayarathna

Computer Science Faculty Publications

Biomedical intelligence provides a predictive mechanism for the automatic diagnosis of diseases and disorders. With the advancements of computational biology, neuroimaging techniques have been used extensively in clinical data analysis. Attention deficit hyperactivity disorder (ADHD) is a psychiatric disorder, with the symptomology of inattention, impulsivity, and hyperactivity, in which early diagnosis is crucial to prevent unwelcome outcomes. This study addresses ADHD identification using functional magnetic resonance imaging (fMRI) data for the resting state brain by evaluating multiple feature extraction methods. The features of seed-based correlation (SBC), fractional amplitude of low-frequency fluctuation (fALFF), and regional homogeneity (ReHo) are comparatively applied to …

Combining Cryo-Em Density Map And Residue Contact For Protein Secondary Structure Topologies, Maytha Alshammari, Jing He

Computer Science Faculty Publications

Although atomic structures have been determined directly from cryo-EM density maps with high resolutions, current structure determination methods for medium resolution (5 to 10 Å) cryo-EM maps are limited by the availability of structure templates. Secondary structure traces are lines detected from a cryo-EM density map for α-helices and β-strands of a protein. A topology of secondary structures defines the mapping between a set of sequence segments and a set of traces of secondary structures in three-dimensional space. In order to enhance accuracy in ranking secondary structure topologies, we explored a method that combines three sources of information: a set …

Toward An Interactive, Patient-Specific, Vr-Based Obstetrics Simulator, Michel A. Audette, Marco Parente, Dulce Oliveira, Sreekanth Arikatla, Alfred Abuhamad, Rumit Singh Kakar, Mark Scerbo, Lucia Tabacu, John Conery, Christopher Macgowan, Renato Natal Jorge

Electrical & Computer Engineering Faculty Publications

This paper presents a nascent collaborative effort to achieve a Virtual Reality (VR)-based, real-time, haptics-driven patient-specific obstetrics simulator. The high-level architecture and preliminary results are presented here; the latter are based on offline birthing simulation developed by team in conjunction with open-source visualization tools. The cornerstones of this simulator will be high-fidelity generic offline birthing simulation, an anatomy-to-image nonrigid registration pipeline exploiting fetal MRI, the open-source interactive medical simulation toolkit IMSTK augmented by high-throughput deep learning-based soft tissue deformation, open-source musculoskeletal dynamics simulation platform SimTk for representing fetal motion. The initial emphasis will be on shoulder dystocia. The two main …

An Accuracy And Precision Analysis Of The Velys™ Robotic Assisted Solution For Total Knee Arthroplasty, Gary Doan

Electronic Theses and Dissertations

Total knee arthroplasty (TKA) is a procedure where the arthritic surfaces of the knee is removed and replaced with a combination of metal and polymer implants that recreates the joint line to restore function and quality of life. Implant alignment is important in the success of a TKA. Modern day conventional instrumentation can be cumbersome in the operating room and can be inaccurate when resecting bone and aligning implants. Patients with large errors in resections and implant orientation are more prone to experience mechanical failures with their TKA. Mechanical failures in primary TKA require revision surgeries which can lead to …

Dislocation Mechanics Of Total Hip Arthroplasty: A Combined Experimental And Computational Analysis, Michael Scinto

Electronic Theses and Dissertations

While total hip arthroplasty is considered a successful procedure, dislocation remains a serious complication as recurrent dislocations may require additional surgeries. Knowledge on dislocation events as they occur in vivo are limited, therefore researchers rely on experimental and computational methods. A custom MATLAB script and an experimental procedure utilizing a six-degree of freedom actuator were developed to further understand how various surgical considerations affect dislocation mechanics in total hip arthroplasty. Computationally, it was determined that impingement free range of motion is limited during internal rotation in flexion and during external rotation in extension. Experimentally, our results suggest that the posterior …

Tibial Strains And Tray-Bone Micromotions After Total Knee Arthroplasty: Computational Studies Evaluating The Tibial Fixation, Huizhou Yang

Electronic Theses and Dissertations

Cemented and cementless fixation in total knee arthroplasty (TKA) have been successfully used for decades. As the number of younger and more active patients treated with TKA continues to increase, long-term implant survivorship is of increasing importance. One of the most common complications and hence the reason for revision is mechanical loosening (23.1% of all revised TKA). The loosening mechanisms have been proposed for different fixation types. For cemented fixation, bone remodeling after surgery is regulated by the changes in strain energy density (SED). The recruitment of osteoclasts and osteoblasts is controlled by SED-related signals. Insufficient stimuli can promote bone …

Electrospun Fiber Scaffolds For Engineering Glial Cell Behavior To Promote Neural Regeneration, Devan L. Puhl, Jessica L. Funnell, Derek W. Nelson, Manoj K. Gottipati, Ryan J. Gilbert

Chemical and Biochemical Engineering Faculty Research & Creative Works

Electrospinning is a fabrication technique used to produce nano-or micro-diameter fibers to generate biocompatible, biodegradable scaffolds for tissue engineering applications. Electro spun fiber scaffolds are advantageous for neural regeneration because they mimic the structure of the nervous system extracellular matrix and provide contact guidance for regenerating axons. Glia are non-neuronal regulatory cells that maintain homeostasis in the healthy nervous system and regulate regeneration in the injured nervous system. Electro spun fiber scaffolds offer a wide range of characteristics, such as fiber alignment, diameter, surface nano topography, and surface chemistry that can be engineered to achieve a desired glial cell response …

Recent Advances In The Redox-Responsive Drug Delivery Nanoplatforms: A Chemical Structure And Physical Property Perspective, Shirin Mollazadeh, Marcin Mackiewicz, Mostafa Yazdimamaghani

Chemical and Biochemical Engineering Faculty Research & Creative Works

Poor water solubility, off-target toxicity, and small therapeutic window are among major obstacles for the development of drug products. Redox-responsive drug delivery nanoplatforms not only overcome the delivery and pharmacokinetic pitfalls observed in conventional drug delivery but also leverage the site-specific delivery properties. Cleavable diselenide and disulfide bonds in the presence of elevated reactive oxygen species (ROS) and glutathione concentration are among widely used stimuli-responsive bonds to design nanocarriers. This review covers a wide range of redox-responsive chemical structures and their properties for designing nanoparticles aiming controlled loading, delivery, and release of hydrophobic anticancer drugs at tumor site.

Bibliometric Review On Applications Of Disease Detection Using Digital Image Processing Techniques, Jayant Jagtap, Rahil Sharma, Aryan Sinha, Nikhil Panda, Amulya Reddy

Library Philosophy and Practice (e-journal)

Advances around the field of deep learning and cognitive computing have allowed mankind to look and solve the problems of the world in a completely new way. Deep learning has been making huge advancements in the field of healthcare, which most importantly focuses upon disease detection and disease prediction. Techniques such as these have been conceptualized the idea of early detection and economical ways of treating the predicted disease in particular. Still, it has been observed that there seems to be no change in the way diagnosis of a particular disease takes place even in the 21^st generation of …

Bibliometric Review On Liver And Tumour Segmentation Using Deep Learning, Jayant Jagtap, Aamir Habeeb, Avinash Jha, Shrey Aggarwal, Khushi Gupta

Library Philosophy and Practice (e-journal)

One of the major organs in the body is liver where tumors occur often. Malignant liver tumors pose a serious hazard to human life and health. Manual segmentation of the liver organ and tumor from computed tomography (CT) scans is difficult, time-consuming, and skewed to the clinician's experience, yet it is essential for hepatic surgical planning. However, due to the following considerations, segmenting liver tumors from computed tomography (CT) images is difficult: In CT pictures, the contrast between the liver tumor and healthy tissues is low, and the boundary is indistinct; the picture of the liver tumor is confusing, with …

In Vitro And In Vivo Response To A Novel Borophosphate Bioactive Glass, Nada Abokefa

Masters Theses

"Bioactive glasses have been widely used in several biomedical and tissue engineering applications since the late 1960s. Numerous families of bioactive glasses have emerged over the years, with each having its own advantage and disadvantage. One concern common to all families is that most bioactive glasses create a basic or acidic environment when degraded and, therefore, are toxic for cells. Recently, there has been an increased interest in borophosphate bioactive glass (BPBGs) because of their neutral pH, release of therapeutic ions, and biodegradable properties. Despite the growing interest, there is little reported on the bioactivity of BPBGs. The biological effects …

Safety Analysis Of Battery-Powered Adaptive Ride-On Toys For Children With Disabilities, Abbey Fraser

UNF Graduate Theses and Dissertations

Modified battery-powered ride-on toy cars, or adaptive ride-on toys, represent novel rehabilitation tools and developmental aids for children with disabilities. Studies have shown that children are benefiting socially and developmentally from their use. However, the use of these toys by children with disabilities potentially poses a risk of injury and it is vitally important to ensure the safe use of these toys, particularly for the benefit of those with developmental challenges.

Within this context, the purpose of the first study was to determine whether modifications to ride-on toys are sufficient to prevent common modes of injury such as falls, passenger …

Impact Of Hemodynamic Vortex Spatial And Temporal Characteristics On Analysis Of Intracranial Aneurysms, Kevin W. Sunderland

Dissertations, Master's Theses and Master's Reports

Subarachnoid hemorrhage is a potentially devastating pathological condition in which bleeding occurs into the space surrounding the brain. One of the prominent sources of subarachnoid hemorrhage are intracranial aneurysms (IA): degenerative, irregular expansions of area(s) of the cerebral vasculature. In the event of IA rupture, the resultant subarachnoid hemorrhage ends in patient mortality occurring in ~50% of cases, with survivors enduring significant neurological damage with physical or cognitive impairment. The seriousness of IA rupture drives a degree of clinical interest in understanding these conditions that promote both the development and possible rupture of the vascular malformations. Current metrics for the …

Sensing Methods For Two-Target And Four-Target Detection In Time-Constrained Vector Poisson And Gaussian Channels, Muhammad Fahad

Dissertations, Master's Theses and Master's Reports

In this dissertation we consider a sensor scheduling or resource management problem for a vector Poisson and Gaussian channels. The input is a binary random vector and the output is a set of conditionally independent Poisson or Gaussian random variables. The objective is to design a scaling matrix, which is a linear transformation whose purpose is to entangle the different inputs, under a total given energy/time constraint. The two metrics are adopted to quantify the performance of the designed scaling matrix: mutual information and Bayesian inference. In other words, it is an experimental design problem where the objective is to …

Identifying Alternate Resources And Adjusting Expectations For Senior Design Projects During The Covid-19 Pandemic Of 2020, Jay R. Goldberg

Biomedical Engineering Faculty Research and Publications

In March 2020, the COVID-19 pandemic required capstone design course instructors to transition to online learning. Student project teams were denied access to resources needed to construct and test prototypes scheduled to be delivered to project sponsors and clients at the end of the semester. Face-to-face collaboration was replaced with virtual team meetings. At Marquette University, efforts to identify (1) barriers to completing projects, (2) potential alternate prototyping resources, (3) adjustments to expectations of teams, and (4) changes to course deliverable requirements were completed. The results of these activities, the thought process used to guide students through the search for …

Prediction Of Emg Activation Profiles From Gait Kinematics And Kinetics During Multiple Terrains, Erika V. Zabre-Gonzalez, Diego Amieva-Alvarado, Scott A. Beardsley

Biomedical Engineering Faculty Research and Publications

Continuous myoelectric prediction of intended limb dynamics has the ability to provide transparent control of a prosthesis by the user. However, the impact on these models of adding a human user into the control loop is less clear. Here, the ability of a User Response Model (URM) to continuously predict EMG activity from gait kinematics and kinetics collected during three mobility tasks (level-ground walking, stair ascent, and stair descent) was examined. Multiple-input, multiple-output NARX-based URMs were developed with two outputs (ankle plantarflexor and dorsiflexor) and variable inputs (ankle kinetics, and shank and/or ankle kinematics). Accuracy in predicting the tibialis anterior …

Studies On Protein Solubility, Ke Li

Doctoral Dissertations

"Solubility is a critical factor of protein-based drugs during processing and patient administration. This study focused on two aspects of solubility: one was the poly (ethylene) glycol (PEG) precipitation of monoclonal antibodies (mAbs) and another was crystallins aggregation that is associated with cataracts. Protein precipitation by PEG is a common technique for downstream processing. The effects of pH, ionic strength and the exclude volume effect on the protein precipitation by PEG were extensively studied, but the effects of glycosylation on protein precipitation by PEG has not been examined. Protein aggregation is not only a problem in downstream processing, but it …