Biomedical Engineering and Bioengineering Commons^™

Enhancing Human Key Point Identification: A Comparative Study Of High-Resolution Vicon Dataset And Coco Dataset Using Bpnet, Bibash Lama

Masters Theses

Accurately identifying human key points is crucial for various applications, including activity recognition, pose estimation, and gait analysis. This study presents a high-resolution dataset created using the VICON motion capture system and three differently oriented 2D cameras, that can be used to train different neural networks for estimating the 2D key joint positions of the person from the 2D images or videos. The participants in the study included 25 healthy adults (17 males and 8 females) performing normal gait movements for about 2 to 3 seconds. The VICON system captured 3D ground truth data, while the three 2D cameras collected …

Cfd Analysis Of Subcutaneous Deposition And Dispersion Of Insulin In Adipose Tissue, Ryan C. Lubbers

Masters Theses

Drug delivery is the most important factor of many therapies, but a lack of technology and research have led to a very generalized understanding of drug kinetics. Insulin pump therapy for the treatment of Type 1 Diabetes depends on precise delivery of the hormone into the adipose region between the dermis and underlying muscle. The kinetics of insulin within the adipose tissue environment is not well understood and varies greatly case to case. The use of computation fluid dynamics (CFD) models to study insulin kinetics in relation to influential factors will lead to a better understanding of the characteristics of …

An Investigation Into The Development Of A Low Cost, Easy To Use Seizure Analysis Tool., Cody Dean

Masters Theses

The need for collaborating and sharing data and research between doctors, researchers, universities and patients has never been more necessary. We are seeing firsthand how a deadly virus can completely devastate the world in a matter of months and being able to react quickly is the top priority. Open source tools are making it possible to share research and learnings about viruses like COVID-19 across countries, industries, and universities and these tools and philosophies extend across all areas of medical research.

The amount of data that is being collected within the medical industry is increasing at an exponential rate and …

Changes In Neural Network Connectivity Of Normal Young Adults In Response To Power Wheelchair Trainer Using Eeg Coherence, Ruby Phung

Masters Theses

The ability to move and explore their surrounding environment plays a critical role in the development of cognitive function in children, especially during early childhood. The lack of independent and autonomous mobility is, therefore, a clear disadvantage for the overall development of children with multiple, severe disabilities. Limited number of studies have been conducted on the impact of power mobility device on this specific population. Previous exploratory and pilot studies showed promising results regarding quantifiable and consistent changes in the electroencephalogram (EEG) of children with multiple, severe disabilities when provided with power mobility training. This study aimed to further extend …

Analysis Of Center Of Pressure And Center Of Mass To Determine Patterns Of Postural Stability In Neurotypical Subjects, Natalie Tipton

Masters Theses

The body’s postural control mechanism is responsible for responding to perturbations of balance and keeping the body upright. One of the main ways that this is completed during quiet standing, where both feet are planted on the ground, is through center of pressure oscillations. In these oscillations, the center of pressure circles around the center of mass, constantly counteracting any lean that exists in the body. These oscillations can be recorded with floorembedded force plates and center of mass can be recorded with a motion capture system. In this research, these signals were recorded for stances with feet together and …

The Design And Development Of A Device To Assist In Boosting Patients, Taylor A. Rieckhoff

Masters Theses

A common task a nurse is required to perform is called boosting patients. Boosting a patient is defined as lifting or sliding a patient back up in the bed after having slid down (Mannheim, Zieve, & Conaway, 2017). The current method for boosting patients involves a minimum of two personnel and an 11-step process. The 11-step process requires the person to manually lift and pull the patient using an existing half sheet on the bed (Mannheim, Zieve, & Conaway, 2017). Patients who cannot move or support themselves are moved every two to six hours or upon request (Bihn, Rieckhoff, Burkman, …

Differentiating Epileptic From Psychogenic Nonepileptic Eeg Signals Using Time Frequency And Information Theoretic Measures Of Connectivity, Sarah Barnes

Masters Theses

Differentiating psychogenic nonepileptic seizures from epileptic seizures is a difficult task that requires timely recording of psychogenic events using video electroencephalography (EEG). Interpretation of video EEG to distinguish epileptic features from signal artifacts is error prone and can lead to misdiagnosis of psychogenic seizures as epileptic seizures resulting in undue stress and ineffective treatment with antiepileptic drugs. In this study, an automated surface EEG analysis was implemented to investigate differences between patients classified as having psychogenic or epileptic seizures. Surface EEG signals were grouped corresponding to the anatomical lobes of the brain (frontal, parietal, temporal, and occipital) and central coronal …

Methods Of Estimating Foot And Ankle Power In Takeoff Phase Of Standing Vertical Jump, Kundan Joshi

Masters Theses

Experimental motion capture studies have commonly considered the foot as a single rigid body. However, the presence of internal joints as well as soft-tissue interactions inside the foot demonstrate that the foot is in fact not rigid. Various methods have been applied to study the deviations of the foot from rigid body mechanics, such as developing multi-segment foot models or employing compensation strategies for the rigid foot model. However, no study has compared these compensation strategies with multi-segment models in any movement such as gait or jumping. This study compared two main compensation strategies (distal foot power and power balance …

Time Evolution Of Ecog Network Connectivity In Patients With Refractory Epilepsy, Michael J. Selesko

Masters Theses

Epilepsy is a common neurological disorder that causes recurrent, unprovoked seizures. Focal, refractory epilepsy is characterized by seizures that start in a specific area in the brain and do not respond to antiepileptic medication. This study was conducted to characterize the connectivity of the focal brain region where seizures originate, known as the epileptogenic zone. Connectivity was measured from electrocorticogram (ECoG) recordings, during seizure events, using information theoretic measures mutual information (MI) and (TE). MI is the amount of information shared between two discrete random variables. TE is the directed information transfer between two discrete random variables. MI provides information …

Identification Of The Seizure Onset Zone By Auto-Regressive Model Residual Modulation Applied To Intracranial Eeg And Its Correlation To Channels With High Preponderances Of Detected Hfos, Allison L. Rogutich

Masters Theses

The objective of this thesis was to examine the ability of the Autoregressive Model Residual Modulation (ARRm) method to identify the Seizure Onset Zone (SOZ) in intracranial electroencephalogram (iEEG) of patients with refractory epilepsy. Patients who have not become seizure free after multiple trials of antiepileptic drugs (AEDs) may seek treatment through epilepsy surgery. Cortical electrodes are implanted directly on the cerebral cortex, then iEEG is collected. A specialized neurologist reviews the iEEG, then in consultation with the neurosurgeon, the SOZ is determined and areas of the brain may be chosen for resection. The success rate of epilepsy surgery varies, …

A Transcutaneous Data And Power Transfer System For Osteogenesis Monitoring Sensors, Deepak Dileepkumar

Masters Theses

Implant devices are widely used in health care applications such as life support systems, patient rehabilitation devices and patient monitoring devices. Medical implants have enabled physicians to obtain relevant real time information regarding an organ, or a site of interest with in the body and suggest treatment accordingly. In some cases, the position of the implant within the body or threats of infections prevents wired communication techniques to extract information from the implant. Wireless communication is the alternative in such cases. Distraction osteogenesis is one such application where wireless communication can be established with callus growth monitoring sensors to obtain …

Registration And Segmentation Of Multimodality Images For Post Processing Of Skeleton In Preclinical Oncology Studies, Vineeth Radhakrishnan

Masters Theses

Advancements in medical imaging techniques provide biomedical researchers with quality anatomical and functional information inside preclinical subjects in the fields of cancer, osteopathic, cardiovascular, and neurodegenerative research. The throughput of the preclinical imaging studies is a critical factor which determines the pace of small animal medical research. The time involved in manual analysis of large amount of imaging data prior to data interpretation by the researcher, limits the number of studies in a time frame.

In the proposed solution, an automated image segmentation method was used to segment individual vertebrae in mice. Individual vertebrae of MOBY atlas were manually segmented …

Human Intracranial High Frequency Oscillation Detection Using Time Frequency Analysis And Its Relation To The Seizure Onset Zone, Riazul Islam

Masters Theses

One third of the patients diagnosed with focal epilepsy do not respond to antiepileptic drugs. For these patients the possible diagnosis options to give seizure freedom or at least reduce seizure frequencies significantly would be surgical resection or seizure interrupting implantable devices. The success of these procedures depends on accurate detection of the region causing seizure also known as epileptic zone. This requires detail pre-surgical evaluation including Invasive Video Electroencephalographic Monitoring (IVEM). The resulting great volume of intracranial Electroencephalography (iEEG) signal is visually examined by an expert epileptologist which can be time consuming, extremely complex, and not always effective. We …