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Articles 1 - 6 of 6
Full-Text Articles in Medicine and Health Sciences
Icloudecg: A Mobile Cardiac Telemedicine System, David S. Clifford
Icloudecg: A Mobile Cardiac Telemedicine System, David S. Clifford
Masters Theses
With rising healthcare costs and a substantially growing number of patients 65 or over, the benefits of telemedicine and patient self-monitoring systems are becoming increasingly evident. Patients, physicians, hospitals, and even insurance providers benefit from vigilant, cost-effective patient monitoring systems. This thesis describes the development of a portable, smart-phone connected system for continuous cardiac monitoring. The system is capable of continuously monitoring the conditions of the heart, automated detection of cardiac arrhythmias, and real-time notifying patients and physicians of the detected abnormalities. The system consists of four main subsystems: 1) a Bluetooth capable chest-strap ECG, 2) an Android-enabled mobile device, …
Fiber Optic Bandage, Logan Mcneil, Cameron Pilkey, Brittani Erwin, Adam Wojnar
Fiber Optic Bandage, Logan Mcneil, Cameron Pilkey, Brittani Erwin, Adam Wojnar
Faculty Publications and Other Works -- Biomedical and Diagnostic Sciences
The purpose of this document is to show the report for the Fiber optic device formulated through the biomedical engineering department with a senior design group. A growing issue in medical technology is open wound care. Particularly prevalent in diabetics, open wound care is expensive and time consuming. Certain wavelengths of light have not only shown to have germicidal properties, but also allow cell growth and regeneration. The following design was founded around these ideas, and an initial design was developed. The design centered around using fiber optics as a means of replacing a wet bandage in a normal wound …
The Characterization Of Amyloid Fibrils And Novel Synthetic Heparin-Binding Peptides Binding To Cell Surfaces, Nicole Marie Hackenbrack
The Characterization Of Amyloid Fibrils And Novel Synthetic Heparin-Binding Peptides Binding To Cell Surfaces, Nicole Marie Hackenbrack
Chancellor’s Honors Program Projects
No abstract provided.
Fiber Optic Bandage, Logan Mcneil
Fiber Optic Bandage, Logan Mcneil
Chancellor’s Honors Program Projects
No abstract provided.
Dynamic Simulation And Neuromuscular Control Of Movement: Applications For Predictive Simulations Of Balance Recovery, Misagh Mansouri Boroujeni
Dynamic Simulation And Neuromuscular Control Of Movement: Applications For Predictive Simulations Of Balance Recovery, Misagh Mansouri Boroujeni
Doctoral Dissertations
Balance is among the most challenging tasks for patients with movement disorders. Study and treatment of these disorders could greatly benefit from combined software tools that offer better insights into neuromuscular biomechanics, and predictive capabilities for optimal surgical and rehabilitation treatment planning. A platform was created to combine musculoskeletal modeling, closed-loop forward dynamic simulation, optimization techniques, and neuromuscular control system design. Spinal (stretch-reflex) and supraspinal (operational space task-based) controllers were developed to test simulation-based hypotheses related to balance recovery and movement control. A corrective procedure (rectus femoris transfer surgery) was targeted for children experiencing stiff-knee gait and how this procedure …
A Computational, Topological Approach To Icu Mortality Rate Prediction With Data Relationship Realization, Adam Michael Aaron
A Computational, Topological Approach To Icu Mortality Rate Prediction With Data Relationship Realization, Adam Michael Aaron
Masters Theses
The objective of this work is to predict the mortality of intensive care unit patients based on their physiological data and understand the relationships between physiological data. Such a model may be used to prioritize care when resources are limited or identify patients that will need significant care in the immediate future. This effort will take a novel approach applying computational topological analysis to classify patients. The algorithm predicting the patient outcomes is trained using an evolutionary algorithm. The dataset used is from the 2012 PhysioNet Computing in Cardiology Challenge. A set containing 4000 records with outcomes was used to …